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Data X:
6 3.2 0 0 0 1 10.24 7 3.3 1 0 1 0 10.89 2 3 1 1 1 0 9 11 3.5 1 0 1 0 12.25 13 3.7 0 0 1 0 13.69 3 2.7 0 0 0 1 7.29 17 3.6 1 1 1 0 12.96 10 3.5 1 0 1 0 12.25 4 3.8 0 0 0 1 14.44 12 3.4 0 0 1 0 11.56 7 3.7 1 0 0 0 13.69 11 3.5 0 0 1 0 12.25 3 2.8 0 1 0 0 7.84 5 3.8 0 1 0 1 14.44 1 4.3 0 0 1 0 18.49 12 3.3 1 0 0 0 10.89 18 3.6 0 0 0 0 12.96 8 3.6 0 1 0 1 12.96 6 3.3 0 0 1 1 10.89 1 2.8 0 0 0 0 7.84
Names of X columns:
Score X5 X4 X3 X2 X1 X6
check.keys
(?)
TRUE
FALSE
R Code
library(psych) par1b <- T if(par1=='FALSE') par1b <- F z <- t(y) (r <- alpha(z,check.keys=par1b)) 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')
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Big Analytics Cloud Computing Center
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