Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
32.4 38.4 36.9 38.0 29.6 40.1 36.1 40.4 25.6 38.9 36.3 39.0 39.7 39.0 36.6 40.0 31.1 37.6 40.9 40.1 38.4 39.4 34.1 39.9 35.9 39.3 32.0 41.6 39.1 39.6 35.4 39.1 31.7 39.4 40.3 40.7 36.0 38.7 37.3 38.7 35.3 40.0 37.0 40.9 36.4 40.0 27.3 38.0 32.0 40.0 41.0 41.4 30.1 39.3 33.0 39.9 29.7 40.7 34.4 39.4 34.3 41.3 37.7 37.9 28.9 39.0 31.4 40.0 33.1 38.4 40.1 39.3 39.3 41.0 36.3 40.7 37.0 39.9 33.7 37.3 36.6 37.7 37.3 38.9 34.1 41.7 29.6 38.3 33.4 39.9 36.6 38.9 34.4 42.0 30.4 39.9 36.9 39.1 41.0 38.6 37.6 41.0 36.1 40.4 41.0 41.4 38.7 38.4 39.0 40.9 37.0 40.1 39.6 39.9 33.4 40.9 36.3 40.7 34.3 40.0 38.9 41.3 36.7 41.4 26.0 40.7 31.6 40.4 27.0 39.0 36.6 40.1 30.1 39.3 37.0 41.3 33.9 39.1 37.1 40.9 34.1 39.9 35.1 40.3 35.9 40.4 31.9 40.4 36.9 40.4 39.0 38.1 41.4 37.6 41.9 39.7 30.3 38.7 30.4 40.4 29.1 41.1 40.9 39.6 35.9 40.9 28.6 40.3 37.6 40.9 29.7 40.1 35.9 40.6 33.0 39.7 38.3 41.1 32.7 41.6 31.4 41.0 25.4 38.9 37.7 40.3 38.7 41.4 39.9 39.9 38.4 40.0 40.7 37.9 33.0 39.9 32.0 39.7 30.7 40.4
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation