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Data X:
95.1 86.7 79.3 98.8 72.9 62.7 50.1 65.7 64.5 71.5 65.4 73.3 141.6 94.8 89.5 92.6 103.7 78.7 77.7 92.6 82.8 66.6 66.6 66.1 105.3 76.8 82.9 76.5 204 128.7 110.6 97.3 133.2 88.8 86.4 76.5 93.2 78.2 66.8 65.2 123.8 96.1 89.8 93.5 119.3 89.3 76.8 68.6 113.1 106 91.1 76.3 93.2 85.7 86.2 86.4 86.8 71.7 72.9 79.9 81 75 69.5 66.3 96.2 82.6 80.4 80.8 94.4 98 88.3 86.1 121.7 85.7 77.8 83.2 89.6 75.9 68.4 71.6 129.2 106.7 89.1 77.9 128.4 99.5 93.6 93.6 109.5 92 77.3 78.7 68.8 76.5 66.7 69.4 101.2 80.8 78.5 71.8 109.1 76.2 69.5 78.5 101.5 74.1 77.3 76.4
Names of X columns:
APTC1 APTC2 APTC3 APTC4
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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Big Analytics Cloud Computing Center
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