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Data X:
0 1.7 1.6 1 0 1.7 1.8 1.3 0 1.8 1.8 2 0 2 1.8 2 0 2 2.1 1.8 2.5 1.9 0.1 1.8 0.5 2.2 1.6 2.1 0.5 2.1 1.9 1.8 1 1.7 1.9 1.8 1 2.1 1.6 2 1 1.8 2.2 1.7 2.5 1.9 1.8 1.1 1 2.3 1.9 2.1 1.5 1.8 2.4 1.9 1.5 2.1 2.1 2 1.5 1.9 2.4 1.8 1 2.6 2.2 2 1 2.4 2.4 2 3.5 1.7 1.2 1.6 2 2.2 1.9 2.1 2.5 1.9 1.9 1.9 3 1.8 1.8 1.6 2.5 2.2 1.8 2 2.5 2.1 2.1 1.9 3.5 1.8 1.6 1.8 3 1.9 1.9 2 3.5 2 1.5 2 3.5 1.7 1.8 2 3.5 2 1.8 1.8 3.5 2.1 1.5 2.1 3.5 2.2 1.6 2 2.5 2.8 1.8 2.2 3.5 2.1 1.5 2.1 3 2.3 2.2 2.1 3 2.1 2.2 2.2 3.5 1.8 2.4 1.9 2.5 3.2 1.9 2.1 4 1.9 1.9 2 3.5 2.2 2.4 1.8 4.5 1.5 1.9 2 4 1.9 2.1 2 4.5 1.9 1.8 1.9 4.5 2.5 1.5 1.8 3.5 2.2 2.4 2.2 4.5 1.9 1.8 2.1 4.5 1.8 2.1 2 4 2.1 2.2 2.1 5 2.2 1.5 2 5 1.8 1.9 1.9 4.5 2.1 1.9 2.2 4.5 2.3 2.1 2 5 1.8 1.9 2 4 2.2 2.4 2.3 5 1.8 2.1 2 4.5 2 2.2 2.1 4.5 2.9 1.5 2.2 4 2.8 2.1 2.3 5.5 1.8 1.9 1.8 5 2.3 1.9 1.9 5 2 2.2 2 4.5 2.6 2.1 2.2 5 2.1 2.2 2.1 5 2.5 1.9 1.9 5.5 2 1.9 1.9 4.5 2.4 2.4 2 5.5 1.9 2.1 1.8 5.5 1.9 2.1 2 5 2.1 2.4 2.2 5.5 1.9 2.1 2.1 5.5 2.3 1.8 2.1 5.5 2.1 2.1 2 5 2.3 2.4 2.1 5.5 2 2.2 2 5.5 2.2 2.1 2.1 5.5 2.5 1.8 2.2 5 2.7 1.9 2.3 6.5 1.9 1.5 2.2 6 2.1 2.1 2 6 2.1 1.9 2.1 6 1.9 2.4 1.9 6 2.2 2.1 2 5 2.9 2.1 2.2 6 2.4 2.1 2 5.5 2.7 2.1 2.3 6.5 2.1 1.9 2 6.5 2.2 1.8 2.1 7 1.7 2.1 1.8 6 2.4 2.1 2.2 7.5 1.6 1.8 1.7 6.5 2.2 2.1 2 7.5 1.8 1.5 2.1 6.5 2.3 2.1 2.1 6.5 2 2.2 2.3 6.5 2.3 2.1 2.1 7 2 2.1 2.1 7.5 1.9 1.8 2 6.5 2.4 2.2 2.1 7 2.4 1.9 2 7.5 1.9 1.8 2.1 7 1.9 2.5 1.9 7.5 1.9 2.1 1.9 7 2 2.4 2.1 8 1.8 2.1 1.8 6.5 3.5 1.6 2.2 7.5 2.3 2.2 1.7 8 1.9 2.4 1.9 8.5 2.1 1.6 2 7.5 2.7 2.1 2.2 7.5 2.6 2.4 2.1 8.5 2.1 2.1 2.1 9 2.3 2.4 2.2 7.5 3.5 2.4 2.7
Names of X columns:
Ex PR PA PE
check.keys
(?)
TRUE
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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