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Data X:
22.8 24.8 35.9 34.5 27.5 25.8 19.4 20.5 18.6 19.5 24.7 25.3 22.6 19.9 30.6 29.4 21.9 19.9 23.5 21.3 19.5 22.2 24.3 24.2 19.8 18.7 16.4 14.0 29.7 29.1 24.8 25.1 17.5 17.0 35.6 36.1 29.0 28.8 19.7 18.0 21.0 18.9 38.7 40.8 34.3 32.5 22.3 21.1 19.2 17.0 22.7 20.2 28.7 26.6 24.6 22.6 24.3 26.8 26.0 26.3 18.9 20.7 35.6 37.0 26.7 25.8 21.0 19.7 22.1 20.8 22.5 20.7 36.8 34.3 26.8 18.6 29.4 29.8 25.4 28.6 20.8 29.0 25.6 27.5 17.7 38.0 19.7 21.1 21.4 22.8 25.9 22.6 33.1 19.3 23.0 19.6 19.2 20.8 17.8 28.2 29.6 23.2 32.6 31.4 18.2 20.0 22.5 20.4 28.6 19.9 22.7 27.9 29.7 30.3 20.6 19.0 19.1 22.1 34.2 29.7 28.7 25.0 30.0 31.3 29.3 22.0 31.0 19.0 31.5 31.2 36.8 31.3 30.5 32.7 35.3 19.1 31.1 31.6 31.1 35.7 25.5 29.0 22.9 30.4 13.7 31.7 16.6 21.9 28.2 23.1 31.0 23.3 19.3 25.8 20.7 25.4 19.3 30.1 31.3 27.4 38.7 26.6 24.1 25.9 21.4 22.1 20.4 30.0 29.4 22.1 32.7 23.8 31.0 25.0 25.0 23.6 14.9 22.0 31.6 26.9 30.7 28.7 28.5 32.1 21.0 33.6 30.0 29.4 33.2 33.7 31.7 31.7 30.2 26.1 22.6 30.0 32.2 18.4 29.7 18.5
Names of X columns:
PE Non-PE
Alternative
two.sided
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Test to Perform
T-Test
Wilcoxon-Mann_Whitney
T-Test
Are observations paired?
unpaired
unpaired
paired
Value of Difference of Means to Test
Confidence Level to test
(?)
Display a Boxplot
TRUE
TRUE
FALSE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par8 <- 'TRUE' par7 <- '0.95' par6 <- '0.0' par5 <- 'unpaired' par4 <- 'T-Test' par3 <- '2' par2 <- '1' par1 <- 'two.sided' 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){ bitmap(file='test1.png') (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2)) dev.off() } load(file='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='mytable.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='mytable.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='mytable1.tab')
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R Server
Big Analytics Cloud Computing Center
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