> install.packages("corpora", dependencies = TRUE)
 パッケージを ‘/usr/local/lib/R/3.4/site-library’ 中にインストールします 
 (‘lib’ が指定されていないため) 
 --- このセッションで使うために、CRAN のミラーサイトを選んでください --- 
Secure CRAN mirrors 
 1: 0-Cloud [https] 2: Algeria [https] 
 
* snip *
 
37: Italy (Padua) [https] 38: Japan (Tokyo) [https] 
39: Japan (Yonezawa) [https] 40: Malaysia [https] 

* snip *

63: (other mirrors) 

Selection: 38
 URL 'https://cran.ism.ac.jp/src/contrib/corpora_0.4-3.tar.gz' を試しています 
Content type 'application/x-gzip' length 1476200 bytes (1.4 MB)
==================================================
downloaded 1.4 MB

* installing *source* package ‘corpora’ ...
** パッケージ ‘corpora’ の解凍および MD5 サムの検証に成功しました 
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (corpora)

 ダウンロードされたパッケージは、以下にあります 
 ‘/private/var/folders/sr/wkn5l4_50ql50_lkt5x7glnw0000gn/T/RtmpbYy1x6/downloaded_packages’ 

> library(corpora)
> # データの準備
> data(BNCbiber)
> #先頭５行表示
> head(BNCbiber, 5)
 id f_01_past_tense f_02_perfect_aspect f_03_present_tense
1 A00 17.291833 9.177973 48.81617
2 A01 4.658562 5.794796 64.42450
3 A02 9.991898 10.532001 55.36052
4 A03 31.012396 10.875075 36.40385
5 A04 21.271745 5.927817 44.18504

* snip *

 f_67_neg_analytic
1 4.256451
2 7.953642
3 2.160410
4 3.087415
5 4.445863

> BNCbiber <- read.csv(file.choose(), header = TRUE, row.names = 1)
Enter file name: BNCbiber.csv

> hist(BNCbiber[, 2])

> class(BNCbiber)
[1] "data.frame"
> hist(BNCbiber$f_01_past_tense)
 hist.default(BNCbiber$f_01_past_tense) でエラー: 
 'x' は数値でなければなりません 

> hist(BNCbiber[, 2], main = "past tense", xlab = "frequency", ylab = "number of texts")

> hist(BNCbiber[, 2], main = "past tense", xlab = "frequency", ylab = "number of texts", col = "grey")
> colors()
 [1] "white" "aliceblue" "antiquewhite" 
 [4] "antiquewhite1" "antiquewhite2" "antiquewhite3" 

* snip *

[655] "yellow3" "yellow4" "yellowgreen" 
> 

> boxplot(BNCbiber[, 2], range = 0)
> boxplot.stats(BNCbiber[, 2])
$stats
[1] 0.00000 13.18192 23.05965 40.51057 81.43130

$n
[1] 4048

$conf
[1] 22.38099 23.73832

$out
 [1] 84.40570 86.11713 95.10344 85.65001 82.48114 81.59617 83.41675
 [8] 83.39933 105.12367 89.28531 82.40840 91.68170 85.50300 96.74923
[15] 97.96977 83.57266 86.96226 81.57343 84.21053 81.76729 84.16660
[22] 82.94931 82.37352 85.82061 90.07165 83.43257 92.57199 86.14513
[29] 85.00508 89.62776 85.30711 87.54826 81.92417 85.92392 82.34204
[36] 89.39865 84.47239 86.19764 87.79622 86.32226 84.11808 83.06354
[43] 86.74815 84.78993 84.08948 86.21333 93.75665 91.91598 93.60701
[50] 96.27018 84.69604 84.55379 97.95028 83.12163 91.69214 81.83542
[57] 85.83523 83.16462 91.10896 83.17136 83.27502 85.52245 82.89347
[64] 81.52762 81.84273 85.71303 82.36674 87.45139 84.98643 84.10429

> boxplot(BNCbiber[, 2], range = 0, main = "past tense", col = "grey")
> boxplot(BNCbiber[, 2], main = "past tense", col = "grey")

> pym <- read.csv(file.choose(), header = TRUE, row.names = 1)
Enter file name: pym.csv

> head(pym, 5)
 syl let imag conc assoc freq
time 1 4 4.13 2.47 7.00 high
life 1 4 4.07 2.96 6.78 high
home 1 4 6.50 6.25 6.88 high
church 1 6 6.63 6.59 7.52 high
mind 1 4 3.03 2.60 5.88 high
> boxplot(pym[, 2] ~ pym[, 6], names = c("high", "low"), col = "grey")

> boxplot(pym[, 2] ~ pym[, 6], names = c("high", "low"), col = "grey", notch = TRUE)

> install.packages("beeswarm", dependencies = TRUE)
 パッケージを ‘/usr/local/lib/R/3.4/site-library’ 中にインストールします 
 (‘lib’ が指定されていないため) 
 URL 'https://cran.ism.ac.jp/src/contrib/beeswarm_0.2.3.tar.gz' を試しています 
Content type 'application/x-gzip' length 19850 bytes (19 KB)
==================================================
downloaded 19 KB

* installing *source* package ‘beeswarm’ ...
** パッケージ ‘beeswarm’ の解凍および MD5 サムの検証に成功しました 
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (beeswarm)

 ダウンロードされたパッケージは、以下にあります 
 ‘/private/var/folders/sr/wkn5l4_50ql50_lkt5x7glnw0000gn/T/RtmpbYy1x6/downloaded_packages’ 
> library(beeswarm)
> boxplot(pym[, 2] ~ pym[, 6], names = c("high", "low"), col = "grey")
> beeswarm(pym[, 2] ~ pym[, 6], col = "black", pch = 16, add = TRUE)

> install.packages("vioplot", dependencies = TRUE)
 パッケージを ‘/usr/local/lib/R/3.4/site-library’ 中にインストールします 
 (‘lib’ が指定されていないため) 
 依存対象 (dependency) ‘sm’ もインストールします 

 URL 'https://cran.ism.ac.jp/src/contrib/sm_2.2-5.4.tar.gz' を試しています 
Content type 'application/x-gzip' length 256311 bytes (250 KB)
==================================================
downloaded 250 KB

 URL 'https://cran.ism.ac.jp/src/contrib/vioplot_0.2.tar.gz' を試しています 
Content type 'application/x-gzip' length 3801 bytes
==================================================
downloaded 3801 bytes

* installing *source* package ‘sm’ ...
** パッケージ ‘sm’ の解凍および MD5 サムの検証に成功しました 
** libs
clang -I/usr/local/Cellar/r/3.4.3_1/lib/R/include -DNDEBUG -I/usr/local/opt/gettext/include -I/usr/local/opt/readline/include -I/usr/local/include -fPIC -g -O2 -c fgamma.c -o fgamma.o
In file included from fgamma.c:1:
/usr/local/Cellar/r/3.4.3_1/lib/R/include/Rmath.h:45:11: fatal error: 'math.h'
 file not found
# include <math.h>
 ^~~~~~~~
1 error generated.
make: *** [fgamma.o] Error 1
ERROR: compilation failed for package ‘sm’
* removing ‘/usr/local/lib/R/3.4/site-library/sm’
ERROR: dependency ‘sm’ is not available for package ‘vioplot’
* removing ‘/usr/local/lib/R/3.4/site-library/vioplot’

 ダウンロードされたパッケージは、以下にあります 
 ‘/private/var/folders/sr/wkn5l4_50ql50_lkt5x7glnw0000gn/T/RtmpbYy1x6/downloaded_packages’ 
 警告メッセージ: 
1: install.packages("vioplot", dependencies = TRUE) で: 
 パッケージ ‘sm’ のインストールは、ゼロでない終了値をもちました 
2: install.packages("vioplot", dependencies = TRUE) で: 
 パッケージ ‘vioplot’ のインストールは、ゼロでない終了値をもちました