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(61,77,61,70,59,76,50,77,61,73,60,71,41,64,71,75,52,101,63,75,54,124,53,66,59,70,55,100,56,73,75,76,57,65,75,69,59,86,63,67,62,80,51,80,61,82,54,85,57,73,50,107,55,64,64,74,60,70,52,58,55,69,56,71,53,76,59,98,56,76,56,66,57,70,50,70,52,56,55,61,47,66,45,68,63,86,51,71,51,87,55,101,64,63,55,90,57,79,77,67,62,83,68,94,55,76,45,66,68,77,44,73,61,89,53,84,47,91,53,83,62,68,53,86,55,58,55,68,66,58,55,95,55,75,55,61,67,64,58,68,47,67,45,82,44,68,56,78,50,70,54,75,52,93,58,86,59,71,62,80,66,91,50,81),dim=c(2,82),dimnames=list(c('W_rpWT','M_rpWT'),1:82))
>  y <- array(NA,dim=c(2,82),dimnames=list(c('W_rpWT','M_rpWT'),1:82))
>  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 = 'Reported weight'
> xlab = 'Differences'
> main = 'Women and mens reported weight'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_Tests%20to%20Compare%20Two%20Means.wasp/
> #Source of accompanying publication: 
> #
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.character(par4)
> par5 <- as.character(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> par8 <- as.logical(par8)
> if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
> x <- t(y)
> if(par8){
+ postscript(file="/var/wessaorg/rcomp/tmp/1zv9l1338544888.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
+ dev.off()
+ }
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> if( par4 == 'Wilcoxon-Mann_Whitney'){
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'Wilcoxon Test',3,TRUE)
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'',1,TRUE)
+ a <- table.element(a,'Statistic',1,TRUE)
+ a <- table.element(a,'P-value',1,TRUE)
+ a <- table.row.end(a)
+ W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
+ a<-table.row.start(a)
+ a<-table.element(a,'Wilcoxon Test',1,TRUE)
+ a<-table.element(a,W$statistic[[1]])
+ a<-table.element(a,round(W$p.value, digits=5) )
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/2lmhj1338544888.tab") 
+ }
> if( par4 == 'T-Test')
+ {
+ T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'T-Test',3,TRUE)
+ a <- table.row.end(a)
+ if(paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
+ a<-table.element(a,round(T$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/3e4f41338544888.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/44k6d1338544888.tab") 
> 
> try(system("convert tmp/1zv9l1338544888.ps tmp/1zv9l1338544888.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.555   0.093   0.675