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1 R John Fox and Milan Bouchet-Valat Version R Fox 2005 R R Core Team, 2015 GUIR R R R R R R R R the Comprehensive R Archive Network (CRAN) R CRAN 6.4 R Windows R Rcmdr Mac OS X Linux Unix R OS R R < Windows R Rcmdr GUI R * 1 2 R R R Console library(rcmdr) Rcmdr R GUIWindows R R SDI *2 R Console R Fox(2005) jfox@mcmaster.ca R Rcmdr arakit@kansai-u.ac.jp *1 ( ) *2 R Windows MDIR Console R 1 SDIR Console R SDI R etc 1

4 R Windows R Rcmdr Mac OS X Linux Unix R OS R R <http://socserv.socsci.mcmaster.ca/jfox/misc/rcmdr/index.html><tinyurl.

2 1 2 *3 Windows 7 *4 Windows * 5 R R Console R R Console ˆ R GUI R R R *6 R 2 R R R 6.1 ˆ 2 ˆ 2 ˆ Graphics Device R R Rcmdr Rconsole R --sdi R MDI R *3 R R *4 ( ) Windows 8 *5 Rcmdr R Rcmdr Rcmdr Comprehensive R Archive Network (CRAN) < R CD-ROMWindows R GUI Rcmdr Rcmdr install.packages Rcmdr dependencies = TRUE Dirk Eddelbuettel Debian Linux $ apt-get install r-cran-rcmdr Rcmdr Linux Rcmdr Mac OS X Rcmdr tcltk X-Windows Tcl/Tk X-Windows R *6 R Console > R 2

Comprehensive R Archive Network (CRAN) <http://cran.r-project.org/> R CD-ROMWindows R GUI Rcmdr Rcmdr install.

3 1 Rcmdr R Console 2 R 3

4 Rcmdr Fox, 2007 Fox and Sá Carvalho, R 6.1 R R R * 7 Rcmdr R R R R R R R knitr knitr *7 R R Windows R dividers... 4

5 Rcmdr URL SPSS SAS Minitab STATA Excel Access dbase [32-bit Windows ] Excel [64-bit Windows ] () 5

6 Rcmdr F - 6

7 Rcmdr QQ 3 3 PDF/Postscript/EPS RGL 7

8 Rcmdr AIC BIC RESET QQ 8

9 Rcmdr F F F F F 9

10 Rcmdr

11 Rcmdr Rcmdr Rcmdr R.app OS X app nap Mac OS X maverics R R Introduction to the R Commander(English version) R R R R R R ˆ 2 R 2 *8 * 9 * 10 2 R ˆ R GUI R Ctrl-r * 11 Ctrl-Tab R Ctrl-a Ctrl-s *8 10,000 R R *9 David Firth relimp Firth, 2011 showdata 100 R View R View 0 R *10 R Fox, 2777; Fox and Carvalho, 2012 *11 Ctrl Control r 11

version) R R R R R R ˆ 2 R 2 *8 * 9 * 10 2 R ˆ R GUI R Ctrl-r * 11 Ctrl-Tab R

12 ˆ R R Windows R Console ˆ Rcmdr R Console R R R... R R * 12 3 R * 13 1 R R ˆ R... ˆ ascii URL Minitab SPSS SAS Stata32 Windows Excel Access dbase Excel ˆ R 3.1 Nations.txt * 14 TFR contraception infant.mortality GDP region Afghanistan 6.90 NA Asia Albania 2.60 NA Europe Algeria Africa American-Samoa NA NA 11 NA Oceania Andorra NA NA NA NA Europe *12... GUI *13 *14 Rcmdr etc

txt * 14 TFR contraception infant.mortality GDP region Afghanistan 6.90 NA 154 2848 Asia Albania 2.

13 Angola 6.69 NA Africa Antigua NA Americas Argentina 2.62 NA Americas Armenia Europe Australia Oceania... ˆ 1 TFR 1 contraception ( ) infant.mortality 1000 GDP 1 US region ˆ R read.table ˆ R NA not available ˆ TFR contraception infant.mortality GDP region R region R Nations.txt R R URL... 3 URL Nations 3 13

.. ˆ 1 TFR 1 contraception ( ) infant.mortality 1000 GDP 1 US region ˆ 2 1 5 6 R read.

14 R. 0 9 R nations Nations NATIONS OK 4 Nations.txt R 5 R 5 Nations read.table showdatar R relimp library read.table R R R R.txt ascii URL... Excel.csv R Excel Moore (2000) Problem

15 5 ˆ R... Problem2.44 OK R ˆ 2 ˆ var1 var2 NA NA 6 ˆ 2 NA some postsecondary "less than HS" ˆ R 6 15

16 3.3 R R * 15 7 * 16 R 7 car Prestige 4 R GUI R Nations Moore (2000) 5 car Prestige R 8 TFR contraception infant.mortality GDP 1 3 region 10 *15 R *16 R 16

17 R R region infant.mortality * OK > numsummary(nations[,"infant.mortality"], statistics=c("mean", "sd", "IQR", + "quantiles"), quantiles=c(0,.25,.5,.75,1)) mean sd IQR 0% 25% 50% 75% 100% n NA sd IQR n NA R 9 OK * 18 * Windows Shift Ctrl *18 Mac OS X Windows 17

5,.75,1)) mean sd IQR 0% 25% 50% 75% 100% n NA 43.47761 38.

18 9 10 R R OK R OK Nations 1 region OK... region 12 2 GDP infant.mortality OK > numsummary(nations[,c("gdp", "infant.mortality")], groups=nations$region, + statistics=c("mean", "sd", "IQR", "quantiles"), quantiles=c(0,.25,.5,.75,1)) Variable: GDP mean sd IQR 0% 25% 50% 75% 100% n NA Africa

mortality")], groups=nations$region, + statistics=c("mean", "sd", "IQR", "quantiles"),

19 Americas Asia Europe Oceania Variable: infant.mortality mean sd IQR 0% 25% 50% 75% 100% n NA Africa Americas Asia Europe Oceania R region 2 R R infant.mortality OK 14 19

mortality mean sd IQR 0% 25% 50% 75% 100% n NA Africa 85.27273 35.188095 50.0 7 61.00 85.0 111.00 169 55 0 Americas 25.60000 17.439713 24.0 6 12.00 21.5 36.00 82 40 1 Asia 45.

20 1 * Nations infant.mortality *19 Windows Windows R Page Up Page Down Windows RGL Fox, 2003 Fox and Hong

21 5 R Venables and Ripley (2002) 2 nnet MASS 15 * Prestige Prestige Prestige 3.3 car 15 car Prestige ˆ type * 21 ˆ ˆ ˆ log(income) Model formula help *20 R R Introduction to R R Console PDF *21 TRUE FALSE male female R 21

22 R ˆ LinearModel.1 R ˆ R lm subset 1 TRUE FALSE type!= "prof" Prestige prof ˆ Weights WLS OK LinearModel.1 > LinearModel.1 <- lm(prestige ~ (education + log(income ))*type, data=prestige) > summary(linearmodel.1) Call: lm(formula = prestige ~ (education + log(income)) * type, data = Prestige) Residuals: Min 1Q Median 3Q Max Coefficients: Estimate Std. Error t value Pr(> t ) (Intercept) e-08 *** education * log(income) e-08 *** type[t.prof] ** type[t.wc] education:type[t.prof] education:type[t.wc] * log(income):type[t.prof] * log(income):type[t.wc] Signif. codes: 0 *** ** 0.01 * Residual standard error: on 89 degrees of freedom (4 observations deleted due to missingness) Multiple R-squared: 0.871,Adjusted R-squared: F-statistic: on 8 and 89 DF, p-value: < 2.2e-16 22

23 Type II > Anova(LinearModel.1, type="ii") Anova Table (Type II tests) Response: prestige Sum Sq Df F value Pr(>F) education e-07 *** log(income) e-09 *** type ** education:type log(income):type * Residuals Signif. codes: 0 *** ** 0.01 * R R R * R R R HTML R R * HTML R R R R *22 R knitr LaTeX Xie, 2013 PDF LaTeX Rcmdr use.knitr TRUE *23 23

24 * 24 {r}r R R R R {r echo=false}) R knitr Xie R --- title: "Replace with Main Title" author: "Your Name" date: "AUTOMATIC" --- {r echo=false, message=false} # include this code chunk as-is to set options knitr::opts_chunk$set(comment=na, prompt=true) library(rcmdr) library(car) library(rcmdrmisc) {r} Nations <- read.table("c:/r/r-3.0.1patched/library/rcmdr/etc/nations.txt", header=true, sep="", na.strings="na", dec=".", strip.white=true)... {r} data(prestige, package="car") *24 R 24

25 ... Let us regress occupational prestige on the education and income levels of the occupations, transforming income to linearize its relationship to prestige: {r} LinearModel.1 <- lm(prestige ~ (education + log(income))*type, data=prestige) summary(linearmodel.1) {r} Anova(LinearModel.1, type="ii") Your Name Replace with Main Title R {r} R * *this is important* Let us regress occupational prestige... prestige... R R HTML HTML Word PDF * 25 HTML PDF PDF Word R R ( 17 R R R R R Ctrl-E R HTML OK R 6.2 R R R R *25 Word Pandoc PDF LATEX 25

26 17 R R Word OpenOffice Writer Windows WordPad Ctrl-c Ctrl-v 1 R Courier New R Ctrl-v Ctrl-w R * 26 R R R R 6.3 R R *26 Windows 26

27 R R R R Windows Mac OS X RStudio < * R R R R CRAN R R R R Rcmdr R 6.5 R R R R R R Console R R [1] Firth, D. (2011). relimp: Relative Contribution of Effects in a Regression Model. R package version [2] Fox, J. (2003). Effect displays in R for generalised linear models. Journal of Statistical Software, 8(15):1-27. [3] Fox, J. (2005). The R Commander: A basic-statistics graphical user interface to R. Journal of Statistical Software, 19(9):1-42. [4] Fox, J. (2007). Extending the Rcmdr by plug-in Packages. R News, 7(3): [5] Fox, J. and Sá Carvalho, M. (2012). The RcmdrPlugin.survival package: Extending the R Commander to survival analysis. Journal of Statistical Software, 49(7):1-32. [6] Moore, D. S. (2000). The Basic Practice of Statistics. Freeman, New York, second edition. [7] R Core Team (2015). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. [8] Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics with S. Springer, New York, fourth edition. [9] Xie, Y. (2013). knitr: A general-purpose package for dynamic report generation in R. R package version 1.2. *27 R RStudio R RStudio R RStudio 27

R John Fox R R R Console library(rcmdr) Rcmdr R GUI Windows R R SDI 1 R Console R 1 2 Windows XP Windows 2 R R Console R ˆ R

R John Fox R R R Console library(rcmdr) Rcmdr R GUI Windows R R SDI *1 R Console R 1 2 Windows XP Windows * 2 R R Console R ˆ R R John Fox 2006 8 26 2008 8 28 1 R R R Console library(rcmdr) Rcmdr R GUI Windows R R SDI *1 R Console R 1 2 Windows XP Windows * 2 R R Console R ˆ R GUI R R R Console > ˆ 2 ˆ Fox(2005) jfox@mcmaster.ca