x <- array(list(41.81,46.12,40.25,50.9,50.37,47.32,43.12,47.05,40.46,49.55,42.89,48.33,54.29,44.49,56.13,51.64,51.76,46.55,42.92,54.79,45.58,47.51,47.37,50.83,48.27,48.41,47.02,53.83,52.23,52.95,64.02,56.88,52.36,48.5,53.97,53.29,60.45,54.06,47.76,56.66,47.44,48.88,48.35,44.46,49.21,49.63,52.12,49.12,44.39,56.88,48.89,46.89,54.04,55.97,40.31,50.42,50.51,52.67,52.33,51.28,44.52,55.89,55.59,54.55,54.27,48.8,49.18,52.39,40.75,56.8,45.36,46.69,43.54,44.01,48.82,50.51,54.05,56.01,57.47,61.45),dim=c(2,40),dimnames=list(c('Standard','New-Method'),1:40))
 y <- array(NA,dim=c(2,40),dimnames=list(c('Standard','New-Method'),1:40))
 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'
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/1wgf21383655135.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()
}

#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/2gmni1383655135.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/33qzt1383655135.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]), 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]), digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/fisher/rcomp/tmp/4sg8g1383655135.tab") 

try(system("convert tmp/1wgf21383655135.ps tmp/1wgf21383655135.png",intern=TRUE))