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Data X:
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
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
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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