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Data X:
11 1 7 5 11 1 7 5 11 1 8 4 12 0 6 6 11 1 11 1 10 2 11 1 9 3 5 7 12 0 11 1 9 3 6 6 9 3 8 4 12 0 11 1 9 3 8 4 12 0 10 2 12 0 7 5 9 3 7 5 11 1 11 1 9 3 8 4 11 1 10 2 11 1 7 5 12 0 11 1 11 1 8 4 12 0 11 1 12 0 10 2 12 0 7 5 12 0 10 2 7 5 4 8 9 3 9 3 12 0 10 2 4 8 8 4 10 2 10 2 12 0 9 3 12 0 10 2 6 6 4 8 12 0 6 6 10 2 7 5 12 0 9 3 9 3 10 2 12 0 9 3 9 3 8 4 12 0 10 2 10 2 8 4 12 0 10 2 11 1 5 7 12 0 11 1 12 0 10 2 11 1 9 3 7 5 8 4 12 0 8 4 12 0 6 6 12 0 10 2 10 2 10 2 8 4 9 3 8 4 8 4 10 2 11 1 12 0 9 3 12 0 9 3 12 0 10 2 12 0 12 0 10 2 7 5 12 0 10 2 9 3 5 7 9 3 8 4 12 0 11 1 12 0 10 2 9 3 6 6 11 1 11 1 11 1 9 3 10 2 8 4 10 2 8 4 12 0 4 8 10 2 7 5 9 3 10 2 9 3 6 6 11 1 10 2 12 0 5 7 11 1 12 0 11 1 12 0 12 0 11 1 12 0 8 4 11 1 10 2 12 0 10 2 10 2 9 3 12 0 10 2 4 8 6 6 11 1 8 4 11 1 11 1 12 0 6 6 11 1 2 10 12 0 10 2 9 3 10 2
Names of X columns:
P1Cat P1Noncat P2Cat P2Noncat
Alternative
two.sided
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Test to Perform
Wilcoxon-Mann_Whitney
Wilcoxon-Mann_Whitney
T-Test
Are observations paired?
paired
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) if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE x <- t(y) 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 == 'Students T-Test') { a<-table.start() a <- table.row.start(a) a <- table.element(a,'Students T-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) T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6) a<-table.row.start(a) a<-table.element(a,'Students T-Test',1,TRUE) a<-table.element(a,round(T$statistic[[1]], digits=5) ) a<-table.element(a,round(T$p.value, digits=5) ) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') }
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Raw Output
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Computing time
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R Server
Big Analytics Cloud Computing Center
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