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Data X:
70.8 66.67 69.6 66.33 69.87 64.33 67.47 64 67.6 63.33 67.13 61.33 66.27 64.67 66.73 63 68.07 60.67 67.8 63.67 64.8 60.67 64.6 61.67 64.2 62.33 64.2 60.33 63.67 59.67 61 60.33 59.67 59.33 59.67 58.67 59.8 58.67 60.73 59.33 59.4 57.33 58.07 59.33 57.47 56 70.73 53.67 72.87 58.67 66 49.33 66.07 71.33 66 70.33 66.27 69 64 66 63.67 66 63.73 63.33 63.33 65.33 63.53 64.33 63.53 64 62.87 61.67 59.53 63.67 62.8 64.67 60.8 61.67 59.8 62 56.67 61.33 57.67 63.67 58.4 61.33 55.47 62.33 56.2 59.67 71.53 59.33 68.67 61.67 65.67 58.67 66.73 58 67.33 56.67 66.73 59.67 66.87 58 65.8 57 64.73 57.67 65.47 58.67 63.6 55.33 64.07 56 64.67 55.67 63.73 53.33 62.53 53.67 61.93 51 62.67 47 62.8 4.33 61.33 70 62.6 68.67 59.13 67.67 61.27 66 59.47 65.67 57.87 65.67 59.73 63.67 61.4 63.67 58.8 64 58.33 62 57.47 62 57.13 61.67 55 61.67 51.53 63.33 72.73 61 73 62.33 70.8 60.33 70.07 60.33 71.67 60.67 71.07 57.67 70.67 58.33 70.73 58 70.73 57.33 68.6 56.67 69.6 58 66.47 55.33 67.07 55.67 68.67 54.67 66.93 56.33 65.93 55 68.87 55 66.53 54.67 65.8 54.33 66.6 49 66 48.33 65 49.67 66.8 43.67 65.6 6.33 66 3 65.67 66.67 64.67 67.33 65.07 65.33 64.67 66 65.07 65.67 65.2 66.67 64.87 65.67 63.47 65 62.6 64.67 64.07 66.67 63.73 63.67 64.67 63.33 61.6 63.67 61.6 63.33 60.47 63.67 61.27 63 63 61.67 61.47 61.33 60.87 60.67 61.67 60 62.87 61.67 62.4 61.33 59.73 58.67 60.13 60.33 58.8 59.67 59.6 59.33 58.93 59.67 60.13 61 58.2 61 58.27 60 58.27 60 55.07 58.67 53.87 58.33 52.33 58 47.2 56.33 37.93 54.67 72.73 55.33 70.07 54 70.67 52.67 72.07 44 68.8 65.67 68.8 65 67.47 66.33 66.73 64 66.53 62.33 66 61.33 67.6 63 66 63.67 66 62 66.53 61.33 65.8 64.67 64.27 62.67 64.67 64 64.6 61 64.13 60.67 65.47 59.67 62.93 60.33 63.53 56.67 62.13 56.67 63.87 54.33 64.67 51 63.33 51 63.13 47 62.8 68 62.4 65 62.4 64 62.6 64 61.47 64 62.2 62 63 61 61.8 60 59.73 60 60.33 62 60.13 60 59.53 59 59 61 55.93 60 41.87 60 36.33 58 71.67 58 71.47 60 70.47 58 69.53 59 70.73 56 69.93 54 68.73 51 67.53 47
Names of X columns:
X1 X2
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?
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]), 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='mytable1.tab')
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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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