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Data X:
23 20 19 22 25 24 19 15 20 25 20 20 16 15 21 28 28 28 21 11 10 22 22 22 24 22 19 24 27 27 20 21 25 21 19 21 27 16 28 23 24 22 24 22 26 22 25 21 21 23 26 25 20 23 21 22 24 27 27 23 27 21 24 25 19 25 23 25 23 25 16 21 19 24 21 22 18 18 19 15 18 21 17 21 27 18 23 25 26 25 25 18 22 17 19 23 28 17 24 20 21 22 25 26 24 21 21 21 24 12 24 28 20 25 20 20 23 19 24 27 21 22 23 23 20 20 18 23 23 20 21 20 23 17 22 24 20 17 27 19 20 23 17 16 22 20 24 24 15 14 19 17 23 23 22 26 26 21 24 23 20 21 26 18 22 22 20 20 20 21 24 27 20 21 22 15 23 21 22 22 24 21 23 26 17 21 24 23 27 24 22 23 25 16 27 27 18 27 19 25 23 23 21 22 22 14 15 24 5 27 19 25 23 25 21 23 18 20 18 24 9 22 23 23 21 27 24 25 24 16 24 26 20 22 21 15 28 25 18 22 28 22 21 19 21 23 20 21 19 27 20 25 23 24 23 18 15 28 23 24 14 21 18 23 23 24 24 21 15 15 14 19 23 24 20 26 26 26 21 24 26 26 20 16 16 25 11 21 23 18 19 20 19 21 27 8 27 24 15 20 23 21 17 26 18 25 18 24 17 23 20 23 21 22 24 24 26 25 24 23 22 23 19 16 21 21 18 24 23 27 19 19 17 23 16 24 18 23 27 20 23 19 27 20 25 19 19 24 25 26 24 25 9 24 17 13 17 5 6 8 19 17 14 28 23 28 27 20 24 16 17 15 23 18 25 26 20 28 24 18 24 23 23 25 19 12 22 19 16 25 24 24 22 20 23 26 19 19 21 23 28 21 25 23 23 25 23 26 27 28 25 26 21 26 23 25 19 22 18 21 22 28 24 17 9 6 25 22 22 22 18 24 21 22 17 24 15 20 26 24 28 24 12 24 22 25 21 23 24 26 23 18 26 20 22 23 25 25 24 21 14 20 17 16 16 20 13 20 22 19 23 23 16 18 21 23 23 24 20 26 25 26 24 21 21 23 16 25 24 23 23 23 16 16 16 15 25 28 25 23 26 22 24 21 19 26 20 24 24 26 23 25 21 22 19 22 23 21 24 27 21 22 28 23 27 23 25 26 23 19 20 22 24 23 27 14 24 24 20 23 20 12 20 23 18 12 26 24 26 21 19 23 22 9 10 24 24 24 19 17 16 23 19 23 25 17 21 18 19 19 14 15 27 25 22 17 24 27 24 17 23 25 20 22 19 23 25 23 22 25 25 20 19 23 22 21 23 21 18 24 24 25 22 21 19 24 25 26 27 25 13 22 23 21 24 24 23 21 21 16 23 23 24 18 21 18 25 24 21 24 28 22 24 25 26 25 26 23 24 24 24 28 18 14 23 23 21 18 26 25 27 23 20 24 24 25 26 20 20 19 27 22 21 21 16 22 19 21 23 25 22 20 23 15 20 25 21 25 18 16 19 20 19 25 22 23 22 23 28 21 21 16 20 21 19 22 28 19 27 19 12 23 23 15 28 22 17 25 27 23 24 23 21 27 21 20 22 26 23 21 23 22 21 28 24 26 26 23 23 28 26 18 21 16 21 28 28 28 21 24 22 24 16 23 21 18 16 22 18 18 25 22 22 20 13 21 19 20 19 23 24 20 26 24 27 28 25 27 24 23 20 24 22 25 28 24 27 23 25 28 19 27 26 27 27 27 15 14 23 27 21 28 21 17 22 25 25 27 26 20 18 24 21 22 27 27 25 14 12 14 24 26 21 25 22 26 24 24 22 22 20 24 26 22 26 19 21 18 19 13 19 28 21 26 20 18 12 26 25 26 24 24 23
Names of X columns:
AMS.E1 AMS.E2 AMS.E3
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')
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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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