Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
2 2 2 2 5 4 4 5 4 4 5 5 3 3 3 3 7 6 6 5 3 4 5 4 5 5 5 4 5 5 1 5 4 4 4 3 7 7 7 7 5 5 6 5 3 5 5 5 6 5 6 5 2 5 6 6 5 5 6 6 5 6 7 7 4 4 5 3 5 5 4 5 6 7 6 7 6 6 5 7 5 5 5 5 5 4 5 5 3 5 6 5 6 6 5 6 5 5 4 4 4 6 6 5 4 5 5 6 3 5 5 2 5 5 5 4 7 6 7 7 4 5 6 4 2 1 2 2 3 5 6 6 5 5 5 5 5 6 3 5 5 5 5 5 4 3 4 7 4 3 5 2 3 4 5 5 4 4 4 5 2 2 2 2 5 5 6 6 5 5 5 5 4 6 6 6 4 2 3 5 5 5 6 5 5 5 5 5 3 6 5 4 7 6 6 5 4 3 6 6 2 3 6 5 2 4 5 5 4 5 5 2 5 5 6 6 4 4 7 6 4 5 4 2 4 3 5 3 3 2 4 5 3 3 6 5 2 2 4 6 5 5 4 5 2 4 5 5 7 6 7 6 4 4 5 5
Names of X columns:
Q6 Q13 Q20 Q27
check.keys
(?)
TRUE
TRUE
FALSE
R Code
library(psych) z <- t(y) (r <- alpha(z)) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Cronbach Alpha and Related Statistics',5,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Items',1,TRUE) a<-table.element(a,'Cronbach Alpha',1,TRUE) a<-table.element(a,'Std. Alpha',1,TRUE) a<-table.element(a,'G6(smc)',1,TRUE) a<-table.element(a,'Average R',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'All itmes',header=TRUE) a<-table.element(a,round(r$total['raw_alpha'],4)) a<-table.element(a,round(r$total['std.alpha'],4)) a<-table.element(a,round(r$total['G6(smc)'],4)) a<-table.element(a,round(r$total['average_r'],4)) a<-table.row.end(a) n = length(z[1,]) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,paste(colnames(z)[i],' excluded',sep=''),header=TRUE) a<-table.element(a,round(r$alpha.drop[i,'raw_alpha'],4)) a<-table.element(a,round(r$alpha.drop[i,'std.alpha'],4)) a<-table.element(a,round(r$alpha.drop[i,'G6(smc)'],4)) a<-table.element(a,round(r$alpha.drop[i,'average_r'],4)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation