Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1.1 -1.86111 3.5 1.53889 -1.0 0.23889 0.1 -1.26111 0.4 3.53889 3.7 4.73889 -0.4 4.33889 5.9 -3.66111 1.4 -0.86111 0.9 4.53889 0.6 1.33889 -1.0 2.23889 1.6 -0.46111 0.5 -1.06111 -2.7 2.13889 1.3 -0.86111 5.0 5.93889 3.4 3.73889
Names of X columns:
Treat1 Treat2
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')
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