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Data X:
0 2 2 0 2 0 0 1 2 0 0 2 0 0 0 1 2 2 0 0 0 1 1 1 1 1 1 0 1 0 1 1 0 0 0 1 0 0 0 0 0 2 2 1 1 0 0 0 2 0 0 0 0 0 0 1 1 1 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2 2 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 2 2 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 1 2 2 0 2 0 1 2 0 1 2 3 2 2 2 0 2 0 0 0 0 0 0 0 0 1 2 2 0 1 1 2 0 0 0 2 2 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
Names of X columns:
P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P16 P18 P19 P20 P21 P22 P26 P27
check.keys
(?)
TRUE
TRUE
FALSE
R Code
par1 <- 'TRUE' 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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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