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Data X:
58 77 53 68 59 76 57 76 51 69 64 71 52 65 65 70 62 92 61 76 61 119 54 65 50 66 63 101 58 75 39 79 71 64 52 69 68 88 56 65 54 80 63 78 54 85 54 82 75 74 56 102 78 65 60 73 64 75 64 57 52 68 62 71 55 71 56 97 50 80 50 66 63 69 61 69 53 55 60 59 56 62 53 70 57 84 57 69 56 88 56 103 50 63 52 84 55 79 47 67 45 83 62 96 53 75 52 65 57 78 64 69 59 87 55 83 76 90 62 85 68 66 55 88 45 54 68 69 44 56 62 96 56 76 50 61 53 62 64 71 52 66 53 81 54 68 64 80 55 70 55 76 59 88 70 89 57 74 47 83 47 90 48 79
Names of X columns:
Female Male
Alternative
greater
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]), 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 Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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