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Data X:
1.14 0.88 0.85 0.97 0.88 0.86 -0.27 -0.28 -0.21 0.08 0.09 0.02 1.07 0.86 0.82 0.86 0.87 0.84 0.18 0.22 0.26 -0.12 -0.16 -0.22 0.92 0.79 0.78 0.52 0.6 0.62 1.15 0.91 0.88 0.87 0.84 0.81 0.59 0.64 0.62 0.75 0.82 0.81 1.05 0.86 0.83 0.78 0.83 0.8 -0.49 -0.53 -0.47 -0.66 -0.71 -0.68 0.98 0.88 0.84 0.92 0.83 0.8 0.74 0.81 0.78 0.65 0.72 0.71 0.51 0.6 0.62 0.41 0.56 0.57 0.6 0.64 0.61 0.47 0.53 0.52 0.42 0.53 0.53 0.4 0.46 0.45 0.72 0.69 0.66 0.48 0.58 0.57 0.35 0.53 0.49 0.21 0.31 0.32 0.58 0.7 0.67 0.65 0.78 0.78 0.62 0.72 0.71 0.59 0.73 0.78 0.54 0.63 0.63 0.34 0.43 0.4 0.08 0.09 0.13 -0.05 -0.06 -0.02
Names of X columns:
mean0 sum0 count0 mean1 sum1 count1
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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Big Analytics Cloud Computing Center
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