This version rendered on September 16 2023 16:28 Based on scripts created for J. Fox and S. Weisberg (2019) An R Companion to Applied Regression, 3rd Edition
Loading required package: carData
The Davis data set on measured versus reported height
[1] "data.frame"
200 x 5 data.frame (195 rows omitted)
sex weight height repwt repht
[f] [i] [i] [i] [i]
1 M 77 182 77 180
2 F 58 161 51 159
3 F 53 161 54 158
. . .
199 M 90 181 91 178
200 M 79 177 81 178
23 x 7 data.frame (18 rows omitted)
temp pres fail n erosion blowby damage
[i] [i] [i] [i] [i] [i] [i]
4/12/81 66 50 0 6 0 0 0
11/12/81 70 50 1 6 1 0 4
3/22/82 69 50 0 6 0 0 0
. . .
11/26/85 76 200 0 6 0 0 0
1/12/86 58 200 1 6 1 0 4
cooperation <- c(49, 64, 37, 52, 68, 54, 61, 79, 64, 29,
27, 58, 52, 41, 30, 40, 39, 44, 34, 44)
(condition <- rep(c("public", "anonymous"), c(10, 10)))
[1] "public" "public" "public" "public" "public"
[6] "public" "public" "public" "public" "public"
[11] "anonymous" "anonymous" "anonymous" "anonymous" "anonymous"
[16] "anonymous" "anonymous" "anonymous" "anonymous" "anonymous"
[1] "male" "male" "male" "male" "male" "female"
[7] "female" "female" "female" "female" "male" "male"
[13] "male" "male" "male" "female" "female" "female"
[19] "female" "female"
[1] 5 5 5
[1] 1 2 3 1 2 3
[1] 1 1 1 2 2 3
20 x 3 data.frame (15 rows omitted)
cooperation condition sex
[n] [c] [c]
1 49 public male
2 64 public male
3 37 public male
. . .
19 34 anonymous female
20 44 anonymous female
Guyer2 <- data.frame(
cooperation = c(49, 64, 37, 52, 68, 54, 61, 79, 64, 29,
27, 58, 52, 41, 30, 40, 39, 44, 34, 44),
condition = rep(c("public", "anonymous"), c(10, 10)),
sex = rep(rep(c("male", "female"), each=5), 2)
)
identical(Guyer1, Guyer2)
[1] TRUE
The structure of a data frame:
'data.frame': 20 obs. of 3 variables:
$ cooperation: num 49 64 37 52 68 54 61 79 64 29 ...
$ condition : chr "public" "public" "public" "public" ...
$ sex : chr "male" "male" "male" "male" ...
$names
[1] "cooperation" "condition" "sex"
$class
[1] "data.frame"
$row.names
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
From a remote site:
Duncan <- read.table(
file="https://socialsciences.mcmaster.ca/jfox/Books/Companion/data/Duncan.txt",
header=TRUE)
brief(Duncan) # first 3 and last 2 rows
45 x 4 data.frame (40 rows omitted)
type income education prestige
[c] [i] [i] [i]
accountant prof 62 86 82
pilot prof 72 76 83
architect prof 75 92 90
. . .
policeman bc 34 47 41
waiter bc 8 32 10
I’m going to download this text file from John Fox’s website to illustrate what it looks like when reading a local file
download.file(
"https://socialsciences.mcmaster.ca/jfox/Books/Companion/data/Duncan.txt",
"Duncan.txt"
)
Duncan <- read.table("Duncan.txt", header = TRUE)
brief(Duncan)
45 x 4 data.frame (40 rows omitted)
type income education prestige
[c] [i] [i] [i]
accountant prof 62 86 82
pilot prof 72 76 83
architect prof 75 92 90
. . .
policeman bc 34 47 41
waiter bc 8 32 10
See the ‘readxl’ package and the function ‘read_excel’
The Hadleyverse uses ‘tibbles’: data frames with extra information and an aversion to factors and rownames
── Attaching core tidyverse packages ───────── tidyverse 2.0.0 ──
✔ dplyr 1.1.2 ✔ readr 2.1.4
✔ forcats 1.0.0 ✔ stringr 1.5.0
✔ ggplot2 3.4.3 ✔ tibble 3.2.1
✔ lubridate 1.9.2 ✔ tidyr 1.3.0
✔ purrr 1.0.2
── Conflicts ─────────────────────────── tidyverse_conflicts() ──
✖ readr::cols() masks spida2::cols()
✖ dplyr::filter() masks stats::filter()
✖ ggplot2::labs() masks spida2::labs()
✖ dplyr::lag() masks stats::lag()
✖ purrr::map() masks spida2::map()
✖ dplyr::recode() masks car::recode()
✖ purrr::some() masks car::some()
✖ lubridate::years() masks spida2::years()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
# A tibble: 45 × 4
type income education prestige
<chr> <int> <int> <int>
1 prof 62 86 82
2 prof 72 76 83
3 prof 75 92 90
4 prof 55 90 76
5 prof 64 86 90
# ℹ 40 more rows
# A tibble: 45 × 4
type income education prestige
<chr> <int> <int> <int>
1 prof 62 86 82
2 prof 72 76 83
3 prof 75 92 90
4 prof 55 90 76
5 prof 64 86 90
6 prof 21 84 87
7 prof 64 93 93
8 prof 80 100 90
9 wc 67 87 52
10 prof 72 86 88
# ℹ 35 more rows
45 x 4 data.frame (40 rows omitted)
type income education prestige
[c] [i] [i] [i]
1 prof 62 86 82
2 prof 72 76 83
3 prof 75 92 90
. . .
44 bc 34 47 41
45 bc 8 32 10
Data frames have two personalities:
'data.frame': 45 obs. of 4 variables:
$ type : chr "prof" "prof" "prof" "prof" ...
$ income : int 62 72 75 55 64 21 64 80 67 72 ...
$ education: int 86 76 92 90 86 84 93 100 87 86 ...
$ prestige : int 82 83 90 76 90 87 93 90 52 88 ...
[1] 82 83 90 76 90 87 93 90 52 88 57 89 97 59 73 38 76 81 45 92
[21] 39 34 41 16 33 53 67 57 26 29 10 15 19 10 13 24 20 7 3 16
[41] 6 11 8 41 10
3rd row, 4th columns
[1] 90
All rows, 4th column
[1] 82 83 90 76 90 87 93 90 52 88 57 89 97 59 73 38 76 81 45 92
[21] 39 34 41 16 33 53 67 57 26 29 10 15 19 10 13 24 20 7 3 16
[41] 6 11 8 41 10
[1] 82 83 90 76 90 87 93 90 52 88 57 89 97 59 73 38 76 81 45 92
[21] 39 34 41 16 33 53 67 57 26 29 10 15 19 10 13 24 20 7 3 16
[41] 6 11 8 41 10
Using the ‘with’ function so names are interpreted within the data frame
[1] 82 83 90 76 90 87 93 90 52 88 57 89 97 59 73 38 76 81 45 92
[21] 39 34 41 16 33 53 67 57 26 29 10 15 19 10 13 24 20 7 3 16
[41] 6 11 8 41 10
[1] 47.68889
Formulas are particularly important for modeling functions. But they are widely used in more recent software.
Fitting a least-squares model:
Formulas contain the ‘~’ symbol. Usually, variable names on the left and dependent variables and names on the right are predictor variables.
The names in the formula are interpreted within the data frame that is provided as the ‘data’ argument. If the variable can’t be found in the data frame, then the ‘lm’ function looks outside.
Call:
lm(formula = prestige ~ income + education, data = Duncan)
Residuals:
Min 1Q Median 3Q Max
-29.538 -6.417 0.655 6.605 34.641
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -6.06466 4.27194 -1.420 0.163
income 0.59873 0.11967 5.003 1.05e-05 ***
education 0.54583 0.09825 5.555 1.73e-06 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 13.37 on 42 degrees of freedom
Multiple R-squared: 0.8282, Adjusted R-squared: 0.82
F-statistic: 101.2 on 2 and 42 DF, p-value: < 2.2e-16
Large US metropolitan areas in 1968
110 x 4 data.frame (105 rows omitted)
population nonwhite density crime
[i] [n] [i] [i]
Akron 675 7.3 746 2602
Albany 713 2.6 322 1388
Albuquerque NA 3.3 NA 5018
. . .
York 316 2.0 220 1062
Youngstown 528 9.2 513 1698
[1] 746 322 NA 491 1612 770 41 877 240 147 272 1831
[13] 1252 832 630 NA NA 328 308 1832
Dealing effectively with missing data is NOT something to be done mechanically. It’s easy to make the symptom go away without dealing with the underlying problems.
library("mice") # multiple imputation by chained equations (you might need to install this package!)
Attaching package: 'mice'
The following object is masked from 'package:stats':
filter
The following objects are masked from 'package:base':
cbind, rbind
nonwhite crime population density
100 1 1 1 1 0
10 1 1 0 0 2
0 0 10 10 20
population nonwhite density crime Total
1 1 1 1 1 100
2 0 1 0 1 10
Total 10 0 10 0 110
Some function have an argument to ignore NAs
[1] NA
[1] 412
[1] NA
[1] 765.67
Question: Why are the mean and mediam so different?
with(Freedman, {
plot(density, crime, main="US Metropolitan Areas (1968)")
showLabels(density, crime, labels=row.names(Freedman),
n=8, method="x")
})
Jersey.City New.York Paterson Newark Detroit
42 59 65 60 26
Chicago Boston Los.Angeles
17 11 49
look up ?showLabels
Warning: NaNs produced
[1] NaN NaN -Inf 0 1 NA 2
but
Warning: NaNs produced in function "log"
[1] 0.00000+1.364376i -0.30103+1.364376i -Inf+ NaNi
[4] 0.00000+0.000000i 1.00000+0.000000i NaN+ NaNi
[7] 2.00000+0.000000i
Using within and non-standard variable names
logs <- data.frame(x = c(-1, -.5, 0, 1, 10, NA, 100))
logs <- within(logs, { # an expression surrounded by curly braces
logx <- log(x)
logz <- log(x+0i)
})
Warning in log(x): NaNs produced
x logz logx
1 -1.0 0.000000+3.141593i NaN
2 -0.5 -0.693147+3.141593i NaN
3 0.0 -Inf+0.000000i -Inf
4 1.0 0.000000+0.000000i 0.000000
5 10.0 2.302585+0.000000i 2.302585
6 NA NA NA
7 100.0 4.605170+0.000000i 4.605170
[1] 2 NA 12 NA
[1] NA
But NA is treated intelligently in logical expressions and some arithmetic expressions
[1] TRUE NA
[1] NA FALSE
[1] 1 1 1
[1] Inf NA 0
To find NA’s in a vector you can’t use ‘==’
[1] FALSE TRUE FALSE NA FALSE
But:
[1] NA NA NA NA NA
You need to use ‘is.na’
### More on NAs ####
[1] FALSE FALSE FALSE TRUE FALSE
with(
Freedman,
plot(log(density, base=10), crime, main="(b)")
)
abline(
lm(crime ~ log(density, base=10), data=Freedman),
lty="dashed", lwd=2)
good <- with(Freedman, complete.cases(crime, density))
with(Freedman,
lines(lowess(log(density[good], base=10), crime[good],
f=1.0), lwd=2))
legend("bottomright", legend=c("ols", "lowess"),
lty=c("dashed", "solid"), lwd=2, inset=.02)
Call:
lm(formula = crime ~ log(density, base = 10), data = Freedman)
Coefficients:
(Intercept) log(density, base = 10)
1297.3 542.6
[1] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[11] TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE
100 x 4 data.frame (95 rows omitted)
population nonwhite density crime
[i] [n] [i] [i]
Akron 675 7.3 746 2602
Albany 713 2.6 322 1388
Allentown 534 0.8 491 1182
. . .
York 316 2.0 220 1062
Youngstown 528 9.2 513 1698
[1] NA NA NA NA NA
[1] FALSE FALSE TRUE FALSE TRUE
[1] 20
[1] 0
perc.coop <- 100*Guyer$cooperation/120
remove("perc.coop") # from the global environment
Guyer$perc.coop <- 100*Guyer$cooperation/120
brief(Guyer) # first 3 rows and last 2 rows
20 x 4 data.frame (15 rows omitted)
cooperation condition sex perc.coop
[n] [f] [f] [n]
1 49 public male 40.83333
2 64 public male 53.33333
3 37 public male 30.83333
. . .
19 34 anonymous female 28.33333
20 44 anonymous female 36.66667
20 x 4 data.frame (15 rows omitted)
cooperation condition sex perc.coop
[n] [f] [f] [n]
1 -0.3708596 public male 40.83333
2 0.1335314 public male 53.33333
3 -0.8079227 public male 30.83333
. . .
19 -0.9279868 anonymous female 28.33333
20 -0.5465437 anonymous female 36.66667
(22.5,33.3] (33.3,44.2] (44.2,55] (55,65.9]
6 7 5 2
Guyer$coop.thirds <- with(Guyer, cut(perc.coop,
quantile(perc.coop, c(0, 1/3, 2/3, 1)),
labels=c("low", "med", "high"),
include.lowest=TRUE))
summary(Guyer$coop.thirds)
low med high
7 6 7
[1] "low" "high" "low" "low" "high" "low" "high" "high"
[9] "high" "low" "low" "low" "low" "low" "low" "low"
[17] "low" "low" "low" "low"
set.seed(12345) # for reproducibility
(sample.20 <- sort(sample(nrow(Womenlf), 20))) # 20 random cases
[1] 2 10 38 40 51 75 86 93 94 96 103 142 152 160 208
[16] 209 216 218 220 256
partic hincome children region
2 not.work 13 present Ontario
10 not.work 23 present Ontario
38 fulltime 20 absent Ontario
40 parttime 6 absent Atlantic
51 parttime 10 present Prairie
75 not.work 17 present Ontario
86 fulltime 27 absent BC
93 parttime 9 present Ontario
94 parttime 9 present Ontario
96 not.work 17 present Ontario
103 not.work 15 present Atlantic
142 not.work 14 present Ontario
152 fulltime 13 absent BC
160 fulltime 15 absent Ontario
208 fulltime 11 absent Quebec
209 not.work 9 present Quebec
216 parttime 17 present Quebec
218 parttime 15 absent Quebec
220 fulltime 16 absent Quebec
256 not.work 9 absent Quebec
[1] 1403451174
Womenlf$working <- Recode(Womenlf$partic,
' c("parttime", "fulltime")="yes"; "not.work"="no" ')
Womenlf$working.alt <- Recode(Womenlf$partic,
' c("parttime", "fulltime")="yes"; else="no" ')
Womenlf$working[sample.20] # the 20 sampled cases
[1] no no yes yes yes no yes yes yes no no no yes yes yes
[16] no yes yes yes no
Levels: no yes
[1] TRUE
Womenlf$fulltime <- Recode(Womenlf$partic,
' "fulltime"="yes"; "parttime"="no"; "not.work"=NA ')
Womenlf$fulltime[sample.20] # the 20 sampled cases
[1] <NA> <NA> yes no no <NA> yes no no <NA> <NA> <NA>
[13] yes yes yes <NA> no no yes <NA>
Levels: no yes
Womenlf$region.4 <- Recode(Womenlf$region,
' c("Prairie", "BC")="West" ')
Womenlf$region.4[sample.20] # the 20 sampled cases
[1] Ontario Ontario Ontario Atlantic West Ontario
[7] West Ontario Ontario Ontario Atlantic Ontario
[13] West Ontario Quebec Quebec Quebec Quebec
[19] Quebec Quebec
Levels: Atlantic Ontario Quebec West
Womenlf$working.alt.2 <- factor(with(Womenlf,
ifelse(partic %in% c("parttime", "fulltime"), "yes", "no")))
with(Womenlf, all.equal(working, working.alt.2))
[1] TRUE
husbands.income <- c(10, 30, 50, 20, 120) # imagine in $1000s
wifes.income <- c(15, 20, 45, 22, 90)
ifelse (husbands.income > wifes.income,
husbands.income, wifes.income) # larger of the two
[1] 15 30 50 22 120
[1] 15 30 50 22 120
Womenlf$fulltime.alt <- factor(with(Womenlf,
ifelse(partic == "fulltime", "yes",
ifelse(partic == "parttime", "no", NA))))
with(Womenlf, all.equal(fulltime, fulltime.alt))
[1] TRUE
[1] NA
10 x 3 data.frame (7 rows omitted)
cooperation condition sex
[n] [f] [f]
1 49 public male
2 64 public male
. . .
15 30 anonymous male
10 x 3 data.frame (7 rows omitted)
cooperation condition sex
[n] [f] [f]
6 54 public female
7 61 public female
. . .
20 44 anonymous female
20 x 3 data.frame (15 rows omitted)
cooperation condition sex
[n] [f] [f]
1 49 public male
2 64 public male
3 37 public male
. . .
19 34 anonymous female
20 44 anonymous female
brief(Guyer.reordered <- cbind(Guyer.reordered,
pctcoop=round(100*Guyer.reordered$cooperation/120, 2)))
20 x 4 data.frame (15 rows omitted)
cooperation condition sex pctcoop
[n] [f] [f] [n]
1 49 public male 40.83
2 64 public male 53.33
3 37 public male 30.83
. . .
19 34 anonymous female 28.33
20 44 anonymous female 36.67
51920 x 14 data.frame (51915 rows and 11 columns omitted)
idNum . . . policePrecinct neighborhood
[f] [i] [f]
6823 17-000003 1 Cedar Riverside
6824 17-000007 1 Downtown West
6825 17-000073 5 Whittier
. . .
60837 17-491480 2 Marcy Holmes
60838 17-491482 5 Lowry Hill East
84 x 8 data.frame (79 rows and 4 columns omitted)
neighborhood population . . . poverty collegeGrad
[c] [n] [n] [n]
1 Cedar Riverside 8247 0.060 0.258
3 Phillips West 5184 0.042 0.211
4 Downtown West 7141 0.057 0.551
. . .
98 Columbia Park 1699 0.058 0.418
100 Marshall Terrace 1587 0.063 0.409
options(warn=0)
MplsStops %>% group_by(neighborhood) %>%
summarize(nstops = n(),
ntraffic = sum(problem == "traffic"),
nNoCitation = sum(problem == "traffic" &
citationIssued == "NO", na.rm=TRUE),
nYesCitation = sum(problem == "traffic" &
citationIssued == "YES", na.rm=TRUE),
lat = mean(lat),
long = mean(long)) -> Neighborhood
Neighborhood
# A tibble: 87 × 7
neighborhood nstops ntraffic nNoCitation nYesCitation lat
<fct> <int> <int> <int> <int> <dbl>
1 Armatage 77 12 5 0 44.9
2 Audubon Park 554 348 76 15 45.0
3 Bancroft 134 21 7 4 44.9
4 Beltrami 211 158 33 30 45.0
5 Bottineau 377 281 55 19 45.0
6 Bryant 96 19 7 1 44.9
7 Bryn - Mawr 125 47 13 10 45.0
8 Camden Industr… 34 22 9 2 45.0
9 CARAG 559 325 95 18 44.9
10 Cedar - Isles … 153 99 26 3 45.0
# ℹ 77 more rows
# ℹ 1 more variable: long <dbl>
84 x 14 data.frame (79 rows and 9 columns omitted)
neighborhood nstops ntraffic . . . poverty collegeGrad
[f] [i] [i] [n] [n]
1 Armatage 77 12 0.050 0.622
2 Audubon Park 554 348 0.053 0.440
3 Bancroft 134 21 0.053 0.443
. . .
83 Windom 404 221 0.050 0.543
84 Windom Park 461 303 0.058 0.499
[1] Camden Industrial Humboldt Industrial Area
[3] Near - North
87 Levels: Armatage Audubon Park Bancroft Beltrami ... Windom Park
Neigh.combined.2 <- merge(Neighborhood, MplsDemo,
by="neighborhood", all.x=TRUE)
dim(Neigh.combined.2)
[1] 87 14
options(warn=-1)
MplsStops.2 <- merge(MplsStops, Neigh.combined.2,
by="neighborhood")
brief(MplsStops.2)
51920 x 27 data.frame (51915 rows and 23 columns omitted)
neighborhood idNum . . . poverty collegeGrad
[f] [f] [n] [n]
1 Armatage 17-354249 0.050 0.622
2 Armatage 17-156263 0.050 0.622
3 Armatage 17-263998 0.050 0.622
. . .
51919 Windom Park 17-111453 0.058 0.499
51920 Windom Park 17-127035 0.058 0.499
treatment gender pre.1 pre.2 pre.3 pre.4 pre.5 post.1 post.2
1 control M 1 2 4 2 1 3 2
2 control M 4 4 5 3 4 2 2
post.3 post.4 post.5 fup.1 fup.2 fup.3 fup.4 fup.5
1 5 3 2 2 3 2 4 4
2 3 5 3 4 5 6 4 1
[1] 16
OBK.L <- reshape(OBrienKaiser, direction="long",
varying=list(response=3:17),
v.names="response", idvar="subject")
nrow(OBK.L)
[1] 240
treatment gender time response subject
1.1 control M 1 1 1
2.1 control M 1 4 2
3.1 control M 1 5 3
4.1 control F 1 5 4
5.1 control F 1 3 5
6.1 A M 1 7 6
7.1 A M 1 5 7
8.1 A F 1 2 8
9.1 A F 1 3 9
10.1 B M 1 4 10
11.1 B M 1 3 11
12.1 B M 1 6 12
13.1 B F 1 5 13
14.1 B F 1 2 14
15.1 B F 1 2 15
16.1 B F 1 4 16
treatment gender time response subject
1.1 control M 1 1 1
1.2 control M 2 2 1
1.3 control M 3 4 1
1.4 control M 4 2 1
1.5 control M 5 1 1
1.6 control M 6 3 1
1.7 control M 7 2 1
1.8 control M 8 5 1
1.9 control M 9 3 1
1.10 control M 10 2 1
1.11 control M 11 2 1
1.12 control M 12 3 1
1.13 control M 13 2 1
1.14 control M 14 4 1
1.15 control M 15 4 1
OBK.L$phase <- factor(rep(rep(c("pre", "post", "fup"),
each=5), 16))
OBK.L$hour <- factor(rep(rep(1:5, 3), 16))
head(OBK.L, 15)
treatment gender time response subject phase hour
1.1 control M 1 1 1 pre 1
1.2 control M 2 2 1 pre 2
1.3 control M 3 4 1 pre 3
1.4 control M 4 2 1 pre 4
1.5 control M 5 1 1 pre 5
1.6 control M 6 3 1 post 1
1.7 control M 7 2 1 post 2
1.8 control M 8 5 1 post 3
1.9 control M 9 3 1 post 4
1.10 control M 10 2 1 post 5
1.11 control M 11 2 1 fup 1
1.12 control M 12 3 1 fup 2
1.13 control M 13 2 1 fup 3
1.14 control M 14 4 1 fup 4
1.15 control M 15 4 1 fup 5
OBK.W <- reshape(OBK.L, direction="wide", idvar="subject",
v.names="response", drop=c("phase", "hour"),
varying=list(response=paste0(
rep(c("pre", "post", "fup"), each=5), ".", rep(1:5, 3))))
head(OBK.W, 2)
treatment gender subject pre.1 pre.2 pre.3 pre.4 pre.5
1.1 control M 1 1 2 4 2 1
2.1 control M 2 4 4 5 3 4
post.1 post.2 post.3 post.4 post.5 fup.1 fup.2 fup.3 fup.4
1.1 3 2 5 3 2 2 3 2 4
2.1 2 2 3 5 3 4 5 6 4
fup.5
1.1 4
2.1 1
[1] 16
[1] TRUE
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
[1] 3 4
[1] 4 3
[1] 4 7 2 10 6 3 8 1 5 9
[1] 10
NULL
[,1]
[1,] 4
[2,] 7
[3,] 2
[4,] 10
[5,] 6
[6,] 3
[7,] 8
[8,] 1
[9,] 5
[10,] 9
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 4 7 2 10 6 3 8 1 5 9
, , 1
[,1] [,2] [,3]
[1,] 1 5 9
[2,] 2 6 10
[3,] 3 7 11
[4,] 4 8 12
, , 2
[,1] [,2] [,3]
[1,] 13 17 21
[2,] 14 18 22
[3,] 15 19 23
[4,] 16 20 24
$mat.1
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
$mat.2
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
$vec
[1] 4 7 2 10 6 3 8 1 5 9
[1] 4 7 2 10 6 3 8 1 5 9
[1] 7
[1] 10 7 3
[1] 10 7 10
[1] 4 2 6 8 5
a b c d e f g h i j
4 7 2 10 6 3 8 1 5 9
f i g
3 5 8
a b c d e f g h i j
TRUE FALSE TRUE FALSE FALSE TRUE FALSE TRUE TRUE FALSE
a c f h i
4 2 3 1 5
a b c d e f g h i j
4 7 2 10 6 3 8 1 5 9
a b c d e f g h i j
1 7 2 10 3 3 8 1 5 9
a b c d e f g h i j
1 NA 2 NA 3 NA 8 NA 5 NA
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
[1] 8
[1] 4 5
[,1] [,2]
[1,] 4 7
[2,] 5 8
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[1] 4 5 6
[,1]
[1,] 4
[2,] 5
[3,] 6
[,1] [,2]
[1,] 4 10
[2,] 5 11
[3,] 6 12
[,1] [,2] [,3]
[1,] 2 8 11
[2,] 3 9 12
rownames(A) <- c("one", "two", "three") # set row names
colnames(A) <- c("w", "x", "y", "z") # set column names
A
w x y z
one 1 4 7 10
two 2 5 8 11
three 3 6 9 12
x y
one 4 7
two 5 8
w x y z
one 1 4 7 10
three 3 6 9 12
w x y z
one 1 4 7 10
two 2 5 8 11
three 3 6 9 12
w x y z
one 0 0 0 0
two 2 5 NA NA
three 3 6 9 12
$mat.1
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
$mat.2
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
$vec
[1] 4 7 2 10 6 3 8 1 5 9
$mat.2
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
$vec
[1] 4 7 2 10 6 3 8 1 5 9
$mat.2
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
[,1] [,2] [,3]
[1,] "a" "b" "c"
[2,] "a" "b" "c"
[3,] "a" "b" "c"
[4,] "a" "b" "c"
$mat.1
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
[,1] [,2] [,3] [,4]
[1,] 1 4 7 10
[2,] 2 5 8 11
[3,] 3 6 9 12
list.1$mat.1 <- matrix(7:10, 2, 2) # replace element
list.1$title <- "an arbitrary list" # new element
list.1$mat.2 <- NULL # delete element
list.1
$mat.1
[,1] [,2]
[1,] 7 9
[2,] 8 10
$vec
[1] 4 7 2 10 6 3 8 1 5 9
$title
[1] "an arbitrary list"
$mat.1
[,1] [,2]
[1,] 7 9
[2,] 8 10
$vec
[1] 4 7 2 10 6 3 8 1 5 9
$title
NULL
[1] 2
[1] 8
NULL
20 x 3 data.frame (15 rows omitted)
cooperation condition sex
[n] [f] [f]
1 49 public male
2 64 public male
3 37 public male
. . .
19 34 anonymous female
20 44 anonymous female
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12"
[13] "13" "14" "15" "16" "17" "18" "19" "20"
[1] 49 64 37 52 68 54 61 79 64 29 27 58 52 41 30 40 39 44 34 44
[1] 49 64 37 52 68 54 61 79 64 29 27 58 52 41 30 40 39 44 34 44
cooperation condition sex
1 49 public male
2 64 public male
3 37 public male
[1] 49 64
cooperation condition sex
1 49 public male
2 64 public male
3 37 public male
4 52 public male
5 68 public male
cooperation condition sex
6 54 public female
7 61 public female
8 79 public female
9 64 public female
10 29 public female
cooperation condition sex
6 54 public female
7 61 public female
8 79 public female
9 64 public female
10 29 public female
[1] 49 64 37 52 68 54 61 79 64 29 27 58 52 41 30 40 39 44 34 44
[1] 49 64 37 52 68 54 61 79 64 29 27 58 52 41 30 40 39 44 34 44
[1] 49 64 37 52 68 54 61 79 64 29 27 58 52 41 30 40 39 44 34 44
cooperation
1 49
2 64
3 37
4 52
5 68
6 54
c.starts <- c("02/27/2017", "02/24/2016", "05/14/1984")
c.ends <- c("27-03-17", "3-1-17", "1-11-85")
library("lubridate")
(Dates <- data.frame(starts=mdy(c.starts), ends=dmy(c.ends)))
starts ends
1 2017-02-27 2017-03-27
2 2016-02-24 2017-01-03
3 1984-05-14 1985-11-01
Time differences in days
[1] 28 314 536
[1] "Mon" "Wed" "Mon"
[1] "February" "February" "May"
[1] "Q1" "Q1" "Q2"
[1] 2017 2016 1984
[1] 2 2 5
[1] "17H 5M 3S"
[1] "7H 4M 0S"
[1] "7M 4S"
[1] "10H 1M 3S"
[1] 17
[1] 5
[1] 3
[1] "2018-07-10 23:05:01 UTC"
options(warn=-1)
MplsStops$wkday <- factor(weekdays(MplsStops$date,
abbreviate=TRUE),
levels=c("Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"))
(tab1 <- xtabs(~ problem + wkday, data=MplsStops))
wkday
problem Sun Mon Tue Wed Thu Fri Sat
suspicious 3021 3605 3975 3844 3783 4027 3567
traffic 2561 3118 3833 4219 3967 4788 3612
wkday
problem Sun Mon Tue Wed Thu Fri Sat
suspicious 11.7 14.0 15.4 14.9 14.7 15.6 13.8
traffic 9.8 11.9 14.7 16.2 15.2 18.3 13.8
Pearson's Chi-squared test
data: tab1
X-squared = 162.09, df = 6, p-value < 2.2e-16
MplsStops$daynight <- with(MplsStops,
ifelse(hour(date) < 6 | hour(date) >= 18,
"night", "day"))
(tab2 <- xtabs(~ problem + daynight, MplsStops))
daynight
problem day night
suspicious 11610 14212
traffic 10609 15489
daynight
problem day night
suspicious 45.0 55.0
traffic 40.7 59.3
Pearson's Chi-squared test with Yates' continuity
correction
data: tab2
X-squared = 98.361, df = 1, p-value < 2.2e-16
## Manipulating strings ####
download.file("http:/blackwell.math.yorku.ca/MATH6630/Hamlet.txt", 'Hamlet.txt')
Hamlet <- readLines('Hamlet.txt')
head(Hamlet) # first 6 lines
[1] "To be, or not to be: that is the question:"
[2] "Whether 'tis nobler in the mind to suffer"
[3] "The slings and arrows of outrageous fortune,"
[4] "Or to take arms against a sea of troubles,"
[5] "And by opposing end them? To die: to sleep;"
[6] "No more; and by a sleep to say we end"
[1] 35
[1] 42 41 44 42 43 37 46 42 40 50 47 43 39 36 48 49 44 38 41 38
[21] 43 38 44 41 37 43 39 44 37 47 40 42 44 39 26
[1] 1454
[1] "To be, or not to be: that is the question: Whether 'tis"
[2] "nobler in the mind to suffer The slings and arrows of"
[3] "outrageous fortune, Or to take arms against a sea of"
[4] "troubles, And by opposing end them? To die: to sleep; No"
[5] "more; and by a sleep to say we end"
[1] "that is the question"
[1] 254
[1] "T" "o" " " "b" "e" "," " " "o" "r" " " "n" "o" "t" " " "t"
[16] "o" " " "b" "e" ":"
all.lines <- paste(Hamlet, collapse=" ")
words <- strsplit(all.lines, " ")[[1]]
length(words) # number of words
[1] 277
[1] "To" "be," "or" "not" "to"
[6] "be:" "that" "is" "the" "question:"
[11] "Whether" "'tis" "nobler" "in" "the"
[16] "mind" "to" "suffer" "The" "slings"
[1] "To" "be" "or" "not" "to"
[6] "be" "that" "is" "the" "question"
[11] "Whether" "'tis" "nobler" "in" "the"
[16] "mind" "to" "suffer" "The" "slings"
## Substitutions and grep ####
[1] "It's all, 'you, me, me' with you!"
[1] "It's all, 'you, you, you' with you!"
[1] "to" "be" "or" "not" "to"
[6] "be" "that" "is" "the" "question"
[11] "whether" "'tis" "nobler" "in" "the"
[16] "mind" "to" "suffer" "the" "slings"
word.counts <- sort(table(words), decreasing=TRUE)
word.counts[word.counts > 2] # words used more than twice
words
the of to and that a sleep be we bear
22 15 15 12 7 5 5 4 4 3
in is us with
3 3 3 3
[1] "-" "'tis" "a" "action" "after"
[6] "against" "all" "and" "arms" "arrows"
[11] "awry" "ay" "bare" "be" "bear"
[16] "bodkin" "bourn" "but" "by" "calamity"
[1] 167
[1] 55 262
[1] "heart-ache" "-"
[1] 262
[1] "'tis" "a" "action" "after" "against"
[6] "all" "and" "arms" "arrows" "awry"
[11] "ay" "bare" "be" "bear" "bodkin"
[16] "bourn" "but" "by" "calamity" "cast"
[1] 2
[1] 3
[1] 1 2 3 4
data <- c("-123.45", "three hundred", "7550",
"three hundred 23", "Fred")
data[grep("^[0-9.-]*$", data)]
[1] "-123.45" "7550"
[1] "three hundred" "Fred"
[1] "the" "the" "the" "a" "a" "the" "the" "a" "the" "the"
[11] "the" "the" "the" "the" "the" "the" "the" "the" "a" "a"
[21] "the" "the" "the" "the" "the" "the" "the"
[1] 164
[1] 1
survived sex age
Allen, Miss. Elisabeth Walton yes female 29.0000
Allison, Master. Hudson Trevor yes male 0.9167
Allison, Miss. Helen Loraine no female 2.0000
Allison, Mr. Hudson Joshua Crei no male 30.0000
Allison, Mrs. Hudson J C (Bessi no female 25.0000
Anderson, Mr. Harry yes male 48.0000
Andrews, Miss. Kornelia Theodos yes female 63.0000
Andrews, Mr. Thomas Jr no male 39.0000
Appleton, Mrs. Edward Dale (Cha yes female 53.0000
Artagaveytia, Mr. Ramon no male 71.0000
Astor, Col. John Jacob no male 47.0000
Astor, Mrs. John Jacob (Madelei yes female 18.0000
Aubart, Mme. Leontine Pauline yes female 24.0000
Barber, Miss. Ellen Nellie yes female 26.0000
Barkworth, Mr. Algernon Henry W yes male 80.0000
Baumann, Mr. John D no male NA
Baxter, Mr. Quigg Edmond no male 24.0000
Baxter, Mrs. James (Helene DeLa yes female 50.0000
Bazzani, Miss. Albina yes female 32.0000
Beattie, Mr. Thomson no male 36.0000
Beckwith, Mr. Richard Leonard yes male 37.0000
Beckwith, Mrs. Richard Leonard yes female 47.0000
Behr, Mr. Karl Howell yes male 26.0000
Bidois, Miss. Rosalie yes female 42.0000
Bird, Miss. Ellen yes female 29.0000
Birnbaum, Mr. Jakob no male 25.0000
Bishop, Mr. Dickinson H yes male 25.0000
Bishop, Mrs. Dickinson H (Helen yes female 19.0000
Bissette, Miss. Amelia yes female 35.0000
Bjornstrom-Steffansson, Mr. Mau yes male 28.0000
Blackwell, Mr. Stephen Weart no male 45.0000
Blank, Mr. Henry yes male 40.0000
Bonnell, Miss. Caroline yes female 30.0000
Bonnell, Miss. Elizabeth yes female 58.0000
Borebank, Mr. John James no male 42.0000
Bowen, Miss. Grace Scott yes female 45.0000
Bowerman, Miss. Elsie Edith yes female 22.0000
Bradley, Mr. George (George Ar yes male NA
Brady, Mr. John Bertram no male 41.0000
Brandeis, Mr. Emil no male 48.0000
Brewe, Dr. Arthur Jackson no male NA
Brown, Mrs. James Joseph (Marga yes female 44.0000
Brown, Mrs. John Murray (Caroli yes female 59.0000
Bucknell, Mrs. William Robert ( yes female 60.0000
Burns, Miss. Elizabeth Margaret yes female 41.0000
Butt, Major. Archibald Willingh no male 45.0000
Cairns, Mr. Alexander no male NA
Calderhead, Mr. Edward Penningt yes male 42.0000
Candee, Mrs. Edward (Helen Chur yes female 53.0000
Cardeza, Mr. Thomas Drake Marti yes male 36.0000
Cardeza, Mrs. James Warburton M yes female 58.0000
Carlsson, Mr. Frans Olof no male 33.0000
Carrau, Mr. Francisco M no male 28.0000
Carrau, Mr. Jose Pedro no male 17.0000
Carter, Master. William Thornto yes male 11.0000
Carter, Miss. Lucile Polk yes female 14.0000
Carter, Mr. William Ernest yes male 36.0000
Carter, Mrs. William Ernest (Lu yes female 36.0000
Case, Mr. Howard Brown no male 49.0000
Cassebeer, Mrs. Henry Arthur Jr yes female NA
Cavendish, Mr. Tyrell William no male 36.0000
Cavendish, Mrs. Tyrell William yes female 76.0000
Chaffee, Mr. Herbert Fuller no male 46.0000
Chaffee, Mrs. Herbert Fuller (C yes female 47.0000
Chambers, Mr. Norman Campbell yes male 27.0000
Chambers, Mrs. Norman Campbell yes female 33.0000
Chaudanson, Miss. Victorine yes female 36.0000
Cherry, Miss. Gladys yes female 30.0000
Chevre, Mr. Paul Romaine yes male 45.0000
Chibnall, Mrs. (Edith Martha Bo yes female NA
Chisholm, Mr. Roderick Robert C no male NA
Clark, Mr. Walter Miller no male 27.0000
Clark, Mrs. Walter Miller (Virg yes female 26.0000
Cleaver, Miss. Alice yes female 22.0000
Clifford, Mr. George Quincy no male NA
Colley, Mr. Edward Pomeroy no male 47.0000
Compton, Miss. Sara Rebecca yes female 39.0000
Compton, Mr. Alexander Taylor J no male 37.0000
Compton, Mrs. Alexander Taylor yes female 64.0000
Cornell, Mrs. Robert Clifford ( yes female 55.0000
Crafton, Mr. John Bertram no male NA
Crosby, Capt. Edward Gifford no male 70.0000
Crosby, Miss. Harriet R yes female 36.0000
Crosby, Mrs. Edward Gifford (Ca yes female 64.0000
Cumings, Mr. John Bradley no male 39.0000
Cumings, Mrs. John Bradley (Flo yes female 38.0000
Daly, Mr. Peter Denis yes male 51.0000
Daniel, Mr. Robert Williams yes male 27.0000
Daniels, Miss. Sarah yes female 33.0000
Davidson, Mr. Thornton no male 31.0000
Davidson, Mrs. Thornton (Orian yes female 27.0000
Dick, Mr. Albert Adrian yes male 31.0000
Dick, Mrs. Albert Adrian (Vera yes female 17.0000
Dodge, Dr. Washington yes male 53.0000
Dodge, Master. Washington yes male 4.0000
Dodge, Mrs. Washington (Ruth Vi yes female 54.0000
Douglas, Mr. Walter Donald no male 50.0000
Douglas, Mrs. Frederick Charles yes female 27.0000
Douglas, Mrs. Walter Donald (Ma yes female 48.0000
Duff Gordon, Lady. (Lucille Chr yes female 48.0000
Duff Gordon, Sir. Cosmo Edmund yes male 49.0000
Dulles, Mr. William Crothers no male 39.0000
Earnshaw, Mrs. Boulton (Olive P yes female 23.0000
Endres, Miss. Caroline Louise yes female 38.0000
Eustis, Miss. Elizabeth Mussey yes female 54.0000
Evans, Miss. Edith Corse no female 36.0000
Farthing, Mr. John no male NA
Flegenheim, Mrs. Alfred (Antoin yes female NA
Fleming, Miss. Margaret yes female NA
Flynn, Mr. John Irwin (Irving yes male 36.0000
Foreman, Mr. Benjamin Laventall no male 30.0000
Fortune, Miss. Alice Elizabeth yes female 24.0000
Fortune, Miss. Ethel Flora yes female 28.0000
Fortune, Miss. Mabel Helen yes female 23.0000
Fortune, Mr. Charles Alexander no male 19.0000
Fortune, Mr. Mark no male 64.0000
Fortune, Mrs. Mark (Mary McDoug yes female 60.0000
Francatelli, Miss. Laura Mabel yes female 30.0000
Franklin, Mr. Thomas Parham no male NA
Frauenthal, Dr. Henry William yes male 50.0000
Frauenthal, Mr. Isaac Gerald yes male 43.0000
Frauenthal, Mrs. Henry William yes female NA
Frolicher, Miss. Hedwig Margari yes female 22.0000
Frolicher-Stehli, Mr. Maxmillia yes male 60.0000
Frolicher-Stehli, Mrs. Maxmilli yes female 48.0000
Fry, Mr. Richard no male NA
Futrelle, Mr. Jacques Heath no male 37.0000
Futrelle, Mrs. Jacques Heath (L yes female 35.0000
Gee, Mr. Arthur H no male 47.0000
Geiger, Miss. Amalie yes female 35.0000
Gibson, Miss. Dorothy Winifred yes female 22.0000
Gibson, Mrs. Leonard (Pauline C yes female 45.0000
Giglio, Mr. Victor no male 24.0000
Goldenberg, Mr. Samuel L yes male 49.0000
Goldenberg, Mrs. Samuel L (Edwi yes female NA
Goldschmidt, Mr. George B no male 71.0000
Gracie, Col. Archibald IV yes male 53.0000
Graham, Miss. Margaret Edith yes female 19.0000
Graham, Mr. George Edward no male 38.0000
Graham, Mrs. William Thompson ( yes female 58.0000
Greenfield, Mr. William Bertram yes male 23.0000
Greenfield, Mrs. Leo David (Bla yes female 45.0000
Guggenheim, Mr. Benjamin no male 46.0000
Harder, Mr. George Achilles yes male 25.0000
Harder, Mrs. George Achilles (D yes female 25.0000
Harper, Mr. Henry Sleeper yes male 48.0000
Harper, Mrs. Henry Sleeper (Myn yes female 49.0000
Harrington, Mr. Charles H no male NA
Harris, Mr. Henry Birkhardt no male 45.0000
Harris, Mrs. Henry Birkhardt (I yes female 35.0000
Harrison, Mr. William no male 40.0000
Hassab, Mr. Hammad yes male 27.0000
Hawksford, Mr. Walter James yes male NA
Hays, Miss. Margaret Bechstein yes female 24.0000
Hays, Mr. Charles Melville no male 55.0000
Hays, Mrs. Charles Melville (Cl yes female 52.0000
Head, Mr. Christopher no male 42.0000
Hilliard, Mr. Herbert Henry no male NA
Hipkins, Mr. William Edward no male 55.0000
Hippach, Miss. Jean Gertrude yes female 16.0000
Hippach, Mrs. Louis Albert (Ida yes female 44.0000
Hogeboom, Mrs. John C (Anna And yes female 51.0000
Holverson, Mr. Alexander Oskar no male 42.0000
Holverson, Mrs. Alexander Oskar yes female 35.0000
Homer, Mr. Harry (Mr E Haven) yes male 35.0000
Hoyt, Mr. Frederick Maxfield yes male 38.0000
Hoyt, Mr. William Fisher no male NA
Hoyt, Mrs. Frederick Maxfield ( yes female 35.0000
Icard, Miss. Amelie yes female 38.0000
Isham, Miss. Ann Elizabeth no female 50.0000
Ismay, Mr. Joseph Bruce yes male 49.0000
Jones, Mr. Charles Cresson no male 46.0000
Julian, Mr. Henry Forbes no male 50.0000
Keeping, Mr. Edwin no male 32.5000
Kent, Mr. Edward Austin no male 58.0000
Kenyon, Mr. Frederick R no male 41.0000
Kenyon, Mrs. Frederick R (Mario yes female NA
Kimball, Mr. Edwin Nelson Jr yes male 42.0000
Kimball, Mrs. Edwin Nelson Jr ( yes female 45.0000
Klaber, Mr. Herman no male NA
Kreuchen, Miss. Emilie yes female 39.0000
Leader, Dr. Alice (Farnham) yes female 49.0000
LeRoy, Miss. Bertha yes female 30.0000
Lesurer, Mr. Gustave J yes male 35.0000
Lewy, Mr. Ervin G no male NA
Lindeberg-Lind, Mr. Erik Gustaf no male 42.0000
Lindstrom, Mrs. Carl Johan (Sig yes female 55.0000
Lines, Miss. Mary Conover yes female 16.0000
Lines, Mrs. Ernest H (Elizabeth yes female 51.0000
Long, Mr. Milton Clyde no male 29.0000
Longley, Miss. Gretchen Fiske yes female 21.0000
Loring, Mr. Joseph Holland no male 30.0000
Lurette, Miss. Elise yes female 58.0000
Madill, Miss. Georgette Alexand yes female 15.0000
Maguire, Mr. John Edward no male 30.0000
Maioni, Miss. Roberta yes female 16.0000
Marechal, Mr. Pierre yes male NA
Marvin, Mr. Daniel Warner no male 19.0000
Marvin, Mrs. Daniel Warner (Mar yes female 18.0000
Mayne, Mlle. Berthe Antonine ( yes female 24.0000
McCaffry, Mr. Thomas Francis no male 46.0000
McCarthy, Mr. Timothy J no male 54.0000
McGough, Mr. James Robert yes male 36.0000
Meyer, Mr. Edgar Joseph no male 28.0000
Meyer, Mrs. Edgar Joseph (Leila yes female NA
Millet, Mr. Francis Davis no male 65.0000
Minahan, Dr. William Edward no male 44.0000
Minahan, Miss. Daisy E yes female 33.0000
Minahan, Mrs. William Edward (L yes female 37.0000
Mock, Mr. Philipp Edmund yes male 30.0000
Molson, Mr. Harry Markland no male 55.0000
Moore, Mr. Clarence Bloomfield no male 47.0000
Natsch, Mr. Charles H no male 37.0000
Newell, Miss. Madeleine yes female 31.0000
Newell, Miss. Marjorie yes female 23.0000
Newell, Mr. Arthur Webster no male 58.0000
Newsom, Miss. Helen Monypeny yes female 19.0000
Nicholson, Mr. Arthur Ernest no male 64.0000
Oliva y Ocana, Dona. Fermina yes female 39.0000
Omont, Mr. Alfred Fernand yes male NA
Ostby, Miss. Helene Ragnhild yes female 22.0000
Ostby, Mr. Engelhart Cornelius no male 65.0000
Ovies y Rodriguez, Mr. Servando no male 28.5000
Parr, Mr. William Henry Marsh no male NA
Partner, Mr. Austen no male 45.5000
Payne, Mr. Vivian Ponsonby no male 23.0000
Pears, Mr. Thomas Clinton no male 29.0000
Pears, Mrs. Thomas (Edith Wearn yes female 22.0000
Penasco y Castellana, Mr. Victo no male 18.0000
Penasco y Castellana, Mrs. Vict yes female 17.0000
Perreault, Miss. Anne yes female 30.0000
Peuchen, Major. Arthur Godfrey yes male 52.0000
Porter, Mr. Walter Chamberlain no male 47.0000
Potter, Mrs. Thomas Jr (Lily Al yes female 56.0000
Reuchlin, Jonkheer. John George no male 38.0000
Rheims, Mr. George Alexander Lu yes male NA
Ringhini, Mr. Sante no male 22.0000
Robbins, Mr. Victor no male NA
Robert, Mrs. Edward Scott (Elis yes female 43.0000
Roebling, Mr. Washington August no male 31.0000
Romaine, Mr. Charles Hallace ( yes male 45.0000
Rood, Mr. Hugh Roscoe no male NA
Rosenbaum, Miss. Edith Louise yes female 33.0000
Rosenshine, Mr. George (Mr Geo no male 46.0000
Ross, Mr. John Hugo no male 36.0000
Rothes, the Countess. of (Lucy yes female 33.0000
Rothschild, Mr. Martin no male 55.0000
Rothschild, Mrs. Martin (Elizab yes female 54.0000
Rowe, Mr. Alfred G no male 33.0000
Ryerson, Master. John Borie yes male 13.0000
Ryerson, Miss. Emily Borie yes female 18.0000
Ryerson, Miss. Susan Parker Su yes female 21.0000
Ryerson, Mr. Arthur Larned no male 61.0000
Ryerson, Mrs. Arthur Larned (Em yes female 48.0000
Saalfeld, Mr. Adolphe yes male NA
Sagesser, Mlle. Emma yes female 24.0000
Salomon, Mr. Abraham L yes male NA
Schabert, Mrs. Paul (Emma Mock) yes female 35.0000
Serepeca, Miss. Augusta yes female 30.0000
Seward, Mr. Frederic Kimber yes male 34.0000
Shutes, Miss. Elizabeth W yes female 40.0000
Silverthorne, Mr. Spencer Victo yes male 35.0000
Silvey, Mr. William Baird no male 50.0000
Silvey, Mrs. William Baird (Ali yes female 39.0000
Simonius-Blumer, Col. Oberst Al yes male 56.0000
Sloper, Mr. William Thompson yes male 28.0000
Smart, Mr. John Montgomery no male 56.0000
Smith, Mr. James Clinch no male 56.0000
Smith, Mr. Lucien Philip no male 24.0000
Smith, Mr. Richard William no male NA
Smith, Mrs. Lucien Philip (Mary yes female 18.0000
Snyder, Mr. John Pillsbury yes male 24.0000
Snyder, Mrs. John Pillsbury (Ne yes female 23.0000
Spedden, Master. Robert Douglas yes male 6.0000
Spedden, Mr. Frederic Oakley yes male 45.0000
Spedden, Mrs. Frederic Oakley ( yes female 40.0000
Spencer, Mr. William Augustus no male 57.0000
Spencer, Mrs. William Augustus yes female NA
Stahelin-Maeglin, Dr. Max yes male 32.0000
Stead, Mr. William Thomas no male 62.0000
Stengel, Mr. Charles Emil Henry yes male 54.0000
Stengel, Mrs. Charles Emil Henr yes female 43.0000
Stephenson, Mrs. Walter Bertram yes female 52.0000
Stewart, Mr. Albert A no male NA
Stone, Mrs. George Nelson (Mart yes female 62.0000
Straus, Mr. Isidor no male 67.0000
Straus, Mrs. Isidor (Rosalie Id no female 63.0000
Sutton, Mr. Frederick no male 61.0000
Swift, Mrs. Frederick Joel (Mar yes female 48.0000
Taussig, Miss. Ruth yes female 18.0000
Taussig, Mr. Emil no male 52.0000
Taussig, Mrs. Emil (Tillie Mand yes female 39.0000
Taylor, Mr. Elmer Zebley yes male 48.0000
Taylor, Mrs. Elmer Zebley (Juli yes female NA
Thayer, Mr. John Borland no male 49.0000
Thayer, Mr. John Borland Jr yes male 17.0000
Thayer, Mrs. John Borland (Mari yes female 39.0000
Thorne, Mrs. Gertrude Maybelle yes female NA
Tucker, Mr. Gilbert Milligan Jr yes male 31.0000
Uruchurtu, Don. Manuel E no male 40.0000
Van der hoef, Mr. Wyckoff no male 61.0000
Walker, Mr. William Anderson no male 47.0000
Ward, Miss. Anna yes female 35.0000
Warren, Mr. Frank Manley no male 64.0000
Warren, Mrs. Frank Manley (Anna yes female 60.0000
Weir, Col. John no male 60.0000
White, Mr. Percival Wayland no male 54.0000
White, Mr. Richard Frasar no male 21.0000
White, Mrs. John Stuart (Ella H yes female 55.0000
Wick, Miss. Mary Natalie yes female 31.0000
Wick, Mr. George Dennick no male 57.0000
Wick, Mrs. George Dennick (Mary yes female 45.0000
Widener, Mr. George Dunton no male 50.0000
Widener, Mr. Harry Elkins no male 27.0000
Widener, Mrs. George Dunton (El yes female 50.0000
Willard, Miss. Constance yes female 21.0000
Williams, Mr. Charles Duane no male 51.0000
Williams, Mr. Richard Norris II yes male 21.0000
Williams-Lambert, Mr. Fletcher no male NA
Wilson, Miss. Helen Alice yes female 31.0000
Woolner, Mr. Hugh yes male NA
Wright, Mr. George no male 62.0000
Young, Miss. Marie Grice yes female 36.0000
Abelson, Mr. Samuel no male 30.0000
Abelson, Mrs. Samuel (Hannah Wi yes female 28.0000
Aldworth, Mr. Charles Augustus no male 30.0000
Andrew, Mr. Edgardo Samuel no male 18.0000
Andrew, Mr. Frank Thomas no male 25.0000
Angle, Mr. William A no male 34.0000
Angle, Mrs. William A (Florence yes female 36.0000
Ashby, Mr. John no male 57.0000
Bailey, Mr. Percy Andrew no male 18.0000
Baimbrigge, Mr. Charles Robert no male 23.0000
Ball, Mrs. (Ada E Hall) yes female 36.0000
Banfield, Mr. Frederick James no male 28.0000
Bateman, Rev. Robert James no male 51.0000
Beane, Mr. Edward yes male 32.0000
Beane, Mrs. Edward (Ethel Clark yes female 19.0000
Beauchamp, Mr. Henry James no male 28.0000
Becker, Master. Richard F yes male 1.0000
Becker, Miss. Marion Louise yes female 4.0000
Becker, Miss. Ruth Elizabeth yes female 12.0000
Becker, Mrs. Allen Oliver (Nell yes female 36.0000
Beesley, Mr. Lawrence yes male 34.0000
Bentham, Miss. Lilian W yes female 19.0000
Berriman, Mr. William John no male 23.0000
Botsford, Mr. William Hull no male 26.0000
Bowenur, Mr. Solomon no male 42.0000
Bracken, Mr. James H no male 27.0000
Brown, Miss. Amelia Mildred yes female 24.0000
Brown, Miss. Edith Eileen yes female 15.0000
Brown, Mr. Thomas William Solom no male 60.0000
Brown, Mrs. Thomas William Solo yes female 40.0000
Bryhl, Miss. Dagmar Jenny Ingeb yes female 20.0000
Bryhl, Mr. Kurt Arnold Gottfrid no male 25.0000
Buss, Miss. Kate yes female 36.0000
Butler, Mr. Reginald Fenton no male 25.0000
Byles, Rev. Thomas Roussel Davi no male 42.0000
Bystrom, Mrs. (Karolina) yes female 42.0000
Caldwell, Master. Alden Gates yes male 0.8333
Caldwell, Mr. Albert Francis yes male 26.0000
Caldwell, Mrs. Albert Francis ( yes female 22.0000
Cameron, Miss. Clear Annie yes female 35.0000
Campbell, Mr. William no male NA
Carbines, Mr. William no male 19.0000
Carter, Mrs. Ernest Courtenay ( no female 44.0000
Carter, Rev. Ernest Courtenay no male 54.0000
Chapman, Mr. Charles Henry no male 52.0000
Chapman, Mr. John Henry no male 37.0000
Chapman, Mrs. John Henry (Sara no female 29.0000
Christy, Miss. Julie Rachel yes female 25.0000
Christy, Mrs. (Alice Frances) yes female 45.0000
Clarke, Mr. Charles Valentine no male 29.0000
Clarke, Mrs. Charles V (Ada Mar yes female 28.0000
Coleridge, Mr. Reginald Charles no male 29.0000
Collander, Mr. Erik Gustaf no male 28.0000
Collett, Mr. Sidney C Stuart yes male 24.0000
Collyer, Miss. Marjorie Lottie yes female 8.0000
Collyer, Mr. Harvey no male 31.0000
Collyer, Mrs. Harvey (Charlotte yes female 31.0000
Cook, Mrs. (Selena Rogers) yes female 22.0000
Corbett, Mrs. Walter H (Irene C no female 30.0000
Corey, Mrs. Percy C (Mary Phyll no female NA
Cotterill, Mr. Henry Harry no male 21.0000
Cunningham, Mr. Alfred Fleming no male NA
Davies, Master. John Morgan Jr yes male 8.0000
Davies, Mr. Charles Henry no male 18.0000
Davies, Mrs. John Morgan (Eliza yes female 48.0000
Davis, Miss. Mary yes female 28.0000
de Brito, Mr. Jose Joaquim no male 32.0000
Deacon, Mr. Percy William no male 17.0000
del Carlo, Mr. Sebastiano no male 29.0000
del Carlo, Mrs. Sebastiano (Arg yes female 24.0000
Denbury, Mr. Herbert no male 25.0000
Dibden, Mr. William no male 18.0000
Doling, Miss. Elsie yes female 18.0000
Doling, Mrs. John T (Ada Julia yes female 34.0000
Downton, Mr. William James no male 54.0000
Drew, Master. Marshall Brines yes male 8.0000
Drew, Mr. James Vivian no male 42.0000
Drew, Mrs. James Vivian (Lulu T yes female 34.0000
Duran y More, Miss. Asuncion yes female 27.0000
Duran y More, Miss. Florentina yes female 30.0000
Eitemiller, Mr. George Floyd no male 23.0000
Enander, Mr. Ingvar no male 21.0000
Fahlstrom, Mr. Arne Jonas no male 18.0000
Faunthorpe, Mr. Harry no male 40.0000
Faunthorpe, Mrs. Lizzie (Elizab yes female 29.0000
Fillbrook, Mr. Joseph Charles no male 18.0000
Fox, Mr. Stanley Hubert no male 36.0000
Frost, Mr. Anthony Wood Archie no male NA
Funk, Miss. Annie Clemmer no female 38.0000
Fynney, Mr. Joseph J no male 35.0000
Gale, Mr. Harry no male 38.0000
Gale, Mr. Shadrach no male 34.0000
Garside, Miss. Ethel yes female 34.0000
Gaskell, Mr. Alfred no male 16.0000
Gavey, Mr. Lawrence no male 26.0000
Gilbert, Mr. William no male 47.0000
Giles, Mr. Edgar no male 21.0000
Giles, Mr. Frederick Edward no male 21.0000
Giles, Mr. Ralph no male 24.0000
Gill, Mr. John William no male 24.0000
Gillespie, Mr. William Henry no male 34.0000
Givard, Mr. Hans Kristensen no male 30.0000
Greenberg, Mr. Samuel no male 52.0000
Hale, Mr. Reginald no male 30.0000
Hamalainen, Master. Viljo yes male 0.6667
Hamalainen, Mrs. William (Anna) yes female 24.0000
Harbeck, Mr. William H no male 44.0000
Harper, Miss. Annie Jessie Nin yes female 6.0000
Harper, Rev. John no male 28.0000
Harris, Mr. George yes male 62.0000
Harris, Mr. Walter no male 30.0000
Hart, Miss. Eva Miriam yes female 7.0000
Hart, Mr. Benjamin no male 43.0000
Hart, Mrs. Benjamin (Esther Ada yes female 45.0000
Herman, Miss. Alice yes female 24.0000
Herman, Miss. Kate yes female 24.0000
Herman, Mr. Samuel no male 49.0000
Herman, Mrs. Samuel (Jane Laver yes female 48.0000
Hewlett, Mrs. (Mary D Kingcome) yes female 55.0000
Hickman, Mr. Leonard Mark no male 24.0000
Hickman, Mr. Lewis no male 32.0000
Hickman, Mr. Stanley George no male 21.0000
Hiltunen, Miss. Marta no female 18.0000
Hocking, Miss. Ellen Nellie yes female 20.0000
Hocking, Mr. Richard George no male 23.0000
Hocking, Mr. Samuel James Metca no male 36.0000
Hocking, Mrs. Elizabeth (Eliza yes female 54.0000
Hodges, Mr. Henry Price no male 50.0000
Hold, Mr. Stephen no male 44.0000
Hold, Mrs. Stephen (Annie Marga yes female 29.0000
Hood, Mr. Ambrose Jr no male 21.0000
Hosono, Mr. Masabumi yes male 42.0000
Howard, Mr. Benjamin no male 63.0000
Howard, Mrs. Benjamin (Ellen Tr no female 60.0000
Hunt, Mr. George Henry no male 33.0000
Ilett, Miss. Bertha yes female 17.0000
Jacobsohn, Mr. Sidney Samuel no male 42.0000
Jacobsohn, Mrs. Sidney Samuel ( yes female 24.0000
Jarvis, Mr. John Denzil no male 47.0000
Jefferys, Mr. Clifford Thomas no male 24.0000
Jefferys, Mr. Ernest Wilfred no male 22.0000
Jenkin, Mr. Stephen Curnow no male 32.0000
Jerwan, Mrs. Amin S (Marie Mart yes female 23.0000
Kantor, Mr. Sinai no male 34.0000
Kantor, Mrs. Sinai (Miriam Ster yes female 24.0000
Karnes, Mrs. J Frank (Claire Be no female 22.0000
Keane, Miss. Nora A yes female NA
Keane, Mr. Daniel no male 35.0000
Kelly, Mrs. Florence Fannie yes female 45.0000
Kirkland, Rev. Charles Leonard no male 57.0000
Knight, Mr. Robert J no male NA
Kvillner, Mr. Johan Henrik Joha no male 31.0000
Lahtinen, Mrs. William (Anna Sy no female 26.0000
Lahtinen, Rev. William no male 30.0000
Lamb, Mr. John Joseph no male NA
Laroche, Miss. Louise yes female 1.0000
Laroche, Miss. Simonne Marie An yes female 3.0000
Laroche, Mr. Joseph Philippe Le no male 25.0000
Laroche, Mrs. Joseph (Juliette yes female 22.0000
Lehmann, Miss. Bertha yes female 17.0000
Leitch, Miss. Jessie Wills yes female NA
Lemore, Mrs. (Amelia Milley) yes female 34.0000
Levy, Mr. Rene Jacques no male 36.0000
Leyson, Mr. Robert William Norm no male 24.0000
Lingane, Mr. John no male 61.0000
Louch, Mr. Charles Alexander no male 50.0000
Louch, Mrs. Charles Alexander ( yes female 42.0000
Mack, Mrs. (Mary) no female 57.0000
Malachard, Mr. Noel no male NA
Mallet, Master. Andre yes male 1.0000
Mallet, Mr. Albert no male 31.0000
Mallet, Mrs. Albert (Antoinette yes female 24.0000
Mangiavacchi, Mr. Serafino Emil no male NA
Matthews, Mr. William John no male 30.0000
Maybery, Mr. Frank Hubert no male 40.0000
McCrae, Mr. Arthur Gordon no male 32.0000
McCrie, Mr. James Matthew no male 30.0000
McKane, Mr. Peter David no male 46.0000
Mellinger, Miss. Madeleine Viol yes female 13.0000
Mellinger, Mrs. (Elizabeth Anne yes female 41.0000
Mellors, Mr. William John yes male 19.0000
Meyer, Mr. August no male 39.0000
Milling, Mr. Jacob Christian no male 48.0000
Mitchell, Mr. Henry Michael no male 70.0000
Montvila, Rev. Juozas no male 27.0000
Moraweck, Dr. Ernest no male 54.0000
Morley, Mr. Henry Samuel (Mr H no male 39.0000
Mudd, Mr. Thomas Charles no male 16.0000
Myles, Mr. Thomas Francis no male 62.0000
Nasser, Mr. Nicholas no male 32.5000
Nasser, Mrs. Nicholas (Adele Ac yes female 14.0000
Navratil, Master. Edmond Roger yes male 2.0000
Navratil, Master. Michel M yes male 3.0000
Navratil, Mr. Michel (Louis M no male 36.5000
Nesson, Mr. Israel no male 26.0000
Nicholls, Mr. Joseph Charles no male 19.0000
Norman, Mr. Robert Douglas no male 28.0000
Nourney, Mr. Alfred (Baron von yes male 20.0000
Nye, Mrs. (Elizabeth Ramell) yes female 29.0000
Otter, Mr. Richard no male 39.0000
Oxenham, Mr. Percy Thomas yes male 22.0000
Padro y Manent, Mr. Julian yes male NA
Pain, Dr. Alfred no male 23.0000
Pallas y Castello, Mr. Emilio yes male 29.0000
Parker, Mr. Clifford Richard no male 28.0000
Parkes, Mr. Francis Frank no male NA
Parrish, Mrs. (Lutie Davis) yes female 50.0000
Pengelly, Mr. Frederick William no male 19.0000
Pernot, Mr. Rene no male NA
Peruschitz, Rev. Joseph Maria no male 41.0000
Phillips, Miss. Alice Frances L yes female 21.0000
Phillips, Miss. Kate Florence ( yes female 19.0000
Phillips, Mr. Escott Robert no male 43.0000
Pinsky, Mrs. (Rosa) yes female 32.0000
Ponesell, Mr. Martin no male 34.0000
Portaluppi, Mr. Emilio Ilario G yes male 30.0000
Pulbaum, Mr. Franz no male 27.0000
Quick, Miss. Phyllis May yes female 2.0000
Quick, Miss. Winifred Vera yes female 8.0000
Quick, Mrs. Frederick Charles ( yes female 33.0000
Reeves, Mr. David no male 36.0000
Renouf, Mr. Peter Henry no male 34.0000
Renouf, Mrs. Peter Henry (Lilli yes female 30.0000
Reynaldo, Ms. Encarnacion yes female 28.0000
Richard, Mr. Emile no male 23.0000
Richards, Master. George Sibley yes male 0.8333
Richards, Master. William Rowe yes male 3.0000
Richards, Mrs. Sidney (Emily Ho yes female 24.0000
Ridsdale, Miss. Lucy yes female 50.0000
Rogers, Mr. Reginald Harry no male 19.0000
Rugg, Miss. Emily yes female 21.0000
Schmidt, Mr. August no male 26.0000
Sedgwick, Mr. Charles Frederick no male 25.0000
Sharp, Mr. Percival James R no male 27.0000
Shelley, Mrs. William (Imanita yes female 25.0000
Silven, Miss. Lyyli Karoliina yes female 18.0000
Sincock, Miss. Maude yes female 20.0000
Sinkkonen, Miss. Anna yes female 30.0000
Sjostedt, Mr. Ernst Adolf no male 59.0000
Slayter, Miss. Hilda Mary yes female 30.0000
Slemen, Mr. Richard James no male 35.0000
Smith, Miss. Marion Elsie yes female 40.0000
Sobey, Mr. Samuel James Hayden no male 25.0000
Stanton, Mr. Samuel Ward no male 41.0000
Stokes, Mr. Philip Joseph no male 25.0000
Swane, Mr. George no male 18.5000
Sweet, Mr. George Frederick no male 14.0000
Toomey, Miss. Ellen yes female 50.0000
Troupiansky, Mr. Moses Aaron no male 23.0000
Trout, Mrs. William H (Jessie L yes female 28.0000
Troutt, Miss. Edwina Celia Win yes female 27.0000
Turpin, Mr. William John Robert no male 29.0000
Turpin, Mrs. William John Rober no female 27.0000
Veal, Mr. James no male 40.0000
Walcroft, Miss. Nellie yes female 31.0000
Ware, Mr. John James no male 30.0000
Ware, Mr. William Jeffery no male 23.0000
Ware, Mrs. John James (Florence yes female 31.0000
Watson, Mr. Ennis Hastings no male NA
Watt, Miss. Bertha J yes female 12.0000
Watt, Mrs. James (Elizabeth Be yes female 40.0000
Webber, Miss. Susan yes female 32.5000
Weisz, Mr. Leopold no male 27.0000
Weisz, Mrs. Leopold (Mathilde F yes female 29.0000
Wells, Master. Ralph Lester yes male 2.0000
Wells, Miss. Joan yes female 4.0000
Wells, Mrs. Arthur Henry (Addi yes female 29.0000
West, Miss. Barbara J yes female 0.9167
West, Miss. Constance Mirium yes female 5.0000
West, Mr. Edwy Arthur no male 36.0000
West, Mrs. Edwy Arthur (Ada Mar yes female 33.0000
Wheadon, Mr. Edward H no male 66.0000
Wheeler, Mr. Edwin Frederick no male NA
Wilhelms, Mr. Charles yes male 31.0000
Williams, Mr. Charles Eugene yes male NA
Wright, Miss. Marion yes female 26.0000
Yrois, Miss. Henriette (Mrs Ha no female 24.0000
Abbing, Mr. Anthony no male 42.0000
Abbott, Master. Eugene Joseph no male 13.0000
Abbott, Mr. Rossmore Edward no male 16.0000
Abbott, Mrs. Stanton (Rosa Hunt yes female 35.0000
Abelseth, Miss. Karen Marie yes female 16.0000
Abelseth, Mr. Olaus Jorgensen yes male 25.0000
Abrahamsson, Mr. Abraham August yes male 20.0000
Abrahim, Mrs. Joseph (Sophie Ha yes female 18.0000
Adahl, Mr. Mauritz Nils Martin no male 30.0000
Adams, Mr. John no male 26.0000
Ahlin, Mrs. Johan (Johanna Pers no female 40.0000
Aks, Master. Philip Frank yes male 0.8333
Aks, Mrs. Sam (Leah Rosen) yes female 18.0000
Albimona, Mr. Nassef Cassem yes male 26.0000
Alexander, Mr. William no male 26.0000
Alhomaki, Mr. Ilmari Rudolf no male 20.0000
Ali, Mr. Ahmed no male 24.0000
Ali, Mr. William no male 25.0000
Allen, Mr. William Henry no male 35.0000
Allum, Mr. Owen George no male 18.0000
Andersen, Mr. Albert Karvin no male 32.0000
Andersen-Jensen, Miss. Carla Ch yes female 19.0000
Andersson, Master. Sigvard Hara no male 4.0000
Andersson, Miss. Ebba Iris Alfr no female 6.0000
Andersson, Miss. Ellis Anna Mar no female 2.0000
Andersson, Miss. Erna Alexandra yes female 17.0000
Andersson, Miss. Ida Augusta Ma no female 38.0000
Andersson, Miss. Ingeborg Const no female 9.0000
Andersson, Miss. Sigrid Elisabe no female 11.0000
Andersson, Mr. Anders Johan no male 39.0000
Andersson, Mr. August Edvard ( yes male 27.0000
Andersson, Mr. Johan Samuel no male 26.0000
Andersson, Mrs. Anders Johan (A no female 39.0000
Andreasson, Mr. Paul Edvin no male 20.0000
Angheloff, Mr. Minko no male 26.0000
Arnold-Franchi, Mr. Josef no male 25.0000
Arnold-Franchi, Mrs. Josef (Jos no female 18.0000
Aronsson, Mr. Ernst Axel Algot no male 24.0000
Asim, Mr. Adola no male 35.0000
Asplund, Master. Carl Edgar no male 5.0000
Asplund, Master. Clarence Gusta no male 9.0000
Asplund, Master. Edvin Rojj Fel yes male 3.0000
Asplund, Master. Filip Oscar no male 13.0000
Asplund, Miss. Lillian Gertrud yes female 5.0000
Asplund, Mr. Carl Oscar Vilhelm no male 40.0000
Asplund, Mr. Johan Charles yes male 23.0000
Asplund, Mrs. Carl Oscar (Selma yes female 38.0000
Assaf Khalil, Mrs. Mariana (Mi yes female 45.0000
Assaf, Mr. Gerios no male 21.0000
Assam, Mr. Ali no male 23.0000
Attalah, Miss. Malake no female 17.0000
Attalah, Mr. Sleiman no male 30.0000
Augustsson, Mr. Albert no male 23.0000
Ayoub, Miss. Banoura yes female 13.0000
Baccos, Mr. Raffull no male 20.0000
Backstrom, Mr. Karl Alfred no male 32.0000
Backstrom, Mrs. Karl Alfred (Ma yes female 33.0000
Baclini, Miss. Eugenie yes female 0.7500
Baclini, Miss. Helene Barbara yes female 0.7500
Baclini, Miss. Marie Catherine yes female 5.0000
Baclini, Mrs. Solomon (Latifa Q yes female 24.0000
Badman, Miss. Emily Louisa yes female 18.0000
Badt, Mr. Mohamed no male 40.0000
Balkic, Mr. Cerin no male 26.0000
Barah, Mr. Hanna Assi yes male 20.0000
Barbara, Miss. Saiide no female 18.0000
Barbara, Mrs. (Catherine David) no female 45.0000
Barry, Miss. Julia no female 27.0000
Barton, Mr. David John no male 22.0000
Beavan, Mr. William Thomas no male 19.0000
Bengtsson, Mr. John Viktor no male 26.0000
Berglund, Mr. Karl Ivar Sven no male 22.0000
Betros, Master. Seman no male NA
Betros, Mr. Tannous no male 20.0000
Bing, Mr. Lee yes male 32.0000
Birkeland, Mr. Hans Martin Mons no male 21.0000
Bjorklund, Mr. Ernst Herbert no male 18.0000
Bostandyeff, Mr. Guentcho no male 26.0000
Boulos, Master. Akar no male 6.0000
Boulos, Miss. Nourelain no female 9.0000
Boulos, Mr. Hanna no male NA
Boulos, Mrs. Joseph (Sultana) no female NA
Bourke, Miss. Mary no female NA
Bourke, Mr. John no male 40.0000
Bourke, Mrs. John (Catherine) no female 32.0000
Bowen, Mr. David John Dai no male 21.0000
Bradley, Miss. Bridget Delia yes female 22.0000
Braf, Miss. Elin Ester Maria no female 20.0000
Braund, Mr. Lewis Richard no male 29.0000
Braund, Mr. Owen Harris no male 22.0000
Brobeck, Mr. Karl Rudolf no male 22.0000
Brocklebank, Mr. William Alfred no male 35.0000
Buckley, Miss. Katherine no female 18.5000
Buckley, Mr. Daniel yes male 21.0000
Burke, Mr. Jeremiah no male 19.0000
Burns, Miss. Mary Delia no female 18.0000
Cacic, Miss. Manda no female 21.0000
Cacic, Miss. Marija no female 30.0000
Cacic, Mr. Jego Grga no male 18.0000
Cacic, Mr. Luka no male 38.0000
Calic, Mr. Jovo no male 17.0000
Calic, Mr. Petar no male 17.0000
Canavan, Miss. Mary no female 21.0000
Canavan, Mr. Patrick no male 21.0000
Cann, Mr. Ernest Charles no male 21.0000
Caram, Mr. Joseph no male NA
Caram, Mrs. Joseph (Maria Elias no female NA
Carlsson, Mr. August Sigfrid no male 28.0000
Carlsson, Mr. Carl Robert no male 24.0000
Carr, Miss. Helen Ellen yes female 16.0000
Carr, Miss. Jeannie no female 37.0000
Carver, Mr. Alfred John no male 28.0000
Celotti, Mr. Francesco no male 24.0000
Charters, Mr. David no male 21.0000
Chip, Mr. Chang yes male 32.0000
Christmann, Mr. Emil no male 29.0000
Chronopoulos, Mr. Apostolos no male 26.0000
Chronopoulos, Mr. Demetrios no male 18.0000
Coelho, Mr. Domingos Fernandeo no male 20.0000
Cohen, Mr. Gurshon Gus yes male 18.0000
Colbert, Mr. Patrick no male 24.0000
Coleff, Mr. Peju no male 36.0000
Coleff, Mr. Satio no male 24.0000
Conlon, Mr. Thomas Henry no male 31.0000
Connaghton, Mr. Michael no male 31.0000
Connolly, Miss. Kate (A) yes female 22.0000
Connolly, Miss. Kate (B) no female 30.0000
Connors, Mr. Patrick no male 70.5000
Cook, Mr. Jacob no male 43.0000
Cor, Mr. Bartol no male 35.0000
Cor, Mr. Ivan no male 27.0000
Cor, Mr. Liudevit no male 19.0000
Corn, Mr. Harry no male 30.0000
Coutts, Master. Eden Leslie Ne yes male 9.0000
Coutts, Master. William Loch W yes male 3.0000
Coutts, Mrs. William (Winnie M yes female 36.0000
Coxon, Mr. Daniel no male 59.0000
Crease, Mr. Ernest James no male 19.0000
Cribb, Miss. Laura Alice yes female 17.0000
Cribb, Mr. John Hatfield no male 44.0000
Culumovic, Mr. Jeso no male 17.0000
Daher, Mr. Shedid no male 22.5000
Dahl, Mr. Karl Edwart yes male 45.0000
Dahlberg, Miss. Gerda Ulrika no female 22.0000
Dakic, Mr. Branko no male 19.0000
Daly, Miss. Margaret Marcella yes female 30.0000
Daly, Mr. Eugene Patrick yes male 29.0000
Danbom, Master. Gilbert Sigvard no male 0.3333
Danbom, Mr. Ernst Gilbert no male 34.0000
Danbom, Mrs. Ernst Gilbert (Ann no female 28.0000
Danoff, Mr. Yoto no male 27.0000
Dantcheff, Mr. Ristiu no male 25.0000
Davies, Mr. Alfred J no male 24.0000
Davies, Mr. Evan no male 22.0000
Davies, Mr. John Samuel no male 21.0000
Davies, Mr. Joseph no male 17.0000
Davison, Mr. Thomas Henry no male NA
Davison, Mrs. Thomas Henry (Mar yes female NA
de Messemaeker, Mr. Guillaume J yes male 36.5000
de Messemaeker, Mrs. Guillaume yes female 36.0000
de Mulder, Mr. Theodore yes male 30.0000
de Pelsmaeker, Mr. Alfons no male 16.0000
Dean, Master. Bertram Vere yes male 1.0000
Dean, Miss. Elizabeth Gladys M yes female 0.1667
Dean, Mr. Bertram Frank no male 26.0000
Dean, Mrs. Bertram (Eva Georget yes female 33.0000
Delalic, Mr. Redjo no male 25.0000
Demetri, Mr. Marinko no male NA
Denkoff, Mr. Mitto no male NA
Dennis, Mr. Samuel no male 22.0000
Dennis, Mr. William no male 36.0000
Devaney, Miss. Margaret Delia yes female 19.0000
Dika, Mr. Mirko no male 17.0000
Dimic, Mr. Jovan no male 42.0000
Dintcheff, Mr. Valtcho no male 43.0000
Doharr, Mr. Tannous no male NA
Dooley, Mr. Patrick no male 32.0000
Dorking, Mr. Edward Arthur yes male 19.0000
Dowdell, Miss. Elizabeth yes female 30.0000
Doyle, Miss. Elizabeth no female 24.0000
Drapkin, Miss. Jennie yes female 23.0000
Drazenoic, Mr. Jozef no male 33.0000
Duane, Mr. Frank no male 65.0000
Duquemin, Mr. Joseph yes male 24.0000
Dyker, Mr. Adolf Fredrik no male 23.0000
Dyker, Mrs. Adolf Fredrik (Anna yes female 22.0000
Edvardsson, Mr. Gustaf Hjalmar no male 18.0000
Eklund, Mr. Hans Linus no male 16.0000
Ekstrom, Mr. Johan no male 45.0000
Elias, Mr. Dibo no male NA
Elias, Mr. Joseph no male 39.0000
Elias, Mr. Joseph Jr no male 17.0000
Elias, Mr. Tannous no male 15.0000
Elsbury, Mr. William James no male 47.0000
Emanuel, Miss. Virginia Ethel yes female 5.0000
Emir, Mr. Farred Chehab no male NA
Everett, Mr. Thomas James no male 40.5000
Farrell, Mr. James no male 40.5000
Finoli, Mr. Luigi yes male NA
Fischer, Mr. Eberhard Thelander no male 18.0000
Fleming, Miss. Honora no female NA
Flynn, Mr. James no male NA
Flynn, Mr. John no male NA
Foley, Mr. Joseph no male 26.0000
Foley, Mr. William no male NA
Foo, Mr. Choong yes male NA
Ford, Miss. Doolina Margaret D no female 21.0000
Ford, Miss. Robina Maggie Ruby no female 9.0000
Ford, Mr. Arthur no male NA
Ford, Mr. Edward Watson no male 18.0000
Ford, Mr. William Neal no male 16.0000
Ford, Mrs. Edward (Margaret Ann no female 48.0000
Fox, Mr. Patrick no male NA
Franklin, Mr. Charles (Charles no male NA
Gallagher, Mr. Martin no male 25.0000
Garfirth, Mr. John no male NA
Gheorgheff, Mr. Stanio no male NA
Gilinski, Mr. Eliezer no male 22.0000
Gilnagh, Miss. Katherine Katie yes female 16.0000
Glynn, Miss. Mary Agatha yes female NA
Goldsmith, Master. Frank John W yes male 9.0000
Goldsmith, Mr. Frank John no male 33.0000
Goldsmith, Mr. Nathan no male 41.0000
Goldsmith, Mrs. Frank John (Emi yes female 31.0000
Goncalves, Mr. Manuel Estanslas no male 38.0000
Goodwin, Master. Harold Victor no male 9.0000
Goodwin, Master. Sidney Leonard no male 1.0000
Goodwin, Master. William Freder no male 11.0000
Goodwin, Miss. Jessie Allis no female 10.0000
Goodwin, Miss. Lillian Amy no female 16.0000
Goodwin, Mr. Charles Edward no male 14.0000
Goodwin, Mr. Charles Frederick no male 40.0000
Goodwin, Mrs. Frederick (August no female 43.0000
Green, Mr. George Henry no male 51.0000
Gronnestad, Mr. Daniel Danielse no male 32.0000
Guest, Mr. Robert no male NA
Gustafsson, Mr. Alfred Ossian no male 20.0000
Gustafsson, Mr. Anders Vilhelm no male 37.0000
Gustafsson, Mr. Johan Birger no male 28.0000
Gustafsson, Mr. Karl Gideon no male 19.0000
Haas, Miss. Aloisia no female 24.0000
Hagardon, Miss. Kate no female 17.0000
Hagland, Mr. Ingvald Olai Olsen no male NA
Hagland, Mr. Konrad Mathias Rei no male NA
Hakkarainen, Mr. Pekka Pietari no male 28.0000
Hakkarainen, Mrs. Pekka Pietari yes female 24.0000
Hampe, Mr. Leon no male 20.0000
Hanna, Mr. Mansour no male 23.5000
Hansen, Mr. Claus Peter no male 41.0000
Hansen, Mr. Henrik Juul no male 26.0000
Hansen, Mr. Henry Damsgaard no male 21.0000
Hansen, Mrs. Claus Peter (Jenni yes female 45.0000
Harknett, Miss. Alice Phoebe no female NA
Harmer, Mr. Abraham (David Lish no male 25.0000
Hart, Mr. Henry no male NA
Hassan, Mr. Houssein G N no male 11.0000
Healy, Miss. Hanora Nora yes female NA
Hedman, Mr. Oskar Arvid yes male 27.0000
Hee, Mr. Ling yes male NA
Hegarty, Miss. Hanora Nora no female 18.0000
Heikkinen, Miss. Laina yes female 26.0000
Heininen, Miss. Wendla Maria no female 23.0000
Hellstrom, Miss. Hilda Maria yes female 22.0000
Hendekovic, Mr. Ignjac no male 28.0000
Henriksson, Miss. Jenny Lovisa no female 28.0000
Henry, Miss. Delia no female NA
Hirvonen, Miss. Hildur E yes female 2.0000
Hirvonen, Mrs. Alexander (Helga yes female 22.0000
Holm, Mr. John Fredrik Alexande no male 43.0000
Holthen, Mr. Johan Martin no male 28.0000
Honkanen, Miss. Eliina yes female 27.0000
Horgan, Mr. John no male NA
Howard, Miss. May Elizabeth yes female NA
Humblen, Mr. Adolf Mathias Nico no male 42.0000
Hyman, Mr. Abraham yes male NA
Ibrahim Shawah, Mr. Yousseff no male 30.0000
Ilieff, Mr. Ylio no male NA
Ilmakangas, Miss. Ida Livija no female 27.0000
Ilmakangas, Miss. Pieta Sofia no female 25.0000
Ivanoff, Mr. Kanio no male NA
Jalsevac, Mr. Ivan yes male 29.0000
Jansson, Mr. Carl Olof yes male 21.0000
Jardin, Mr. Jose Neto no male NA
Jensen, Mr. Hans Peder no male 20.0000
Jensen, Mr. Niels Peder no male 48.0000
Jensen, Mr. Svend Lauritz no male 17.0000
Jermyn, Miss. Annie yes female NA
Johannesen-Bratthammer, Mr. Ber yes male NA
Johanson, Mr. Jakob Alfred no male 34.0000
Johansson Palmquist, Mr. Oskar yes male 26.0000
Johansson, Mr. Erik no male 22.0000
Johansson, Mr. Gustaf Joel no male 33.0000
Johansson, Mr. Karl Johan no male 31.0000
Johansson, Mr. Nils no male 29.0000
Johnson, Master. Harold Theodor yes male 4.0000
Johnson, Miss. Eleanor Ileen yes female 1.0000
Johnson, Mr. Alfred no male 49.0000
Johnson, Mr. Malkolm Joackim no male 33.0000
Johnson, Mr. William Cahoone Jr no male 19.0000
Johnson, Mrs. Oscar W (Elisabet yes female 27.0000
Johnston, Master. William Arthu no male NA
Johnston, Miss. Catherine Helen no female NA
Johnston, Mr. Andrew G no male NA
Johnston, Mrs. Andrew G (Elizab no female NA
Jonkoff, Mr. Lalio no male 23.0000
Jonsson, Mr. Carl yes male 32.0000
Jonsson, Mr. Nils Hilding no male 27.0000
Jussila, Miss. Katriina no female 20.0000
Jussila, Miss. Mari Aina no female 21.0000
Jussila, Mr. Eiriik yes male 32.0000
Kallio, Mr. Nikolai Erland no male 17.0000
Kalvik, Mr. Johannes Halvorsen no male 21.0000
Karaic, Mr. Milan no male 30.0000
Karlsson, Mr. Einar Gervasius yes male 21.0000
Karlsson, Mr. Julius Konrad Eug no male 33.0000
Karlsson, Mr. Nils August no male 22.0000
Karun, Miss. Manca yes female 4.0000
Karun, Mr. Franz yes male 39.0000
Kassem, Mr. Fared no male NA
Katavelas, Mr. Vassilios (Cata no male 18.5000
Keane, Mr. Andrew Andy no male NA
Keefe, Mr. Arthur no male NA
Kelly, Miss. Anna Katherine An yes female NA
Kelly, Miss. Mary yes female NA
Kelly, Mr. James (A) no male 34.5000
Kelly, Mr. James (B) no male 44.0000
Kennedy, Mr. John yes male NA
Khalil, Mr. Betros no male NA
Khalil, Mrs. Betros (Zahie Mar no female NA
Kiernan, Mr. John no male NA
Kiernan, Mr. Philip no male NA
Kilgannon, Mr. Thomas J no male NA
Kink, Miss. Maria no female 22.0000
Kink, Mr. Vincenz no male 26.0000
Kink-Heilmann, Miss. Luise Gret yes female 4.0000
Kink-Heilmann, Mr. Anton yes male 29.0000
Kink-Heilmann, Mrs. Anton (Luis yes female 26.0000
Klasen, Miss. Gertrud Emilia no female 1.0000
Klasen, Mr. Klas Albin no male 18.0000
Klasen, Mrs. (Hulda Kristina Eu no female 36.0000
Kraeff, Mr. Theodor no male NA
Krekorian, Mr. Neshan yes male 25.0000
Lahoud, Mr. Sarkis no male NA
Laitinen, Miss. Kristina Sofia no female 37.0000
Laleff, Mr. Kristo no male NA
Lam, Mr. Ali yes male NA
Lam, Mr. Len no male NA
Landergren, Miss. Aurora Adelia yes female 22.0000
Lane, Mr. Patrick no male NA
Lang, Mr. Fang yes male 26.0000
Larsson, Mr. August Viktor no male 29.0000
Larsson, Mr. Bengt Edvin no male 29.0000
Larsson-Rondberg, Mr. Edvard A no male 22.0000
Leeni, Mr. Fahim (Philip Zenni yes male 22.0000
Lefebre, Master. Henry Forbes no male NA
Lefebre, Miss. Ida no female NA
Lefebre, Miss. Jeannie no female NA
Lefebre, Miss. Mathilde no female NA
Lefebre, Mrs. Frank (Frances) no female NA
Leinonen, Mr. Antti Gustaf no male 32.0000
Lemberopolous, Mr. Peter L no male 34.5000
Lennon, Miss. Mary no female NA
Lennon, Mr. Denis no male NA
Leonard, Mr. Lionel no male 36.0000
Lester, Mr. James no male 39.0000
Lievens, Mr. Rene Aime no male 24.0000
Lindahl, Miss. Agda Thorilda Vi no female 25.0000
Lindblom, Miss. Augusta Charlot no female 45.0000
Lindell, Mr. Edvard Bengtsson no male 36.0000
Lindell, Mrs. Edvard Bengtsson no female 30.0000
Lindqvist, Mr. Eino William yes male 20.0000
Linehan, Mr. Michael no male NA
Ling, Mr. Lee no male 28.0000
Lithman, Mr. Simon no male NA
Lobb, Mr. William Arthur no male 30.0000
Lobb, Mrs. William Arthur (Cord no female 26.0000
Lockyer, Mr. Edward no male NA
Lovell, Mr. John Hall (Henry) no male 20.5000
Lulic, Mr. Nikola yes male 27.0000
Lundahl, Mr. Johan Svensson no male 51.0000
Lundin, Miss. Olga Elida yes female 23.0000
Lundstrom, Mr. Thure Edvin yes male 32.0000
Lyntakoff, Mr. Stanko no male NA
MacKay, Mr. George William no male NA
Madigan, Miss. Margaret Maggie yes female NA
Madsen, Mr. Fridtjof Arne yes male 24.0000
Maenpaa, Mr. Matti Alexanteri no male 22.0000
Mahon, Miss. Bridget Delia no female NA
Mahon, Mr. John no male NA
Maisner, Mr. Simon no male NA
Makinen, Mr. Kalle Edvard no male 29.0000
Mamee, Mr. Hanna yes male NA
Mangan, Miss. Mary no female 30.5000
Mannion, Miss. Margareth yes female NA
Mardirosian, Mr. Sarkis no male NA
Markoff, Mr. Marin no male 35.0000
Markun, Mr. Johann no male 33.0000
Masselmani, Mrs. Fatima yes female NA
Matinoff, Mr. Nicola no male NA
McCarthy, Miss. Catherine Kati yes female NA
McCormack, Mr. Thomas Joseph yes male NA
McCoy, Miss. Agnes yes female NA
McCoy, Miss. Alicia yes female NA
McCoy, Mr. Bernard yes male NA
McDermott, Miss. Brigdet Delia yes female NA
McEvoy, Mr. Michael no male NA
McGovern, Miss. Mary yes female NA
McGowan, Miss. Anna Annie yes female 15.0000
McGowan, Miss. Katherine no female 35.0000
McMahon, Mr. Martin no male NA
McNamee, Mr. Neal no male 24.0000
McNamee, Mrs. Neal (Eileen O'Le no female 19.0000
McNeill, Miss. Bridget no female NA
Meanwell, Miss. (Marion Ogden) no female NA
Meek, Mrs. Thomas (Annie Louise no female NA
Meo, Mr. Alfonzo no male 55.5000
Mernagh, Mr. Robert no male NA
Midtsjo, Mr. Karl Albert yes male 21.0000
Miles, Mr. Frank no male NA
Mineff, Mr. Ivan no male 24.0000
Minkoff, Mr. Lazar no male 21.0000
Mionoff, Mr. Stoytcho no male 28.0000
Mitkoff, Mr. Mito no male NA
Mockler, Miss. Helen Mary Elli yes female NA
Moen, Mr. Sigurd Hansen no male 25.0000
Moor, Master. Meier yes male 6.0000
Moor, Mrs. (Beila) yes female 27.0000
Moore, Mr. Leonard Charles no male NA
Moran, Miss. Bertha yes female NA
Moran, Mr. Daniel J no male NA
Moran, Mr. James no male NA
Morley, Mr. William no male 34.0000
Morrow, Mr. Thomas Rowan no male NA
Moss, Mr. Albert Johan yes male NA
Moubarek, Master. Gerios yes male NA
Moubarek, Master. Halim Gonios yes male NA
Moubarek, Mrs. George (Omine A yes female NA
Moussa, Mrs. (Mantoura Boulos) yes female NA
Moutal, Mr. Rahamin Haim no male NA
Mullens, Miss. Katherine Katie yes female NA
Mulvihill, Miss. Bertha E yes female 24.0000
Murdlin, Mr. Joseph no male NA
Murphy, Miss. Katherine Kate yes female NA
Murphy, Miss. Margaret Jane yes female NA
Murphy, Miss. Nora yes female NA
Myhrman, Mr. Pehr Fabian Oliver no male 18.0000
Naidenoff, Mr. Penko no male 22.0000
Najib, Miss. Adele Kiamie Jane yes female 15.0000
Nakid, Miss. Maria (Mary) yes female 1.0000
Nakid, Mr. Sahid yes male 20.0000
Nakid, Mrs. Said (Waika Mary yes female 19.0000
Nancarrow, Mr. William Henry no male 33.0000
Nankoff, Mr. Minko no male NA
Nasr, Mr. Mustafa no male NA
Naughton, Miss. Hannah no female NA
Nenkoff, Mr. Christo no male NA
Nicola-Yarred, Master. Elias yes male 12.0000
Nicola-Yarred, Miss. Jamila yes female 14.0000
Nieminen, Miss. Manta Josefina no female 29.0000
Niklasson, Mr. Samuel no male 28.0000
Nilsson, Miss. Berta Olivia yes female 18.0000
Nilsson, Miss. Helmina Josefina yes female 26.0000
Nilsson, Mr. August Ferdinand no male 21.0000
Nirva, Mr. Iisakki Antino Aijo no male 41.0000
Niskanen, Mr. Juha yes male 39.0000
Nosworthy, Mr. Richard Cater no male 21.0000
Novel, Mr. Mansouer no male 28.5000
Nysten, Miss. Anna Sofia yes female 22.0000
Nysveen, Mr. Johan Hansen no male 61.0000
O'Brien, Mr. Thomas no male NA
O'Brien, Mr. Timothy no male NA
O'Brien, Mrs. Thomas (Johanna yes female NA
O'Connell, Mr. Patrick D no male NA
O'Connor, Mr. Maurice no male NA
O'Connor, Mr. Patrick no male NA
Odahl, Mr. Nils Martin no male 23.0000
O'Donoghue, Ms. Bridget no female NA
O'Driscoll, Miss. Bridget yes female NA
O'Dwyer, Miss. Ellen Nellie yes female NA
Ohman, Miss. Velin yes female 22.0000
O'Keefe, Mr. Patrick yes male NA
O'Leary, Miss. Hanora Norah yes female NA
Olsen, Master. Artur Karl yes male 9.0000
Olsen, Mr. Henry Margido no male 28.0000
Olsen, Mr. Karl Siegwart Andrea no male 42.0000
Olsen, Mr. Ole Martin no male NA
Olsson, Miss. Elina no female 31.0000
Olsson, Mr. Nils Johan Goransso no male 28.0000
Olsson, Mr. Oscar Wilhelm yes male 32.0000
Olsvigen, Mr. Thor Anderson no male 20.0000
Oreskovic, Miss. Jelka no female 23.0000
Oreskovic, Miss. Marija no female 20.0000
Oreskovic, Mr. Luka no male 20.0000
Osen, Mr. Olaf Elon no male 16.0000
Osman, Mrs. Mara yes female 31.0000
O'Sullivan, Miss. Bridget Mary no female NA
Palsson, Master. Gosta Leonard no male 2.0000
Palsson, Master. Paul Folke no male 6.0000
Palsson, Miss. Stina Viola no female 3.0000
Palsson, Miss. Torborg Danira no female 8.0000
Palsson, Mrs. Nils (Alma Cornel no female 29.0000
Panula, Master. Eino Viljami no male 1.0000
Panula, Master. Juha Niilo no male 7.0000
Panula, Master. Urho Abraham no male 2.0000
Panula, Mr. Ernesti Arvid no male 16.0000
Panula, Mr. Jaako Arnold no male 14.0000
Panula, Mrs. Juha (Maria Emilia no female 41.0000
Pasic, Mr. Jakob no male 21.0000
Patchett, Mr. George no male 19.0000
Paulner, Mr. Uscher no male NA
Pavlovic, Mr. Stefo no male 32.0000
Peacock, Master. Alfred Edward no male 0.7500
Peacock, Miss. Treasteall no female 3.0000
Peacock, Mrs. Benjamin (Edith N no female 26.0000
Pearce, Mr. Ernest no male NA
Pedersen, Mr. Olaf no male NA
Peduzzi, Mr. Joseph no male NA
Pekoniemi, Mr. Edvard no male 21.0000
Peltomaki, Mr. Nikolai Johannes no male 25.0000
Perkin, Mr. John Henry no male 22.0000
Persson, Mr. Ernst Ulrik yes male 25.0000
Peter, Master. Michael J yes male NA
Peter, Miss. Anna yes female NA
Peter, Mrs. Catherine (Catherin yes female NA
Peters, Miss. Katie no female NA
Petersen, Mr. Marius no male 24.0000
Petranec, Miss. Matilda no female 28.0000
Petroff, Mr. Nedelio no male 19.0000
Petroff, Mr. Pastcho (Pentcho no male NA
Petterson, Mr. Johan Emil no male 25.0000
Pettersson, Miss. Ellen Natalia no female 18.0000
Pickard, Mr. Berk (Berk Trembis yes male 32.0000
Plotcharsky, Mr. Vasil no male NA
Pokrnic, Mr. Mate no male 17.0000
Pokrnic, Mr. Tome no male 24.0000
Radeff, Mr. Alexander no male NA
Rasmussen, Mrs. (Lena Jacobsen no female NA
Razi, Mr. Raihed no male NA
Reed, Mr. James George no male NA
Rekic, Mr. Tido no male 38.0000
Reynolds, Mr. Harold J no male 21.0000
Rice, Master. Albert no male 10.0000
Rice, Master. Arthur no male 4.0000
Rice, Master. Eric no male 7.0000
Rice, Master. Eugene no male 2.0000
Rice, Master. George Hugh no male 8.0000
Rice, Mrs. William (Margaret No no female 39.0000
Riihivouri, Miss. Susanna Juhan no female 22.0000
Rintamaki, Mr. Matti no male 35.0000
Riordan, Miss. Johanna Hannah yes female NA
Risien, Mr. Samuel Beard no male NA
Risien, Mrs. Samuel (Emma) no female NA
Robins, Mr. Alexander A no male 50.0000
Robins, Mrs. Alexander A (Grace no female 47.0000
Rogers, Mr. William John no male NA
Rommetvedt, Mr. Knud Paust no male NA
Rosblom, Miss. Salli Helena no female 2.0000
Rosblom, Mr. Viktor Richard no male 18.0000
Rosblom, Mrs. Viktor (Helena Wi no female 41.0000
Roth, Miss. Sarah A yes female NA
Rouse, Mr. Richard Henry no male 50.0000
Rush, Mr. Alfred George John no male 16.0000
Ryan, Mr. Edward yes male NA
Ryan, Mr. Patrick no male NA
Saad, Mr. Amin no male NA
Saad, Mr. Khalil no male 25.0000
Saade, Mr. Jean Nassr no male NA
Sadlier, Mr. Matthew no male NA
Sadowitz, Mr. Harry no male NA
Saether, Mr. Simon Sivertsen no male 38.5000
Sage, Master. Thomas Henry no male NA
Sage, Master. William Henry no male 14.5000
Sage, Miss. Ada no female NA
Sage, Miss. Constance Gladys no female NA
Sage, Miss. Dorothy Edith Doll no female NA
Sage, Miss. Stella Anna no female NA
Sage, Mr. Douglas Bullen no male NA
Sage, Mr. Frederick no male NA
Sage, Mr. George John Jr no male NA
Sage, Mr. John George no male NA
Sage, Mrs. John (Annie Bullen) no female NA
Salander, Mr. Karl Johan no male 24.0000
Salkjelsvik, Miss. Anna Kristin yes female 21.0000
Salonen, Mr. Johan Werner no male 39.0000
Samaan, Mr. Elias no male NA
Samaan, Mr. Hanna no male NA
Samaan, Mr. Youssef no male NA
Sandstrom, Miss. Beatrice Irene yes female 1.0000
Sandstrom, Mrs. Hjalmar (Agnes yes female 24.0000
Sandstrom, Miss. Marguerite Rut yes female 4.0000
Sap, Mr. Julius yes male 25.0000
Saundercock, Mr. William Henry no male 20.0000
Sawyer, Mr. Frederick Charles no male 24.5000
Scanlan, Mr. James no male NA
Sdycoff, Mr. Todor no male NA
Shaughnessy, Mr. Patrick no male NA
Sheerlinck, Mr. Jan Baptist yes male 29.0000
Shellard, Mr. Frederick William no male NA
Shine, Miss. Ellen Natalia yes female NA
Shorney, Mr. Charles Joseph no male NA
Simmons, Mr. John no male NA
Sirayanian, Mr. Orsen no male 22.0000
Sirota, Mr. Maurice no male NA
Sivic, Mr. Husein no male 40.0000
Sivola, Mr. Antti Wilhelm no male 21.0000
Sjoblom, Miss. Anna Sofia yes female 18.0000
Skoog, Master. Harald no male 4.0000
Skoog, Master. Karl Thorsten no male 10.0000
Skoog, Miss. Mabel no female 9.0000
Skoog, Miss. Margit Elizabeth no female 2.0000
Skoog, Mr. Wilhelm no male 40.0000
Skoog, Mrs. William (Anna Bernh no female 45.0000
Slabenoff, Mr. Petco no male NA
Slocovski, Mr. Selman Francis no male NA
Smiljanic, Mr. Mile no male NA
Smith, Mr. Thomas no male NA
Smyth, Miss. Julia yes female NA
Soholt, Mr. Peter Andreas Lauri no male 19.0000
Somerton, Mr. Francis William no male 30.0000
Spector, Mr. Woolf no male NA
Spinner, Mr. Henry John no male 32.0000
Staneff, Mr. Ivan no male NA
Stankovic, Mr. Ivan no male 33.0000
Stanley, Miss. Amy Zillah Elsie yes female 23.0000
Stanley, Mr. Edward Roland no male 21.0000
Storey, Mr. Thomas no male 60.5000
Stoytcheff, Mr. Ilia no male 19.0000
Strandberg, Miss. Ida Sofia no female 22.0000
Stranden, Mr. Juho yes male 31.0000
Strilic, Mr. Ivan no male 27.0000
Strom, Miss. Telma Matilda no female 2.0000
Strom, Mrs. Wilhelm (Elna Matil no female 29.0000
Sunderland, Mr. Victor Francis yes male 16.0000
Sundman, Mr. Johan Julian yes male 44.0000
Sutehall, Mr. Henry Jr no male 25.0000
Svensson, Mr. Johan no male 74.0000
Svensson, Mr. Johan Cervin yes male 14.0000
Svensson, Mr. Olof no male 24.0000
Tenglin, Mr. Gunnar Isidor yes male 25.0000
Theobald, Mr. Thomas Leonard no male 34.0000
Thomas, Master. Assad Alexander yes male 0.4167
Thomas, Mr. Charles P no male NA
Thomas, Mr. John no male NA
Thomas, Mr. Tannous no male NA
Thomas, Mrs. Alexander (Thamine yes female 16.0000
Thomson, Mr. Alexander Morrison no male NA
Thorneycroft, Mr. Percival no male NA
Thorneycroft, Mrs. Percival (Fl yes female NA
Tikkanen, Mr. Juho no male 32.0000
Tobin, Mr. Roger no male NA
Todoroff, Mr. Lalio no male NA
Tomlin, Mr. Ernest Portage no male 30.5000
Torber, Mr. Ernst William no male 44.0000
Torfa, Mr. Assad no male NA
Tornquist, Mr. William Henry yes male 25.0000
Toufik, Mr. Nakli no male NA
Touma, Master. Georges Youssef yes male 7.0000
Touma, Miss. Maria Youssef yes female 9.0000
Touma, Mrs. Darwis (Hanne Youss yes female 29.0000
Turcin, Mr. Stjepan no male 36.0000
Turja, Miss. Anna Sofia yes female 18.0000
Turkula, Mrs. (Hedwig) yes female 63.0000
van Billiard, Master. James Wil no male NA
van Billiard, Master. Walter Jo no male 11.5000
van Billiard, Mr. Austin Blyler no male 40.5000
Van Impe, Miss. Catharina no female 10.0000
Van Impe, Mr. Jean Baptiste no male 36.0000
Van Impe, Mrs. Jean Baptiste (R no female 30.0000
van Melkebeke, Mr. Philemon no male NA
Vande Velde, Mr. Johannes Josep no male 33.0000
Vande Walle, Mr. Nestor Cyriel no male 28.0000
Vanden Steen, Mr. Leo Peter no male 28.0000
Vander Cruyssen, Mr. Victor no male 47.0000
Vander Planke, Miss. Augusta Ma no female 18.0000
Vander Planke, Mr. Julius no male 31.0000
Vander Planke, Mr. Leo Edmondus no male 16.0000
Vander Planke, Mrs. Julius (Eme no female 31.0000
Vartanian, Mr. David yes male 22.0000
Vendel, Mr. Olof Edvin no male 20.0000
Vestrom, Miss. Hulda Amanda Ado no female 14.0000
Vovk, Mr. Janko no male 22.0000
Waelens, Mr. Achille no male 22.0000
Ware, Mr. Frederick no male NA
Warren, Mr. Charles William no male NA
Webber, Mr. James no male NA
Wenzel, Mr. Linhart no male 32.5000
Whabee, Mrs. George Joseph (Sha yes female 38.0000
Widegren, Mr. Carl/Charles Pete no male 51.0000
Wiklund, Mr. Jakob Alfred no male 18.0000
Wiklund, Mr. Karl Johan no male 21.0000
Wilkes, Mrs. James (Ellen Needs yes female 47.0000
Willer, Mr. Aaron (Abi Weller no male NA
Willey, Mr. Edward no male NA
Williams, Mr. Howard Hugh Harr no male NA
Williams, Mr. Leslie no male 28.5000
Windelov, Mr. Einar no male 21.0000
Wirz, Mr. Albert no male 27.0000
Wiseman, Mr. Phillippe no male NA
Wittevrongel, Mr. Camille no male 36.0000
Yasbeck, Mr. Antoni no male 27.0000
Yasbeck, Mrs. Antoni (Selini Al yes female 15.0000
Youseff, Mr. Gerious no male 45.5000
Yousif, Mr. Wazli no male NA
Yousseff, Mr. Gerious no male NA
Zabour, Miss. Hileni no female 14.5000
Zabour, Miss. Thamine no female NA
Zakarian, Mr. Mapriededer no male 26.5000
Zakarian, Mr. Ortin no male 27.0000
Zimmerman, Mr. Leo no male 29.0000
passengerClass
Allen, Miss. Elisabeth Walton 1st
Allison, Master. Hudson Trevor 1st
Allison, Miss. Helen Loraine 1st
Allison, Mr. Hudson Joshua Crei 1st
Allison, Mrs. Hudson J C (Bessi 1st
Anderson, Mr. Harry 1st
Andrews, Miss. Kornelia Theodos 1st
Andrews, Mr. Thomas Jr 1st
Appleton, Mrs. Edward Dale (Cha 1st
Artagaveytia, Mr. Ramon 1st
Astor, Col. John Jacob 1st
Astor, Mrs. John Jacob (Madelei 1st
Aubart, Mme. Leontine Pauline 1st
Barber, Miss. Ellen Nellie 1st
Barkworth, Mr. Algernon Henry W 1st
Baumann, Mr. John D 1st
Baxter, Mr. Quigg Edmond 1st
Baxter, Mrs. James (Helene DeLa 1st
Bazzani, Miss. Albina 1st
Beattie, Mr. Thomson 1st
Beckwith, Mr. Richard Leonard 1st
Beckwith, Mrs. Richard Leonard 1st
Behr, Mr. Karl Howell 1st
Bidois, Miss. Rosalie 1st
Bird, Miss. Ellen 1st
Birnbaum, Mr. Jakob 1st
Bishop, Mr. Dickinson H 1st
Bishop, Mrs. Dickinson H (Helen 1st
Bissette, Miss. Amelia 1st
Bjornstrom-Steffansson, Mr. Mau 1st
Blackwell, Mr. Stephen Weart 1st
Blank, Mr. Henry 1st
Bonnell, Miss. Caroline 1st
Bonnell, Miss. Elizabeth 1st
Borebank, Mr. John James 1st
Bowen, Miss. Grace Scott 1st
Bowerman, Miss. Elsie Edith 1st
Bradley, Mr. George (George Ar 1st
Brady, Mr. John Bertram 1st
Brandeis, Mr. Emil 1st
Brewe, Dr. Arthur Jackson 1st
Brown, Mrs. James Joseph (Marga 1st
Brown, Mrs. John Murray (Caroli 1st
Bucknell, Mrs. William Robert ( 1st
Burns, Miss. Elizabeth Margaret 1st
Butt, Major. Archibald Willingh 1st
Cairns, Mr. Alexander 1st
Calderhead, Mr. Edward Penningt 1st
Candee, Mrs. Edward (Helen Chur 1st
Cardeza, Mr. Thomas Drake Marti 1st
Cardeza, Mrs. James Warburton M 1st
Carlsson, Mr. Frans Olof 1st
Carrau, Mr. Francisco M 1st
Carrau, Mr. Jose Pedro 1st
Carter, Master. William Thornto 1st
Carter, Miss. Lucile Polk 1st
Carter, Mr. William Ernest 1st
Carter, Mrs. William Ernest (Lu 1st
Case, Mr. Howard Brown 1st
Cassebeer, Mrs. Henry Arthur Jr 1st
Cavendish, Mr. Tyrell William 1st
Cavendish, Mrs. Tyrell William 1st
Chaffee, Mr. Herbert Fuller 1st
Chaffee, Mrs. Herbert Fuller (C 1st
Chambers, Mr. Norman Campbell 1st
Chambers, Mrs. Norman Campbell 1st
Chaudanson, Miss. Victorine 1st
Cherry, Miss. Gladys 1st
Chevre, Mr. Paul Romaine 1st
Chibnall, Mrs. (Edith Martha Bo 1st
Chisholm, Mr. Roderick Robert C 1st
Clark, Mr. Walter Miller 1st
Clark, Mrs. Walter Miller (Virg 1st
Cleaver, Miss. Alice 1st
Clifford, Mr. George Quincy 1st
Colley, Mr. Edward Pomeroy 1st
Compton, Miss. Sara Rebecca 1st
Compton, Mr. Alexander Taylor J 1st
Compton, Mrs. Alexander Taylor 1st
Cornell, Mrs. Robert Clifford ( 1st
Crafton, Mr. John Bertram 1st
Crosby, Capt. Edward Gifford 1st
Crosby, Miss. Harriet R 1st
Crosby, Mrs. Edward Gifford (Ca 1st
Cumings, Mr. John Bradley 1st
Cumings, Mrs. John Bradley (Flo 1st
Daly, Mr. Peter Denis 1st
Daniel, Mr. Robert Williams 1st
Daniels, Miss. Sarah 1st
Davidson, Mr. Thornton 1st
Davidson, Mrs. Thornton (Orian 1st
Dick, Mr. Albert Adrian 1st
Dick, Mrs. Albert Adrian (Vera 1st
Dodge, Dr. Washington 1st
Dodge, Master. Washington 1st
Dodge, Mrs. Washington (Ruth Vi 1st
Douglas, Mr. Walter Donald 1st
Douglas, Mrs. Frederick Charles 1st
Douglas, Mrs. Walter Donald (Ma 1st
Duff Gordon, Lady. (Lucille Chr 1st
Duff Gordon, Sir. Cosmo Edmund 1st
Dulles, Mr. William Crothers 1st
Earnshaw, Mrs. Boulton (Olive P 1st
Endres, Miss. Caroline Louise 1st
Eustis, Miss. Elizabeth Mussey 1st
Evans, Miss. Edith Corse 1st
Farthing, Mr. John 1st
Flegenheim, Mrs. Alfred (Antoin 1st
Fleming, Miss. Margaret 1st
Flynn, Mr. John Irwin (Irving 1st
Foreman, Mr. Benjamin Laventall 1st
Fortune, Miss. Alice Elizabeth 1st
Fortune, Miss. Ethel Flora 1st
Fortune, Miss. Mabel Helen 1st
Fortune, Mr. Charles Alexander 1st
Fortune, Mr. Mark 1st
Fortune, Mrs. Mark (Mary McDoug 1st
Francatelli, Miss. Laura Mabel 1st
Franklin, Mr. Thomas Parham 1st
Frauenthal, Dr. Henry William 1st
Frauenthal, Mr. Isaac Gerald 1st
Frauenthal, Mrs. Henry William 1st
Frolicher, Miss. Hedwig Margari 1st
Frolicher-Stehli, Mr. Maxmillia 1st
Frolicher-Stehli, Mrs. Maxmilli 1st
Fry, Mr. Richard 1st
Futrelle, Mr. Jacques Heath 1st
Futrelle, Mrs. Jacques Heath (L 1st
Gee, Mr. Arthur H 1st
Geiger, Miss. Amalie 1st
Gibson, Miss. Dorothy Winifred 1st
Gibson, Mrs. Leonard (Pauline C 1st
Giglio, Mr. Victor 1st
Goldenberg, Mr. Samuel L 1st
Goldenberg, Mrs. Samuel L (Edwi 1st
Goldschmidt, Mr. George B 1st
Gracie, Col. Archibald IV 1st
Graham, Miss. Margaret Edith 1st
Graham, Mr. George Edward 1st
Graham, Mrs. William Thompson ( 1st
Greenfield, Mr. William Bertram 1st
Greenfield, Mrs. Leo David (Bla 1st
Guggenheim, Mr. Benjamin 1st
Harder, Mr. George Achilles 1st
Harder, Mrs. George Achilles (D 1st
Harper, Mr. Henry Sleeper 1st
Harper, Mrs. Henry Sleeper (Myn 1st
Harrington, Mr. Charles H 1st
Harris, Mr. Henry Birkhardt 1st
Harris, Mrs. Henry Birkhardt (I 1st
Harrison, Mr. William 1st
Hassab, Mr. Hammad 1st
Hawksford, Mr. Walter James 1st
Hays, Miss. Margaret Bechstein 1st
Hays, Mr. Charles Melville 1st
Hays, Mrs. Charles Melville (Cl 1st
Head, Mr. Christopher 1st
Hilliard, Mr. Herbert Henry 1st
Hipkins, Mr. William Edward 1st
Hippach, Miss. Jean Gertrude 1st
Hippach, Mrs. Louis Albert (Ida 1st
Hogeboom, Mrs. John C (Anna And 1st
Holverson, Mr. Alexander Oskar 1st
Holverson, Mrs. Alexander Oskar 1st
Homer, Mr. Harry (Mr E Haven) 1st
Hoyt, Mr. Frederick Maxfield 1st
Hoyt, Mr. William Fisher 1st
Hoyt, Mrs. Frederick Maxfield ( 1st
Icard, Miss. Amelie 1st
Isham, Miss. Ann Elizabeth 1st
Ismay, Mr. Joseph Bruce 1st
Jones, Mr. Charles Cresson 1st
Julian, Mr. Henry Forbes 1st
Keeping, Mr. Edwin 1st
Kent, Mr. Edward Austin 1st
Kenyon, Mr. Frederick R 1st
Kenyon, Mrs. Frederick R (Mario 1st
Kimball, Mr. Edwin Nelson Jr 1st
Kimball, Mrs. Edwin Nelson Jr ( 1st
Klaber, Mr. Herman 1st
Kreuchen, Miss. Emilie 1st
Leader, Dr. Alice (Farnham) 1st
LeRoy, Miss. Bertha 1st
Lesurer, Mr. Gustave J 1st
Lewy, Mr. Ervin G 1st
Lindeberg-Lind, Mr. Erik Gustaf 1st
Lindstrom, Mrs. Carl Johan (Sig 1st
Lines, Miss. Mary Conover 1st
Lines, Mrs. Ernest H (Elizabeth 1st
Long, Mr. Milton Clyde 1st
Longley, Miss. Gretchen Fiske 1st
Loring, Mr. Joseph Holland 1st
Lurette, Miss. Elise 1st
Madill, Miss. Georgette Alexand 1st
Maguire, Mr. John Edward 1st
Maioni, Miss. Roberta 1st
Marechal, Mr. Pierre 1st
Marvin, Mr. Daniel Warner 1st
Marvin, Mrs. Daniel Warner (Mar 1st
Mayne, Mlle. Berthe Antonine ( 1st
McCaffry, Mr. Thomas Francis 1st
McCarthy, Mr. Timothy J 1st
McGough, Mr. James Robert 1st
Meyer, Mr. Edgar Joseph 1st
Meyer, Mrs. Edgar Joseph (Leila 1st
Millet, Mr. Francis Davis 1st
Minahan, Dr. William Edward 1st
Minahan, Miss. Daisy E 1st
Minahan, Mrs. William Edward (L 1st
Mock, Mr. Philipp Edmund 1st
Molson, Mr. Harry Markland 1st
Moore, Mr. Clarence Bloomfield 1st
Natsch, Mr. Charles H 1st
Newell, Miss. Madeleine 1st
Newell, Miss. Marjorie 1st
Newell, Mr. Arthur Webster 1st
Newsom, Miss. Helen Monypeny 1st
Nicholson, Mr. Arthur Ernest 1st
Oliva y Ocana, Dona. Fermina 1st
Omont, Mr. Alfred Fernand 1st
Ostby, Miss. Helene Ragnhild 1st
Ostby, Mr. Engelhart Cornelius 1st
Ovies y Rodriguez, Mr. Servando 1st
Parr, Mr. William Henry Marsh 1st
Partner, Mr. Austen 1st
Payne, Mr. Vivian Ponsonby 1st
Pears, Mr. Thomas Clinton 1st
Pears, Mrs. Thomas (Edith Wearn 1st
Penasco y Castellana, Mr. Victo 1st
Penasco y Castellana, Mrs. Vict 1st
Perreault, Miss. Anne 1st
Peuchen, Major. Arthur Godfrey 1st
Porter, Mr. Walter Chamberlain 1st
Potter, Mrs. Thomas Jr (Lily Al 1st
Reuchlin, Jonkheer. John George 1st
Rheims, Mr. George Alexander Lu 1st
Ringhini, Mr. Sante 1st
Robbins, Mr. Victor 1st
Robert, Mrs. Edward Scott (Elis 1st
Roebling, Mr. Washington August 1st
Romaine, Mr. Charles Hallace ( 1st
Rood, Mr. Hugh Roscoe 1st
Rosenbaum, Miss. Edith Louise 1st
Rosenshine, Mr. George (Mr Geo 1st
Ross, Mr. John Hugo 1st
Rothes, the Countess. of (Lucy 1st
Rothschild, Mr. Martin 1st
Rothschild, Mrs. Martin (Elizab 1st
Rowe, Mr. Alfred G 1st
Ryerson, Master. John Borie 1st
Ryerson, Miss. Emily Borie 1st
Ryerson, Miss. Susan Parker Su 1st
Ryerson, Mr. Arthur Larned 1st
Ryerson, Mrs. Arthur Larned (Em 1st
Saalfeld, Mr. Adolphe 1st
Sagesser, Mlle. Emma 1st
Salomon, Mr. Abraham L 1st
Schabert, Mrs. Paul (Emma Mock) 1st
Serepeca, Miss. Augusta 1st
Seward, Mr. Frederic Kimber 1st
Shutes, Miss. Elizabeth W 1st
Silverthorne, Mr. Spencer Victo 1st
Silvey, Mr. William Baird 1st
Silvey, Mrs. William Baird (Ali 1st
Simonius-Blumer, Col. Oberst Al 1st
Sloper, Mr. William Thompson 1st
Smart, Mr. John Montgomery 1st
Smith, Mr. James Clinch 1st
Smith, Mr. Lucien Philip 1st
Smith, Mr. Richard William 1st
Smith, Mrs. Lucien Philip (Mary 1st
Snyder, Mr. John Pillsbury 1st
Snyder, Mrs. John Pillsbury (Ne 1st
Spedden, Master. Robert Douglas 1st
Spedden, Mr. Frederic Oakley 1st
Spedden, Mrs. Frederic Oakley ( 1st
Spencer, Mr. William Augustus 1st
Spencer, Mrs. William Augustus 1st
Stahelin-Maeglin, Dr. Max 1st
Stead, Mr. William Thomas 1st
Stengel, Mr. Charles Emil Henry 1st
Stengel, Mrs. Charles Emil Henr 1st
Stephenson, Mrs. Walter Bertram 1st
Stewart, Mr. Albert A 1st
Stone, Mrs. George Nelson (Mart 1st
Straus, Mr. Isidor 1st
Straus, Mrs. Isidor (Rosalie Id 1st
Sutton, Mr. Frederick 1st
Swift, Mrs. Frederick Joel (Mar 1st
Taussig, Miss. Ruth 1st
Taussig, Mr. Emil 1st
Taussig, Mrs. Emil (Tillie Mand 1st
Taylor, Mr. Elmer Zebley 1st
Taylor, Mrs. Elmer Zebley (Juli 1st
Thayer, Mr. John Borland 1st
Thayer, Mr. John Borland Jr 1st
Thayer, Mrs. John Borland (Mari 1st
Thorne, Mrs. Gertrude Maybelle 1st
Tucker, Mr. Gilbert Milligan Jr 1st
Uruchurtu, Don. Manuel E 1st
Van der hoef, Mr. Wyckoff 1st
Walker, Mr. William Anderson 1st
Ward, Miss. Anna 1st
Warren, Mr. Frank Manley 1st
Warren, Mrs. Frank Manley (Anna 1st
Weir, Col. John 1st
White, Mr. Percival Wayland 1st
White, Mr. Richard Frasar 1st
White, Mrs. John Stuart (Ella H 1st
Wick, Miss. Mary Natalie 1st
Wick, Mr. George Dennick 1st
Wick, Mrs. George Dennick (Mary 1st
Widener, Mr. George Dunton 1st
Widener, Mr. Harry Elkins 1st
Widener, Mrs. George Dunton (El 1st
Willard, Miss. Constance 1st
Williams, Mr. Charles Duane 1st
Williams, Mr. Richard Norris II 1st
Williams-Lambert, Mr. Fletcher 1st
Wilson, Miss. Helen Alice 1st
Woolner, Mr. Hugh 1st
Wright, Mr. George 1st
Young, Miss. Marie Grice 1st
Abelson, Mr. Samuel 2nd
Abelson, Mrs. Samuel (Hannah Wi 2nd
Aldworth, Mr. Charles Augustus 2nd
Andrew, Mr. Edgardo Samuel 2nd
Andrew, Mr. Frank Thomas 2nd
Angle, Mr. William A 2nd
Angle, Mrs. William A (Florence 2nd
Ashby, Mr. John 2nd
Bailey, Mr. Percy Andrew 2nd
Baimbrigge, Mr. Charles Robert 2nd
Ball, Mrs. (Ada E Hall) 2nd
Banfield, Mr. Frederick James 2nd
Bateman, Rev. Robert James 2nd
Beane, Mr. Edward 2nd
Beane, Mrs. Edward (Ethel Clark 2nd
Beauchamp, Mr. Henry James 2nd
Becker, Master. Richard F 2nd
Becker, Miss. Marion Louise 2nd
Becker, Miss. Ruth Elizabeth 2nd
Becker, Mrs. Allen Oliver (Nell 2nd
Beesley, Mr. Lawrence 2nd
Bentham, Miss. Lilian W 2nd
Berriman, Mr. William John 2nd
Botsford, Mr. William Hull 2nd
Bowenur, Mr. Solomon 2nd
Bracken, Mr. James H 2nd
Brown, Miss. Amelia Mildred 2nd
Brown, Miss. Edith Eileen 2nd
Brown, Mr. Thomas William Solom 2nd
Brown, Mrs. Thomas William Solo 2nd
Bryhl, Miss. Dagmar Jenny Ingeb 2nd
Bryhl, Mr. Kurt Arnold Gottfrid 2nd
Buss, Miss. Kate 2nd
Butler, Mr. Reginald Fenton 2nd
Byles, Rev. Thomas Roussel Davi 2nd
Bystrom, Mrs. (Karolina) 2nd
Caldwell, Master. Alden Gates 2nd
Caldwell, Mr. Albert Francis 2nd
Caldwell, Mrs. Albert Francis ( 2nd
Cameron, Miss. Clear Annie 2nd
Campbell, Mr. William 2nd
Carbines, Mr. William 2nd
Carter, Mrs. Ernest Courtenay ( 2nd
Carter, Rev. Ernest Courtenay 2nd
Chapman, Mr. Charles Henry 2nd
Chapman, Mr. John Henry 2nd
Chapman, Mrs. John Henry (Sara 2nd
Christy, Miss. Julie Rachel 2nd
Christy, Mrs. (Alice Frances) 2nd
Clarke, Mr. Charles Valentine 2nd
Clarke, Mrs. Charles V (Ada Mar 2nd
Coleridge, Mr. Reginald Charles 2nd
Collander, Mr. Erik Gustaf 2nd
Collett, Mr. Sidney C Stuart 2nd
Collyer, Miss. Marjorie Lottie 2nd
Collyer, Mr. Harvey 2nd
Collyer, Mrs. Harvey (Charlotte 2nd
Cook, Mrs. (Selena Rogers) 2nd
Corbett, Mrs. Walter H (Irene C 2nd
Corey, Mrs. Percy C (Mary Phyll 2nd
Cotterill, Mr. Henry Harry 2nd
Cunningham, Mr. Alfred Fleming 2nd
Davies, Master. John Morgan Jr 2nd
Davies, Mr. Charles Henry 2nd
Davies, Mrs. John Morgan (Eliza 2nd
Davis, Miss. Mary 2nd
de Brito, Mr. Jose Joaquim 2nd
Deacon, Mr. Percy William 2nd
del Carlo, Mr. Sebastiano 2nd
del Carlo, Mrs. Sebastiano (Arg 2nd
Denbury, Mr. Herbert 2nd
Dibden, Mr. William 2nd
Doling, Miss. Elsie 2nd
Doling, Mrs. John T (Ada Julia 2nd
Downton, Mr. William James 2nd
Drew, Master. Marshall Brines 2nd
Drew, Mr. James Vivian 2nd
Drew, Mrs. James Vivian (Lulu T 2nd
Duran y More, Miss. Asuncion 2nd
Duran y More, Miss. Florentina 2nd
Eitemiller, Mr. George Floyd 2nd
Enander, Mr. Ingvar 2nd
Fahlstrom, Mr. Arne Jonas 2nd
Faunthorpe, Mr. Harry 2nd
Faunthorpe, Mrs. Lizzie (Elizab 2nd
Fillbrook, Mr. Joseph Charles 2nd
Fox, Mr. Stanley Hubert 2nd
Frost, Mr. Anthony Wood Archie 2nd
Funk, Miss. Annie Clemmer 2nd
Fynney, Mr. Joseph J 2nd
Gale, Mr. Harry 2nd
Gale, Mr. Shadrach 2nd
Garside, Miss. Ethel 2nd
Gaskell, Mr. Alfred 2nd
Gavey, Mr. Lawrence 2nd
Gilbert, Mr. William 2nd
Giles, Mr. Edgar 2nd
Giles, Mr. Frederick Edward 2nd
Giles, Mr. Ralph 2nd
Gill, Mr. John William 2nd
Gillespie, Mr. William Henry 2nd
Givard, Mr. Hans Kristensen 2nd
Greenberg, Mr. Samuel 2nd
Hale, Mr. Reginald 2nd
Hamalainen, Master. Viljo 2nd
Hamalainen, Mrs. William (Anna) 2nd
Harbeck, Mr. William H 2nd
Harper, Miss. Annie Jessie Nin 2nd
Harper, Rev. John 2nd
Harris, Mr. George 2nd
Harris, Mr. Walter 2nd
Hart, Miss. Eva Miriam 2nd
Hart, Mr. Benjamin 2nd
Hart, Mrs. Benjamin (Esther Ada 2nd
Herman, Miss. Alice 2nd
Herman, Miss. Kate 2nd
Herman, Mr. Samuel 2nd
Herman, Mrs. Samuel (Jane Laver 2nd
Hewlett, Mrs. (Mary D Kingcome) 2nd
Hickman, Mr. Leonard Mark 2nd
Hickman, Mr. Lewis 2nd
Hickman, Mr. Stanley George 2nd
Hiltunen, Miss. Marta 2nd
Hocking, Miss. Ellen Nellie 2nd
Hocking, Mr. Richard George 2nd
Hocking, Mr. Samuel James Metca 2nd
Hocking, Mrs. Elizabeth (Eliza 2nd
Hodges, Mr. Henry Price 2nd
Hold, Mr. Stephen 2nd
Hold, Mrs. Stephen (Annie Marga 2nd
Hood, Mr. Ambrose Jr 2nd
Hosono, Mr. Masabumi 2nd
Howard, Mr. Benjamin 2nd
Howard, Mrs. Benjamin (Ellen Tr 2nd
Hunt, Mr. George Henry 2nd
Ilett, Miss. Bertha 2nd
Jacobsohn, Mr. Sidney Samuel 2nd
Jacobsohn, Mrs. Sidney Samuel ( 2nd
Jarvis, Mr. John Denzil 2nd
Jefferys, Mr. Clifford Thomas 2nd
Jefferys, Mr. Ernest Wilfred 2nd
Jenkin, Mr. Stephen Curnow 2nd
Jerwan, Mrs. Amin S (Marie Mart 2nd
Kantor, Mr. Sinai 2nd
Kantor, Mrs. Sinai (Miriam Ster 2nd
Karnes, Mrs. J Frank (Claire Be 2nd
Keane, Miss. Nora A 2nd
Keane, Mr. Daniel 2nd
Kelly, Mrs. Florence Fannie 2nd
Kirkland, Rev. Charles Leonard 2nd
Knight, Mr. Robert J 2nd
Kvillner, Mr. Johan Henrik Joha 2nd
Lahtinen, Mrs. William (Anna Sy 2nd
Lahtinen, Rev. William 2nd
Lamb, Mr. John Joseph 2nd
Laroche, Miss. Louise 2nd
Laroche, Miss. Simonne Marie An 2nd
Laroche, Mr. Joseph Philippe Le 2nd
Laroche, Mrs. Joseph (Juliette 2nd
Lehmann, Miss. Bertha 2nd
Leitch, Miss. Jessie Wills 2nd
Lemore, Mrs. (Amelia Milley) 2nd
Levy, Mr. Rene Jacques 2nd
Leyson, Mr. Robert William Norm 2nd
Lingane, Mr. John 2nd
Louch, Mr. Charles Alexander 2nd
Louch, Mrs. Charles Alexander ( 2nd
Mack, Mrs. (Mary) 2nd
Malachard, Mr. Noel 2nd
Mallet, Master. Andre 2nd
Mallet, Mr. Albert 2nd
Mallet, Mrs. Albert (Antoinette 2nd
Mangiavacchi, Mr. Serafino Emil 2nd
Matthews, Mr. William John 2nd
Maybery, Mr. Frank Hubert 2nd
McCrae, Mr. Arthur Gordon 2nd
McCrie, Mr. James Matthew 2nd
McKane, Mr. Peter David 2nd
Mellinger, Miss. Madeleine Viol 2nd
Mellinger, Mrs. (Elizabeth Anne 2nd
Mellors, Mr. William John 2nd
Meyer, Mr. August 2nd
Milling, Mr. Jacob Christian 2nd
Mitchell, Mr. Henry Michael 2nd
Montvila, Rev. Juozas 2nd
Moraweck, Dr. Ernest 2nd
Morley, Mr. Henry Samuel (Mr H 2nd
Mudd, Mr. Thomas Charles 2nd
Myles, Mr. Thomas Francis 2nd
Nasser, Mr. Nicholas 2nd
Nasser, Mrs. Nicholas (Adele Ac 2nd
Navratil, Master. Edmond Roger 2nd
Navratil, Master. Michel M 2nd
Navratil, Mr. Michel (Louis M 2nd
Nesson, Mr. Israel 2nd
Nicholls, Mr. Joseph Charles 2nd
Norman, Mr. Robert Douglas 2nd
Nourney, Mr. Alfred (Baron von 2nd
Nye, Mrs. (Elizabeth Ramell) 2nd
Otter, Mr. Richard 2nd
Oxenham, Mr. Percy Thomas 2nd
Padro y Manent, Mr. Julian 2nd
Pain, Dr. Alfred 2nd
Pallas y Castello, Mr. Emilio 2nd
Parker, Mr. Clifford Richard 2nd
Parkes, Mr. Francis Frank 2nd
Parrish, Mrs. (Lutie Davis) 2nd
Pengelly, Mr. Frederick William 2nd
Pernot, Mr. Rene 2nd
Peruschitz, Rev. Joseph Maria 2nd
Phillips, Miss. Alice Frances L 2nd
Phillips, Miss. Kate Florence ( 2nd
Phillips, Mr. Escott Robert 2nd
Pinsky, Mrs. (Rosa) 2nd
Ponesell, Mr. Martin 2nd
Portaluppi, Mr. Emilio Ilario G 2nd
Pulbaum, Mr. Franz 2nd
Quick, Miss. Phyllis May 2nd
Quick, Miss. Winifred Vera 2nd
Quick, Mrs. Frederick Charles ( 2nd
Reeves, Mr. David 2nd
Renouf, Mr. Peter Henry 2nd
Renouf, Mrs. Peter Henry (Lilli 2nd
Reynaldo, Ms. Encarnacion 2nd
Richard, Mr. Emile 2nd
Richards, Master. George Sibley 2nd
Richards, Master. William Rowe 2nd
Richards, Mrs. Sidney (Emily Ho 2nd
Ridsdale, Miss. Lucy 2nd
Rogers, Mr. Reginald Harry 2nd
Rugg, Miss. Emily 2nd
Schmidt, Mr. August 2nd
Sedgwick, Mr. Charles Frederick 2nd
Sharp, Mr. Percival James R 2nd
Shelley, Mrs. William (Imanita 2nd
Silven, Miss. Lyyli Karoliina 2nd
Sincock, Miss. Maude 2nd
Sinkkonen, Miss. Anna 2nd
Sjostedt, Mr. Ernst Adolf 2nd
Slayter, Miss. Hilda Mary 2nd
Slemen, Mr. Richard James 2nd
Smith, Miss. Marion Elsie 2nd
Sobey, Mr. Samuel James Hayden 2nd
Stanton, Mr. Samuel Ward 2nd
Stokes, Mr. Philip Joseph 2nd
Swane, Mr. George 2nd
Sweet, Mr. George Frederick 2nd
Toomey, Miss. Ellen 2nd
Troupiansky, Mr. Moses Aaron 2nd
Trout, Mrs. William H (Jessie L 2nd
Troutt, Miss. Edwina Celia Win 2nd
Turpin, Mr. William John Robert 2nd
Turpin, Mrs. William John Rober 2nd
Veal, Mr. James 2nd
Walcroft, Miss. Nellie 2nd
Ware, Mr. John James 2nd
Ware, Mr. William Jeffery 2nd
Ware, Mrs. John James (Florence 2nd
Watson, Mr. Ennis Hastings 2nd
Watt, Miss. Bertha J 2nd
Watt, Mrs. James (Elizabeth Be 2nd
Webber, Miss. Susan 2nd
Weisz, Mr. Leopold 2nd
Weisz, Mrs. Leopold (Mathilde F 2nd
Wells, Master. Ralph Lester 2nd
Wells, Miss. Joan 2nd
Wells, Mrs. Arthur Henry (Addi 2nd
West, Miss. Barbara J 2nd
West, Miss. Constance Mirium 2nd
West, Mr. Edwy Arthur 2nd
West, Mrs. Edwy Arthur (Ada Mar 2nd
Wheadon, Mr. Edward H 2nd
Wheeler, Mr. Edwin Frederick 2nd
Wilhelms, Mr. Charles 2nd
Williams, Mr. Charles Eugene 2nd
Wright, Miss. Marion 2nd
Yrois, Miss. Henriette (Mrs Ha 2nd
Abbing, Mr. Anthony 3rd
Abbott, Master. Eugene Joseph 3rd
Abbott, Mr. Rossmore Edward 3rd
Abbott, Mrs. Stanton (Rosa Hunt 3rd
Abelseth, Miss. Karen Marie 3rd
Abelseth, Mr. Olaus Jorgensen 3rd
Abrahamsson, Mr. Abraham August 3rd
Abrahim, Mrs. Joseph (Sophie Ha 3rd
Adahl, Mr. Mauritz Nils Martin 3rd
Adams, Mr. John 3rd
Ahlin, Mrs. Johan (Johanna Pers 3rd
Aks, Master. Philip Frank 3rd
Aks, Mrs. Sam (Leah Rosen) 3rd
Albimona, Mr. Nassef Cassem 3rd
Alexander, Mr. William 3rd
Alhomaki, Mr. Ilmari Rudolf 3rd
Ali, Mr. Ahmed 3rd
Ali, Mr. William 3rd
Allen, Mr. William Henry 3rd
Allum, Mr. Owen George 3rd
Andersen, Mr. Albert Karvin 3rd
Andersen-Jensen, Miss. Carla Ch 3rd
Andersson, Master. Sigvard Hara 3rd
Andersson, Miss. Ebba Iris Alfr 3rd
Andersson, Miss. Ellis Anna Mar 3rd
Andersson, Miss. Erna Alexandra 3rd
Andersson, Miss. Ida Augusta Ma 3rd
Andersson, Miss. Ingeborg Const 3rd
Andersson, Miss. Sigrid Elisabe 3rd
Andersson, Mr. Anders Johan 3rd
Andersson, Mr. August Edvard ( 3rd
Andersson, Mr. Johan Samuel 3rd
Andersson, Mrs. Anders Johan (A 3rd
Andreasson, Mr. Paul Edvin 3rd
Angheloff, Mr. Minko 3rd
Arnold-Franchi, Mr. Josef 3rd
Arnold-Franchi, Mrs. Josef (Jos 3rd
Aronsson, Mr. Ernst Axel Algot 3rd
Asim, Mr. Adola 3rd
Asplund, Master. Carl Edgar 3rd
Asplund, Master. Clarence Gusta 3rd
Asplund, Master. Edvin Rojj Fel 3rd
Asplund, Master. Filip Oscar 3rd
Asplund, Miss. Lillian Gertrud 3rd
Asplund, Mr. Carl Oscar Vilhelm 3rd
Asplund, Mr. Johan Charles 3rd
Asplund, Mrs. Carl Oscar (Selma 3rd
Assaf Khalil, Mrs. Mariana (Mi 3rd
Assaf, Mr. Gerios 3rd
Assam, Mr. Ali 3rd
Attalah, Miss. Malake 3rd
Attalah, Mr. Sleiman 3rd
Augustsson, Mr. Albert 3rd
Ayoub, Miss. Banoura 3rd
Baccos, Mr. Raffull 3rd
Backstrom, Mr. Karl Alfred 3rd
Backstrom, Mrs. Karl Alfred (Ma 3rd
Baclini, Miss. Eugenie 3rd
Baclini, Miss. Helene Barbara 3rd
Baclini, Miss. Marie Catherine 3rd
Baclini, Mrs. Solomon (Latifa Q 3rd
Badman, Miss. Emily Louisa 3rd
Badt, Mr. Mohamed 3rd
Balkic, Mr. Cerin 3rd
Barah, Mr. Hanna Assi 3rd
Barbara, Miss. Saiide 3rd
Barbara, Mrs. (Catherine David) 3rd
Barry, Miss. Julia 3rd
Barton, Mr. David John 3rd
Beavan, Mr. William Thomas 3rd
Bengtsson, Mr. John Viktor 3rd
Berglund, Mr. Karl Ivar Sven 3rd
Betros, Master. Seman 3rd
Betros, Mr. Tannous 3rd
Bing, Mr. Lee 3rd
Birkeland, Mr. Hans Martin Mons 3rd
Bjorklund, Mr. Ernst Herbert 3rd
Bostandyeff, Mr. Guentcho 3rd
Boulos, Master. Akar 3rd
Boulos, Miss. Nourelain 3rd
Boulos, Mr. Hanna 3rd
Boulos, Mrs. Joseph (Sultana) 3rd
Bourke, Miss. Mary 3rd
Bourke, Mr. John 3rd
Bourke, Mrs. John (Catherine) 3rd
Bowen, Mr. David John Dai 3rd
Bradley, Miss. Bridget Delia 3rd
Braf, Miss. Elin Ester Maria 3rd
Braund, Mr. Lewis Richard 3rd
Braund, Mr. Owen Harris 3rd
Brobeck, Mr. Karl Rudolf 3rd
Brocklebank, Mr. William Alfred 3rd
Buckley, Miss. Katherine 3rd
Buckley, Mr. Daniel 3rd
Burke, Mr. Jeremiah 3rd
Burns, Miss. Mary Delia 3rd
Cacic, Miss. Manda 3rd
Cacic, Miss. Marija 3rd
Cacic, Mr. Jego Grga 3rd
Cacic, Mr. Luka 3rd
Calic, Mr. Jovo 3rd
Calic, Mr. Petar 3rd
Canavan, Miss. Mary 3rd
Canavan, Mr. Patrick 3rd
Cann, Mr. Ernest Charles 3rd
Caram, Mr. Joseph 3rd
Caram, Mrs. Joseph (Maria Elias 3rd
Carlsson, Mr. August Sigfrid 3rd
Carlsson, Mr. Carl Robert 3rd
Carr, Miss. Helen Ellen 3rd
Carr, Miss. Jeannie 3rd
Carver, Mr. Alfred John 3rd
Celotti, Mr. Francesco 3rd
Charters, Mr. David 3rd
Chip, Mr. Chang 3rd
Christmann, Mr. Emil 3rd
Chronopoulos, Mr. Apostolos 3rd
Chronopoulos, Mr. Demetrios 3rd
Coelho, Mr. Domingos Fernandeo 3rd
Cohen, Mr. Gurshon Gus 3rd
Colbert, Mr. Patrick 3rd
Coleff, Mr. Peju 3rd
Coleff, Mr. Satio 3rd
Conlon, Mr. Thomas Henry 3rd
Connaghton, Mr. Michael 3rd
Connolly, Miss. Kate (A) 3rd
Connolly, Miss. Kate (B) 3rd
Connors, Mr. Patrick 3rd
Cook, Mr. Jacob 3rd
Cor, Mr. Bartol 3rd
Cor, Mr. Ivan 3rd
Cor, Mr. Liudevit 3rd
Corn, Mr. Harry 3rd
Coutts, Master. Eden Leslie Ne 3rd
Coutts, Master. William Loch W 3rd
Coutts, Mrs. William (Winnie M 3rd
Coxon, Mr. Daniel 3rd
Crease, Mr. Ernest James 3rd
Cribb, Miss. Laura Alice 3rd
Cribb, Mr. John Hatfield 3rd
Culumovic, Mr. Jeso 3rd
Daher, Mr. Shedid 3rd
Dahl, Mr. Karl Edwart 3rd
Dahlberg, Miss. Gerda Ulrika 3rd
Dakic, Mr. Branko 3rd
Daly, Miss. Margaret Marcella 3rd
Daly, Mr. Eugene Patrick 3rd
Danbom, Master. Gilbert Sigvard 3rd
Danbom, Mr. Ernst Gilbert 3rd
Danbom, Mrs. Ernst Gilbert (Ann 3rd
Danoff, Mr. Yoto 3rd
Dantcheff, Mr. Ristiu 3rd
Davies, Mr. Alfred J 3rd
Davies, Mr. Evan 3rd
Davies, Mr. John Samuel 3rd
Davies, Mr. Joseph 3rd
Davison, Mr. Thomas Henry 3rd
Davison, Mrs. Thomas Henry (Mar 3rd
de Messemaeker, Mr. Guillaume J 3rd
de Messemaeker, Mrs. Guillaume 3rd
de Mulder, Mr. Theodore 3rd
de Pelsmaeker, Mr. Alfons 3rd
Dean, Master. Bertram Vere 3rd
Dean, Miss. Elizabeth Gladys M 3rd
Dean, Mr. Bertram Frank 3rd
Dean, Mrs. Bertram (Eva Georget 3rd
Delalic, Mr. Redjo 3rd
Demetri, Mr. Marinko 3rd
Denkoff, Mr. Mitto 3rd
Dennis, Mr. Samuel 3rd
Dennis, Mr. William 3rd
Devaney, Miss. Margaret Delia 3rd
Dika, Mr. Mirko 3rd
Dimic, Mr. Jovan 3rd
Dintcheff, Mr. Valtcho 3rd
Doharr, Mr. Tannous 3rd
Dooley, Mr. Patrick 3rd
Dorking, Mr. Edward Arthur 3rd
Dowdell, Miss. Elizabeth 3rd
Doyle, Miss. Elizabeth 3rd
Drapkin, Miss. Jennie 3rd
Drazenoic, Mr. Jozef 3rd
Duane, Mr. Frank 3rd
Duquemin, Mr. Joseph 3rd
Dyker, Mr. Adolf Fredrik 3rd
Dyker, Mrs. Adolf Fredrik (Anna 3rd
Edvardsson, Mr. Gustaf Hjalmar 3rd
Eklund, Mr. Hans Linus 3rd
Ekstrom, Mr. Johan 3rd
Elias, Mr. Dibo 3rd
Elias, Mr. Joseph 3rd
Elias, Mr. Joseph Jr 3rd
Elias, Mr. Tannous 3rd
Elsbury, Mr. William James 3rd
Emanuel, Miss. Virginia Ethel 3rd
Emir, Mr. Farred Chehab 3rd
Everett, Mr. Thomas James 3rd
Farrell, Mr. James 3rd
Finoli, Mr. Luigi 3rd
Fischer, Mr. Eberhard Thelander 3rd
Fleming, Miss. Honora 3rd
Flynn, Mr. James 3rd
Flynn, Mr. John 3rd
Foley, Mr. Joseph 3rd
Foley, Mr. William 3rd
Foo, Mr. Choong 3rd
Ford, Miss. Doolina Margaret D 3rd
Ford, Miss. Robina Maggie Ruby 3rd
Ford, Mr. Arthur 3rd
Ford, Mr. Edward Watson 3rd
Ford, Mr. William Neal 3rd
Ford, Mrs. Edward (Margaret Ann 3rd
Fox, Mr. Patrick 3rd
Franklin, Mr. Charles (Charles 3rd
Gallagher, Mr. Martin 3rd
Garfirth, Mr. John 3rd
Gheorgheff, Mr. Stanio 3rd
Gilinski, Mr. Eliezer 3rd
Gilnagh, Miss. Katherine Katie 3rd
Glynn, Miss. Mary Agatha 3rd
Goldsmith, Master. Frank John W 3rd
Goldsmith, Mr. Frank John 3rd
Goldsmith, Mr. Nathan 3rd
Goldsmith, Mrs. Frank John (Emi 3rd
Goncalves, Mr. Manuel Estanslas 3rd
Goodwin, Master. Harold Victor 3rd
Goodwin, Master. Sidney Leonard 3rd
Goodwin, Master. William Freder 3rd
Goodwin, Miss. Jessie Allis 3rd
Goodwin, Miss. Lillian Amy 3rd
Goodwin, Mr. Charles Edward 3rd
Goodwin, Mr. Charles Frederick 3rd
Goodwin, Mrs. Frederick (August 3rd
Green, Mr. George Henry 3rd
Gronnestad, Mr. Daniel Danielse 3rd
Guest, Mr. Robert 3rd
Gustafsson, Mr. Alfred Ossian 3rd
Gustafsson, Mr. Anders Vilhelm 3rd
Gustafsson, Mr. Johan Birger 3rd
Gustafsson, Mr. Karl Gideon 3rd
Haas, Miss. Aloisia 3rd
Hagardon, Miss. Kate 3rd
Hagland, Mr. Ingvald Olai Olsen 3rd
Hagland, Mr. Konrad Mathias Rei 3rd
Hakkarainen, Mr. Pekka Pietari 3rd
Hakkarainen, Mrs. Pekka Pietari 3rd
Hampe, Mr. Leon 3rd
Hanna, Mr. Mansour 3rd
Hansen, Mr. Claus Peter 3rd
Hansen, Mr. Henrik Juul 3rd
Hansen, Mr. Henry Damsgaard 3rd
Hansen, Mrs. Claus Peter (Jenni 3rd
Harknett, Miss. Alice Phoebe 3rd
Harmer, Mr. Abraham (David Lish 3rd
Hart, Mr. Henry 3rd
Hassan, Mr. Houssein G N 3rd
Healy, Miss. Hanora Nora 3rd
Hedman, Mr. Oskar Arvid 3rd
Hee, Mr. Ling 3rd
Hegarty, Miss. Hanora Nora 3rd
Heikkinen, Miss. Laina 3rd
Heininen, Miss. Wendla Maria 3rd
Hellstrom, Miss. Hilda Maria 3rd
Hendekovic, Mr. Ignjac 3rd
Henriksson, Miss. Jenny Lovisa 3rd
Henry, Miss. Delia 3rd
Hirvonen, Miss. Hildur E 3rd
Hirvonen, Mrs. Alexander (Helga 3rd
Holm, Mr. John Fredrik Alexande 3rd
Holthen, Mr. Johan Martin 3rd
Honkanen, Miss. Eliina 3rd
Horgan, Mr. John 3rd
Howard, Miss. May Elizabeth 3rd
Humblen, Mr. Adolf Mathias Nico 3rd
Hyman, Mr. Abraham 3rd
Ibrahim Shawah, Mr. Yousseff 3rd
Ilieff, Mr. Ylio 3rd
Ilmakangas, Miss. Ida Livija 3rd
Ilmakangas, Miss. Pieta Sofia 3rd
Ivanoff, Mr. Kanio 3rd
Jalsevac, Mr. Ivan 3rd
Jansson, Mr. Carl Olof 3rd
Jardin, Mr. Jose Neto 3rd
Jensen, Mr. Hans Peder 3rd
Jensen, Mr. Niels Peder 3rd
Jensen, Mr. Svend Lauritz 3rd
Jermyn, Miss. Annie 3rd
Johannesen-Bratthammer, Mr. Ber 3rd
Johanson, Mr. Jakob Alfred 3rd
Johansson Palmquist, Mr. Oskar 3rd
Johansson, Mr. Erik 3rd
Johansson, Mr. Gustaf Joel 3rd
Johansson, Mr. Karl Johan 3rd
Johansson, Mr. Nils 3rd
Johnson, Master. Harold Theodor 3rd
Johnson, Miss. Eleanor Ileen 3rd
Johnson, Mr. Alfred 3rd
Johnson, Mr. Malkolm Joackim 3rd
Johnson, Mr. William Cahoone Jr 3rd
Johnson, Mrs. Oscar W (Elisabet 3rd
Johnston, Master. William Arthu 3rd
Johnston, Miss. Catherine Helen 3rd
Johnston, Mr. Andrew G 3rd
Johnston, Mrs. Andrew G (Elizab 3rd
Jonkoff, Mr. Lalio 3rd
Jonsson, Mr. Carl 3rd
Jonsson, Mr. Nils Hilding 3rd
Jussila, Miss. Katriina 3rd
Jussila, Miss. Mari Aina 3rd
Jussila, Mr. Eiriik 3rd
Kallio, Mr. Nikolai Erland 3rd
Kalvik, Mr. Johannes Halvorsen 3rd
Karaic, Mr. Milan 3rd
Karlsson, Mr. Einar Gervasius 3rd
Karlsson, Mr. Julius Konrad Eug 3rd
Karlsson, Mr. Nils August 3rd
Karun, Miss. Manca 3rd
Karun, Mr. Franz 3rd
Kassem, Mr. Fared 3rd
Katavelas, Mr. Vassilios (Cata 3rd
Keane, Mr. Andrew Andy 3rd
Keefe, Mr. Arthur 3rd
Kelly, Miss. Anna Katherine An 3rd
Kelly, Miss. Mary 3rd
Kelly, Mr. James (A) 3rd
Kelly, Mr. James (B) 3rd
Kennedy, Mr. John 3rd
Khalil, Mr. Betros 3rd
Khalil, Mrs. Betros (Zahie Mar 3rd
Kiernan, Mr. John 3rd
Kiernan, Mr. Philip 3rd
Kilgannon, Mr. Thomas J 3rd
Kink, Miss. Maria 3rd
Kink, Mr. Vincenz 3rd
Kink-Heilmann, Miss. Luise Gret 3rd
Kink-Heilmann, Mr. Anton 3rd
Kink-Heilmann, Mrs. Anton (Luis 3rd
Klasen, Miss. Gertrud Emilia 3rd
Klasen, Mr. Klas Albin 3rd
Klasen, Mrs. (Hulda Kristina Eu 3rd
Kraeff, Mr. Theodor 3rd
Krekorian, Mr. Neshan 3rd
Lahoud, Mr. Sarkis 3rd
Laitinen, Miss. Kristina Sofia 3rd
Laleff, Mr. Kristo 3rd
Lam, Mr. Ali 3rd
Lam, Mr. Len 3rd
Landergren, Miss. Aurora Adelia 3rd
Lane, Mr. Patrick 3rd
Lang, Mr. Fang 3rd
Larsson, Mr. August Viktor 3rd
Larsson, Mr. Bengt Edvin 3rd
Larsson-Rondberg, Mr. Edvard A 3rd
Leeni, Mr. Fahim (Philip Zenni 3rd
Lefebre, Master. Henry Forbes 3rd
Lefebre, Miss. Ida 3rd
Lefebre, Miss. Jeannie 3rd
Lefebre, Miss. Mathilde 3rd
Lefebre, Mrs. Frank (Frances) 3rd
Leinonen, Mr. Antti Gustaf 3rd
Lemberopolous, Mr. Peter L 3rd
Lennon, Miss. Mary 3rd
Lennon, Mr. Denis 3rd
Leonard, Mr. Lionel 3rd
Lester, Mr. James 3rd
Lievens, Mr. Rene Aime 3rd
Lindahl, Miss. Agda Thorilda Vi 3rd
Lindblom, Miss. Augusta Charlot 3rd
Lindell, Mr. Edvard Bengtsson 3rd
Lindell, Mrs. Edvard Bengtsson 3rd
Lindqvist, Mr. Eino William 3rd
Linehan, Mr. Michael 3rd
Ling, Mr. Lee 3rd
Lithman, Mr. Simon 3rd
Lobb, Mr. William Arthur 3rd
Lobb, Mrs. William Arthur (Cord 3rd
Lockyer, Mr. Edward 3rd
Lovell, Mr. John Hall (Henry) 3rd
Lulic, Mr. Nikola 3rd
Lundahl, Mr. Johan Svensson 3rd
Lundin, Miss. Olga Elida 3rd
Lundstrom, Mr. Thure Edvin 3rd
Lyntakoff, Mr. Stanko 3rd
MacKay, Mr. George William 3rd
Madigan, Miss. Margaret Maggie 3rd
Madsen, Mr. Fridtjof Arne 3rd
Maenpaa, Mr. Matti Alexanteri 3rd
Mahon, Miss. Bridget Delia 3rd
Mahon, Mr. John 3rd
Maisner, Mr. Simon 3rd
Makinen, Mr. Kalle Edvard 3rd
Mamee, Mr. Hanna 3rd
Mangan, Miss. Mary 3rd
Mannion, Miss. Margareth 3rd
Mardirosian, Mr. Sarkis 3rd
Markoff, Mr. Marin 3rd
Markun, Mr. Johann 3rd
Masselmani, Mrs. Fatima 3rd
Matinoff, Mr. Nicola 3rd
McCarthy, Miss. Catherine Kati 3rd
McCormack, Mr. Thomas Joseph 3rd
McCoy, Miss. Agnes 3rd
McCoy, Miss. Alicia 3rd
McCoy, Mr. Bernard 3rd
McDermott, Miss. Brigdet Delia 3rd
McEvoy, Mr. Michael 3rd
McGovern, Miss. Mary 3rd
McGowan, Miss. Anna Annie 3rd
McGowan, Miss. Katherine 3rd
McMahon, Mr. Martin 3rd
McNamee, Mr. Neal 3rd
McNamee, Mrs. Neal (Eileen O'Le 3rd
McNeill, Miss. Bridget 3rd
Meanwell, Miss. (Marion Ogden) 3rd
Meek, Mrs. Thomas (Annie Louise 3rd
Meo, Mr. Alfonzo 3rd
Mernagh, Mr. Robert 3rd
Midtsjo, Mr. Karl Albert 3rd
Miles, Mr. Frank 3rd
Mineff, Mr. Ivan 3rd
Minkoff, Mr. Lazar 3rd
Mionoff, Mr. Stoytcho 3rd
Mitkoff, Mr. Mito 3rd
Mockler, Miss. Helen Mary Elli 3rd
Moen, Mr. Sigurd Hansen 3rd
Moor, Master. Meier 3rd
Moor, Mrs. (Beila) 3rd
Moore, Mr. Leonard Charles 3rd
Moran, Miss. Bertha 3rd
Moran, Mr. Daniel J 3rd
Moran, Mr. James 3rd
Morley, Mr. William 3rd
Morrow, Mr. Thomas Rowan 3rd
Moss, Mr. Albert Johan 3rd
Moubarek, Master. Gerios 3rd
Moubarek, Master. Halim Gonios 3rd
Moubarek, Mrs. George (Omine A 3rd
Moussa, Mrs. (Mantoura Boulos) 3rd
Moutal, Mr. Rahamin Haim 3rd
Mullens, Miss. Katherine Katie 3rd
Mulvihill, Miss. Bertha E 3rd
Murdlin, Mr. Joseph 3rd
Murphy, Miss. Katherine Kate 3rd
Murphy, Miss. Margaret Jane 3rd
Murphy, Miss. Nora 3rd
Myhrman, Mr. Pehr Fabian Oliver 3rd
Naidenoff, Mr. Penko 3rd
Najib, Miss. Adele Kiamie Jane 3rd
Nakid, Miss. Maria (Mary) 3rd
Nakid, Mr. Sahid 3rd
Nakid, Mrs. Said (Waika Mary 3rd
Nancarrow, Mr. William Henry 3rd
Nankoff, Mr. Minko 3rd
Nasr, Mr. Mustafa 3rd
Naughton, Miss. Hannah 3rd
Nenkoff, Mr. Christo 3rd
Nicola-Yarred, Master. Elias 3rd
Nicola-Yarred, Miss. Jamila 3rd
Nieminen, Miss. Manta Josefina 3rd
Niklasson, Mr. Samuel 3rd
Nilsson, Miss. Berta Olivia 3rd
Nilsson, Miss. Helmina Josefina 3rd
Nilsson, Mr. August Ferdinand 3rd
Nirva, Mr. Iisakki Antino Aijo 3rd
Niskanen, Mr. Juha 3rd
Nosworthy, Mr. Richard Cater 3rd
Novel, Mr. Mansouer 3rd
Nysten, Miss. Anna Sofia 3rd
Nysveen, Mr. Johan Hansen 3rd
O'Brien, Mr. Thomas 3rd
O'Brien, Mr. Timothy 3rd
O'Brien, Mrs. Thomas (Johanna 3rd
O'Connell, Mr. Patrick D 3rd
O'Connor, Mr. Maurice 3rd
O'Connor, Mr. Patrick 3rd
Odahl, Mr. Nils Martin 3rd
O'Donoghue, Ms. Bridget 3rd
O'Driscoll, Miss. Bridget 3rd
O'Dwyer, Miss. Ellen Nellie 3rd
Ohman, Miss. Velin 3rd
O'Keefe, Mr. Patrick 3rd
O'Leary, Miss. Hanora Norah 3rd
Olsen, Master. Artur Karl 3rd
Olsen, Mr. Henry Margido 3rd
Olsen, Mr. Karl Siegwart Andrea 3rd
Olsen, Mr. Ole Martin 3rd
Olsson, Miss. Elina 3rd
Olsson, Mr. Nils Johan Goransso 3rd
Olsson, Mr. Oscar Wilhelm 3rd
Olsvigen, Mr. Thor Anderson 3rd
Oreskovic, Miss. Jelka 3rd
Oreskovic, Miss. Marija 3rd
Oreskovic, Mr. Luka 3rd
Osen, Mr. Olaf Elon 3rd
Osman, Mrs. Mara 3rd
O'Sullivan, Miss. Bridget Mary 3rd
Palsson, Master. Gosta Leonard 3rd
Palsson, Master. Paul Folke 3rd
Palsson, Miss. Stina Viola 3rd
Palsson, Miss. Torborg Danira 3rd
Palsson, Mrs. Nils (Alma Cornel 3rd
Panula, Master. Eino Viljami 3rd
Panula, Master. Juha Niilo 3rd
Panula, Master. Urho Abraham 3rd
Panula, Mr. Ernesti Arvid 3rd
Panula, Mr. Jaako Arnold 3rd
Panula, Mrs. Juha (Maria Emilia 3rd
Pasic, Mr. Jakob 3rd
Patchett, Mr. George 3rd
Paulner, Mr. Uscher 3rd
Pavlovic, Mr. Stefo 3rd
Peacock, Master. Alfred Edward 3rd
Peacock, Miss. Treasteall 3rd
Peacock, Mrs. Benjamin (Edith N 3rd
Pearce, Mr. Ernest 3rd
Pedersen, Mr. Olaf 3rd
Peduzzi, Mr. Joseph 3rd
Pekoniemi, Mr. Edvard 3rd
Peltomaki, Mr. Nikolai Johannes 3rd
Perkin, Mr. John Henry 3rd
Persson, Mr. Ernst Ulrik 3rd
Peter, Master. Michael J 3rd
Peter, Miss. Anna 3rd
Peter, Mrs. Catherine (Catherin 3rd
Peters, Miss. Katie 3rd
Petersen, Mr. Marius 3rd
Petranec, Miss. Matilda 3rd
Petroff, Mr. Nedelio 3rd
Petroff, Mr. Pastcho (Pentcho 3rd
Petterson, Mr. Johan Emil 3rd
Pettersson, Miss. Ellen Natalia 3rd
Pickard, Mr. Berk (Berk Trembis 3rd
Plotcharsky, Mr. Vasil 3rd
Pokrnic, Mr. Mate 3rd
Pokrnic, Mr. Tome 3rd
Radeff, Mr. Alexander 3rd
Rasmussen, Mrs. (Lena Jacobsen 3rd
Razi, Mr. Raihed 3rd
Reed, Mr. James George 3rd
Rekic, Mr. Tido 3rd
Reynolds, Mr. Harold J 3rd
Rice, Master. Albert 3rd
Rice, Master. Arthur 3rd
Rice, Master. Eric 3rd
Rice, Master. Eugene 3rd
Rice, Master. George Hugh 3rd
Rice, Mrs. William (Margaret No 3rd
Riihivouri, Miss. Susanna Juhan 3rd
Rintamaki, Mr. Matti 3rd
Riordan, Miss. Johanna Hannah 3rd
Risien, Mr. Samuel Beard 3rd
Risien, Mrs. Samuel (Emma) 3rd
Robins, Mr. Alexander A 3rd
Robins, Mrs. Alexander A (Grace 3rd
Rogers, Mr. William John 3rd
Rommetvedt, Mr. Knud Paust 3rd
Rosblom, Miss. Salli Helena 3rd
Rosblom, Mr. Viktor Richard 3rd
Rosblom, Mrs. Viktor (Helena Wi 3rd
Roth, Miss. Sarah A 3rd
Rouse, Mr. Richard Henry 3rd
Rush, Mr. Alfred George John 3rd
Ryan, Mr. Edward 3rd
Ryan, Mr. Patrick 3rd
Saad, Mr. Amin 3rd
Saad, Mr. Khalil 3rd
Saade, Mr. Jean Nassr 3rd
Sadlier, Mr. Matthew 3rd
Sadowitz, Mr. Harry 3rd
Saether, Mr. Simon Sivertsen 3rd
Sage, Master. Thomas Henry 3rd
Sage, Master. William Henry 3rd
Sage, Miss. Ada 3rd
Sage, Miss. Constance Gladys 3rd
Sage, Miss. Dorothy Edith Doll 3rd
Sage, Miss. Stella Anna 3rd
Sage, Mr. Douglas Bullen 3rd
Sage, Mr. Frederick 3rd
Sage, Mr. George John Jr 3rd
Sage, Mr. John George 3rd
Sage, Mrs. John (Annie Bullen) 3rd
Salander, Mr. Karl Johan 3rd
Salkjelsvik, Miss. Anna Kristin 3rd
Salonen, Mr. Johan Werner 3rd
Samaan, Mr. Elias 3rd
Samaan, Mr. Hanna 3rd
Samaan, Mr. Youssef 3rd
Sandstrom, Miss. Beatrice Irene 3rd
Sandstrom, Mrs. Hjalmar (Agnes 3rd
Sandstrom, Miss. Marguerite Rut 3rd
Sap, Mr. Julius 3rd
Saundercock, Mr. William Henry 3rd
Sawyer, Mr. Frederick Charles 3rd
Scanlan, Mr. James 3rd
Sdycoff, Mr. Todor 3rd
Shaughnessy, Mr. Patrick 3rd
Sheerlinck, Mr. Jan Baptist 3rd
Shellard, Mr. Frederick William 3rd
Shine, Miss. Ellen Natalia 3rd
Shorney, Mr. Charles Joseph 3rd
Simmons, Mr. John 3rd
Sirayanian, Mr. Orsen 3rd
Sirota, Mr. Maurice 3rd
Sivic, Mr. Husein 3rd
Sivola, Mr. Antti Wilhelm 3rd
Sjoblom, Miss. Anna Sofia 3rd
Skoog, Master. Harald 3rd
Skoog, Master. Karl Thorsten 3rd
Skoog, Miss. Mabel 3rd
Skoog, Miss. Margit Elizabeth 3rd
Skoog, Mr. Wilhelm 3rd
Skoog, Mrs. William (Anna Bernh 3rd
Slabenoff, Mr. Petco 3rd
Slocovski, Mr. Selman Francis 3rd
Smiljanic, Mr. Mile 3rd
Smith, Mr. Thomas 3rd
Smyth, Miss. Julia 3rd
Soholt, Mr. Peter Andreas Lauri 3rd
Somerton, Mr. Francis William 3rd
Spector, Mr. Woolf 3rd
Spinner, Mr. Henry John 3rd
Staneff, Mr. Ivan 3rd
Stankovic, Mr. Ivan 3rd
Stanley, Miss. Amy Zillah Elsie 3rd
Stanley, Mr. Edward Roland 3rd
Storey, Mr. Thomas 3rd
Stoytcheff, Mr. Ilia 3rd
Strandberg, Miss. Ida Sofia 3rd
Stranden, Mr. Juho 3rd
Strilic, Mr. Ivan 3rd
Strom, Miss. Telma Matilda 3rd
Strom, Mrs. Wilhelm (Elna Matil 3rd
Sunderland, Mr. Victor Francis 3rd
Sundman, Mr. Johan Julian 3rd
Sutehall, Mr. Henry Jr 3rd
Svensson, Mr. Johan 3rd
Svensson, Mr. Johan Cervin 3rd
Svensson, Mr. Olof 3rd
Tenglin, Mr. Gunnar Isidor 3rd
Theobald, Mr. Thomas Leonard 3rd
Thomas, Master. Assad Alexander 3rd
Thomas, Mr. Charles P 3rd
Thomas, Mr. John 3rd
Thomas, Mr. Tannous 3rd
Thomas, Mrs. Alexander (Thamine 3rd
Thomson, Mr. Alexander Morrison 3rd
Thorneycroft, Mr. Percival 3rd
Thorneycroft, Mrs. Percival (Fl 3rd
Tikkanen, Mr. Juho 3rd
Tobin, Mr. Roger 3rd
Todoroff, Mr. Lalio 3rd
Tomlin, Mr. Ernest Portage 3rd
Torber, Mr. Ernst William 3rd
Torfa, Mr. Assad 3rd
Tornquist, Mr. William Henry 3rd
Toufik, Mr. Nakli 3rd
Touma, Master. Georges Youssef 3rd
Touma, Miss. Maria Youssef 3rd
Touma, Mrs. Darwis (Hanne Youss 3rd
Turcin, Mr. Stjepan 3rd
Turja, Miss. Anna Sofia 3rd
Turkula, Mrs. (Hedwig) 3rd
van Billiard, Master. James Wil 3rd
van Billiard, Master. Walter Jo 3rd
van Billiard, Mr. Austin Blyler 3rd
Van Impe, Miss. Catharina 3rd
Van Impe, Mr. Jean Baptiste 3rd
Van Impe, Mrs. Jean Baptiste (R 3rd
van Melkebeke, Mr. Philemon 3rd
Vande Velde, Mr. Johannes Josep 3rd
Vande Walle, Mr. Nestor Cyriel 3rd
Vanden Steen, Mr. Leo Peter 3rd
Vander Cruyssen, Mr. Victor 3rd
Vander Planke, Miss. Augusta Ma 3rd
Vander Planke, Mr. Julius 3rd
Vander Planke, Mr. Leo Edmondus 3rd
Vander Planke, Mrs. Julius (Eme 3rd
Vartanian, Mr. David 3rd
Vendel, Mr. Olof Edvin 3rd
Vestrom, Miss. Hulda Amanda Ado 3rd
Vovk, Mr. Janko 3rd
Waelens, Mr. Achille 3rd
Ware, Mr. Frederick 3rd
Warren, Mr. Charles William 3rd
Webber, Mr. James 3rd
Wenzel, Mr. Linhart 3rd
Whabee, Mrs. George Joseph (Sha 3rd
Widegren, Mr. Carl/Charles Pete 3rd
Wiklund, Mr. Jakob Alfred 3rd
Wiklund, Mr. Karl Johan 3rd
Wilkes, Mrs. James (Ellen Needs 3rd
Willer, Mr. Aaron (Abi Weller 3rd
Willey, Mr. Edward 3rd
Williams, Mr. Howard Hugh Harr 3rd
Williams, Mr. Leslie 3rd
Windelov, Mr. Einar 3rd
Wirz, Mr. Albert 3rd
Wiseman, Mr. Phillippe 3rd
Wittevrongel, Mr. Camille 3rd
Yasbeck, Mr. Antoni 3rd
Yasbeck, Mrs. Antoni (Selini Al 3rd
Youseff, Mr. Gerious 3rd
Yousif, Mr. Wazli 3rd
Yousseff, Mr. Gerious 3rd
Zabour, Miss. Hileni 3rd
Zabour, Miss. Thamine 3rd
Zakarian, Mr. Mapriededer 3rd
Zakarian, Mr. Ortin 3rd
Zimmerman, Mr. Leo 3rd
A single object matching 'Titanic' was found
It was found in the following places
package:datasets
with value
, , Age = Child, Survived = No
Sex
Class Male Female
1st 0 0
2nd 0 0
3rd 35 17
Crew 0 0
, , Age = Adult, Survived = No
Sex
Class Male Female
1st 118 4
2nd 154 13
3rd 387 89
Crew 670 3
, , Age = Child, Survived = Yes
Sex
Class Male Female
1st 5 1
2nd 11 13
3rd 13 14
Crew 0 0
, , Age = Adult, Survived = Yes
Sex
Class Male Female
1st 57 140
2nd 14 80
3rd 75 76
Crew 192 20
Table
A table can be a vector, matrix or array with class table. For many purposes it works like a vector, matrix or array
, , Age = Child, Survived = No
Sex
Class Male Female
1st 0 0
2nd 0 0
3rd 35 17
Crew 0 0
, , Age = Adult, Survived = No
Sex
Class Male Female
1st 118 4
2nd 154 13
3rd 387 89
Crew 670 3
, , Age = Child, Survived = Yes
Sex
Class Male Female
1st 5 1
2nd 11 13
3rd 13 14
Crew 0 0
, , Age = Adult, Survived = Yes
Sex
Class Male Female
1st 57 140
2nd 14 80
3rd 75 76
Crew 192 20
32 x 5 data.frame (27 rows omitted)
Class Sex Age Survived Freq
[f] [f] [f] [f] [n]
1 1st Male Child No 0
2 2nd Male Child No 0
3 3rd Male Child No 35
. . .
31 3rd Female Adult Yes 76
32 Crew Female Adult Yes 20
Error in `[.data.frame`(data, , idvar): undefined columns selected
[1] "table"
tt <- array(1:240,c(2,3,4,5,2))
dimnames(tt) <- list(
a=letters[1:2],
b=letters[1:3],
c=letters[1:4],
d=letters[1:5],
e=letters[1:2])
barchart(tt)
Error in barchart(tt): could not find function "barchart"
dd <- read.csv(strip.white = T, text=
'
sex ,prog ,year ,age ,pass
male ,a ,1 ,18 ,yes
male ,a ,1 ,18 ,yes
male ,b ,2 ,19 ,yes
female ,a ,1 ,19 ,no
male ,a ,1 ,20 ,no
female ,a ,3 ,21 ,no
male ,b ,1 ,22 ,yes
male ,a ,2 ,23 ,yes
female ,a ,1 ,24 ,no
male ,b ,1 ,25 ,no
male ,a ,3 ,26 ,yes
')
dd
sex prog year age pass
1 male a 1 18 yes
2 male a 1 18 yes
3 male b 2 19 yes
4 female a 1 19 no
5 male a 1 20 no
6 female a 3 21 no
7 male b 1 22 yes
8 male a 2 23 yes
9 female a 1 24 no
10 male b 1 25 no
11 male a 3 26 yes
prog year sex_yes age_yes sex_no age_no
1 a 1 male 18 female 19
2 a 2 male 23 <NA> NA
3 a 3 male 26 female 21
4 b 1 male 22 male 25
5 b 2 male 19 <NA> NA
prog sex_yes year_yes age_yes sex_no year_no age_no
1 a male 1 18 female 1 19
2 b male 2 19 male 1 25
prog sex_yes year_yes age_yes sex_no year_no age_no
1 a male 1 18 female 1 19
2 b male 2 19 male 1 25
sex prog year age_yes age_no
1 female a 1 NA 19
2 female a 3 NA 21
3 male a 1 18 20
4 male a 2 23 NA
5 male a 3 26 NA
6 male b 1 22 25
7 male b 2 19 NA
## Aggregating data ####
sex prog year Freq
female/a/1 female a 1 2
female/a/3 female a 3 1
male/a/1 male a 1 3
male/a/2 male a 2 1
male/a/3 male a 3 1
male/b/1 male b 1 2
male/b/2 male b 2 1
sex prog year Freq age
female/a/1 female a 1 2 21.50000
female/a/3 female a 3 1 21.00000
male/a/1 male a 1 3 18.66667
male/a/2 male a 2 1 23.00000
male/a/3 male a 3 1 26.00000
male/b/1 male b 1 2 23.50000
male/b/2 male b 2 1 19.00000
sex prog year Freq age
female/a/1 female a 1 2 21.50000
female/a/3 female a 3 1 21.00000
male/a/1 male a 1 3 18.66667
male/a/2 male a 2 1 23.00000
male/a/3 male a 3 1 26.00000
male/b/1 male b 1 2 23.50000
male/b/2 male b 2 1 19.00000
dl <- read.csv(strip.white = T, text =
'
id, time, val, invar
1,1,1,male
1,1,2,male
1,2,3,male
1,3,4,male
2,2,5,female
2,4,6,female
3,1,7,male
3,2,8,male
3,3,9,male
')
dl
id time val invar
1 1 1 1 male
2 1 1 2 male
3 1 2 3 male
4 1 3 4 male
5 2 2 5 female
6 2 4 6 female
7 3 1 7 male
8 3 2 8 male
9 3 3 9 male
id val_1 val_2 val_3 val_4 invar
1 1 1 3 4 NA male
2 2 NA 5 NA 6 female
3 3 7 8 9 NA male
sex prog year age_yes age_no
1 female a 1 NA 19
2 female a 3 NA 21
3 male a 1 18 20
4 male a 2 23 NA
5 male a 3 26 NA
6 male b 1 22 25
7 male b 2 19 NA
More on reshaping, etc. later