R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(26.7
+ ,28.4
+ ,26.6
+ ,27.2
+ ,23.3
+ ,24.2
+ ,28.5
+ ,28.1
+ ,38.7
+ ,39.1
+ ,34.4
+ ,32.7
+ ,32.4
+ ,33.1
+ ,16.7
+ ,18.6
+ ,28.3
+ ,27.5
+ ,17.8
+ ,19.5
+ ,21.5
+ ,22.8
+ ,18.9
+ ,17.2
+ ,17.6
+ ,18.5
+ ,19.5
+ ,20.8
+ ,29.0
+ ,30.5
+ ,26.4
+ ,27.5
+ ,31.3
+ ,32.4
+ ,36.7
+ ,35.6
+ ,23.8
+ ,22.0
+ ,18.6
+ ,18.1
+ ,19.8
+ ,18.3
+ ,25.8
+ ,26.7
+ ,26.3
+ ,26.6
+ ,22.9
+ ,22.6
+ ,38.9
+ ,38.5
+ ,34.5
+ ,33.0
+ ,24.1
+ ,23.0
+ ,29.6
+ ,29.9
+ ,34.4
+ ,35.3
+ ,31.0
+ ,30.5
+ ,23.5
+ ,22.2
+ ,21.6
+ ,21.8
+ ,21.3
+ ,21.1
+ ,18.3
+ ,19.3
+ ,27.3
+ ,26.6
+ ,18.8
+ ,20.6
+ ,31.7
+ ,31.8
+ ,30.3
+ ,25.9
+ ,28.4
+ ,22.0
+ ,16.9
+ ,28.3
+ ,25.8
+ ,27.6
+ ,33.1
+ ,18.0
+ ,21.5
+ ,27.2
+ ,21.4
+ ,25.7
+ ,22.7
+ ,34.7
+ ,21.5
+ ,29.7
+ ,24.1
+ ,23.3
+ ,25.7
+ ,21.7
+ ,18.6
+ ,22.1
+ ,28.7
+ ,22.6
+ ,25.8
+ ,21.0
+ ,25.7
+ ,22.5
+ ,21.5
+ ,27.0
+ ,22.0
+ ,19.2
+ ,37.0
+ ,27.5
+ ,25.0
+ ,26.7
+ ,35.8
+ ,25.9
+ ,27.4
+ ,21.6
+ ,24.0
+ ,22.2
+ ,27.5
+ ,38.5
+ ,18.9
+ ,24.0
+ ,23.3
+ ,37.3
+ ,29.4
+ ,26.7
+ ,27.9
+ ,23.8
+ ,47.3
+ ,23.5
+ ,37.2
+ ,22.3
+ ,31.4
+ ,22.8
+ ,27.5
+ ,21.4
+ ,44.7
+ ,27.2
+ ,35.7
+ ,26.6
+ ,29.4
+ ,19.6
+ ,23.1
+ ,33.3
+ ,22.0
+ ,21.6
+ ,20.6
+ ,31.0
+ ,21.3
+ ,32.0
+ ,35.9
+ ,37.0
+ ,30.2
+ ,28.4
+ ,22.8
+ ,25.9
+ ,26.7
+ ,26.4
+ ,23.1
+ ,26.7
+ ,27.3
+ ,24.3
+ ,28.0
+ ,28.5
+ ,22.2
+ ,32.9
+ ,20.2
+ ,25.7
+ ,31.5
+ ,29.9
+ ,31.0
+ ,26.6
+ ,32.7
+ ,37.9
+ ,20.5
+ ,25.9
+ ,28.2
+ ,29.0
+ ,34.3
+ ,36.5
+ ,28.3
+ ,40.8
+ ,41.1
+ ,27.3
+ ,30.2
+ ,31.5
+ ,23.3
+ ,25.1
+ ,23.4
+ ,27.6
+ ,26.4
+ ,24.9
+ ,22.2
+ ,38.0
+ ,29.9
+ ,19.1
+ ,34.6
+ ,19.5
+ ,24.0
+ ,27.5)
+ ,dim=c(2
+ ,100)
+ ,dimnames=list(c('PE'
+ ,'Non-PE')
+ ,1:100))
>  y <- array(NA,dim=c(2,100),dimnames=list(c('PE','Non-PE'),1:100))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par8 = 'TRUE'
> par7 = '0.95'
> par6 = '0.0'
> par5 = 'unpaired'
> par4 = 'T-Test'
> par3 = '2'
> par2 = '1'
> par1 = 'two.sided'
> ylab = 'Y-Axis Title'
> xlab = 'X-Axis Title'
> main = 'Boxplots Title'
> par8 <- 'TRUE'
> par7 <- '0.95'
> par6 <- '0.0'
> par5 <- 'unpaired'
> par4 <- 'T-Test'
> par3 <- '2'
> par2 <- '1'
> par1 <- 'two.sided'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, T-Tests (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_Tests%20to%20Compare%20Two%20Means.wasp/
> #Source of accompanying publication: 
> #
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.character(par4)
> par5 <- as.character(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> par8 <- as.logical(par8)
> if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
> x <- t(y)
> if(par8){
+ postscript(file="/var/wessaorg/rcomp/tmp/1oprb1335580216.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
+ dev.off()
+ }
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> if( par4 == 'Wilcoxon-Mann_Whitney'){
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'Wilcoxon Test',3,TRUE)
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'',1,TRUE)
+ a <- table.element(a,'Statistic',1,TRUE)
+ a <- table.element(a,'P-value',1,TRUE)
+ a <- table.row.end(a)
+ W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
+ a<-table.row.start(a)
+ a<-table.element(a,'Wilcoxon Test',1,TRUE)
+ a<-table.element(a,W$statistic[[1]])
+ a<-table.element(a,round(W$p.value, digits=5) )
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/2a2av1335580216.tab") 
+ }
> if( par4 == 'T-Test')
+ {
+ T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'T-Test',3,TRUE)
+ a <- table.row.end(a)
+ if(paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
+ a<-table.element(a,round(T$estimate, digits=5) )
+ a <- table.row.end(a)
+ }
+ if(!paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Mean1',1,TRUE)
+ a<-table.element(a,round(T$estimate[1], digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'Mean2',1,TRUE)
+ a<-table.element(a,round(T$estimate[2], digits=5) )
+ a <- table.row.end(a)
+ }
+ a <- table.row.start(a)
+ a <- table.element(a,'T Statistic',1,TRUE)
+ a<-table.element(a,round(T$statistic, digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'P-value',1,TRUE)
+ a<-table.element(a,round(T$p.value, digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'Lower Confidence Limit',1,TRUE)
+ a<-table.element(a,round(T$conf.int[1], digits=5) )
+ a <- table.row.end(a)
+ a<-table.row.start(a)
+ a <- table.element(a,'Upper Confidence Limit',1,TRUE)
+ a<-table.element(a,round(T$conf.int[2], digits=5) )
+ a <- table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3nmd61335580216.tab") 
+ }
> a<-table.start()
> a <- table.row.start(a)
> a <- table.element(a,'Standard Deviations',3,TRUE)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'Variable 1',1,TRUE)
> a<-table.element(a,round(sd(x[,par2], na.rm=TRUE), digits=5) )
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'Variable 2',1,TRUE)
> a<-table.element(a,round(sd(x[,par3], na.rm=TRUE), digits=5) )
> a <- table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4jkpi1335580216.tab") 
> 
> try(system("convert tmp/1oprb1335580216.ps tmp/1oprb1335580216.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.529   0.096   0.613