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Data X:
1 1.1 1 3.5 1 -1.0 1 0.1 1 0.4 1 3.7 1 -0.4 1 5.9 1 1.4 1 0.9 1 0.6 1 -1.0 1 1.6 1 0.5 1 -2.7 1 1.3 1 5.0 1 1.6 1 3.4 2 1.8 2 5.2 2 3.9 2 2.4 2 7.2 2 8.4 2 8.0 2 0.0 2 2.8 2 8.2 2 5.0 2 5.9 2 3.2 2 2.6 2 5.8 2 2.8 2 9.6 2 7.4
Names of X columns:
Group Change
Alternative
two.sided
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Chart options
R Code
par2 <- as.numeric(par2) par3 <- as.numeric(par3) x <- t(y) load(file='createtable') a<-table.start() a <- table.row.start(a) a <- table.element(a,'Kolmogorov_Smirnov 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) D <- ks.test(x[,par2],x[,par3],alternative=par1) a<-table.row.start(a) a<-table.element(a,'K-S Test',1,TRUE) a<-table.element(a,round(D$statistic[[1]], digits=5) ) a<-table.element(a,round(D$p.value, 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,'Means of Data Distributions ',3,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Mean 1',1,TRUE) a <- table.element(a,'Mean 2',1,TRUE) a <- table.element(a,'Difference',1,TRUE) a <- table.row.end(a) a<-table.row.start(a) a<-table.element(a,round(mean(x[,par2]), digits=5),1) a<-table.element(a,round(mean(x[,par3]), digits=5),1) a<-table.element(a,round( (mean(x[,par2])- mean(x[,par3])), digits=5),1) 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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R Server
Big Analytics Cloud Computing Center
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