Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1 'SMK' 1 2 'SMK' 1 2 'SMK' 2 2 'SMK' 2 3 'SMK' 3 3 'SMK' 3 3 'SMK' 4 3 'SMK' 4 3 'SMK' 5 3 'SMK' 5 4 'SMK' 6 4 'SMK' 6 4 'SMK' 7 4 'SMK' 7 5 'SMK' 8 5 'SMK' 8 5 'SMK' 9 6 'SMK' 9 7 'SMK' 10 7 'SMK' 10
Names of X columns:
score smoker average
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,signif(D$statistic[[1]], digits=5) ) a<-table.element(a,signif(D$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,signif(mean(x[,par2]), digits=5),1) a<-table.element(a,signif(mean(x[,par3]), digits=5),1) a<-table.element(a,signif( (mean(x[,par2])- mean(x[,par3])), digits=5),1) 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