R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(11,1,11,1,11,1,12,0,11,1,10,2,9,3,12,0,9,3,9,3,12,0,9,3,12,0,12,0,9,3,11,1,9,3,11,1,11,1,12,0,11,1,12,0,12,0,12,0,12,0,7,5,9,3,12,0,4,8,10,2,12,0,12,0,6,6,12,0,10,2,12,0,9,3,12,0,9,3,12,0,10,2,12,0,11,1,12,0,12,0,11,1,7,5,12,0,12,0,12,0,10,2,8,4,8,4,10,2,12,0,12,0,12,0,12,0,10,2,12,0,9,3,9,3,12,0,12,0,9,3,11,1,11,1,10,2,10,2,12,0,10,2,9,3,9,3,11,1,12,0,11,1,11,1,12,0,12,0,11,1,12,0,10,2,12,0,4,8,11,1,11,1,12,0,11,1,12,0,9,3),dim=c(2,90),dimnames=list(c('part1cat','part1noncat
'),1:90))
>  y <- array(NA,dim=c(2,90),dimnames=list(c('part1cat','part1noncat
'),1:90))
>  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 = 'paired'
> par4 = 'T-Test'
> par3 = '2'
> par2 = '1'
> par1 = 'two.sided'
> ylab = 'frequency'
> xlab = 'Response'
> main = 'Language and communication test data'
> par8 <- 'TRUE'
> par7 <- '0.95'
> par6 <- '0.0'
> par5 <- 'paired'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_Tests%20to%20Compare%20Two%20Means.wasp/
> #Source of accompanying publication: 
> #
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.character(par4)
> par5 <- as.character(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> par8 <- as.logical(par8)
> if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
> x <- t(y)
> if(par8){
+ postscript(file="/var/fisher/rcomp/tmp/1kdzp1354641158.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
+ dev.off()
+ }
null device 
          1 
Warning messages:
1: In axis(side = 1, at = 1:2, labels = c("part1cat", "part1noncat\r" :
  font width unknown for character 0xd
2: In axis(side = 1, at = 1:2, labels = c("part1cat", "part1noncat\r" :
  font width unknown for character 0xd
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> if( par4 == 'Wilcoxon-Mann_Whitney'){
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'Wilcoxon Test',3,TRUE)
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'',1,TRUE)
+ a <- table.element(a,'Statistic',1,TRUE)
+ a <- table.element(a,'P-value',1,TRUE)
+ a <- table.row.end(a)
+ W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
+ a<-table.row.start(a)
+ a<-table.element(a,'Wilcoxon Test',1,TRUE)
+ a<-table.element(a,W$statistic[[1]])
+ a<-table.element(a,round(W$p.value, digits=5) )
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/fisher/rcomp/tmp/2pb1f1354641158.tab") 
+ }
> if( par4 == 'T-Test')
+ {
+ T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'T-Test',3,TRUE)
+ a <- table.row.end(a)
+ if(paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
+ a<-table.element(a,round(T$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/fisher/rcomp/tmp/3gms31354641158.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/fisher/rcomp/tmp/490kw1354641158.tab") 
> 
> try(system("convert tmp/1kdzp1354641158.ps tmp/1kdzp1354641158.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.847   0.239   1.070