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Data X:
30 27 9 20 3 15 5 10 23 34 20 17 26 16 17 15 38 16 38 15 5 18 8 33 12 22 23 45 8 45 9 45 21 16 17 31 15 22 14 13 37 23 22 15 43 27 21 36 38 12 1 25 20 11 55 39 24 2 3 16 45 24 12 34 43 18 18 34 29 15 6 58 37 13 12 9 20 29 13 36 33 23 22 1 3 15 13 44 11 20 28 14 7 8 9 33 4 22 7 14 24 13 30 19 34 9 27
Data Y:
4.59511985 4.543294782 4.382026635 4.248495242 4.605170186 4.691347882 4.127134385 4.394449155 4.304065093 4.795790546 4.605170186 4.290459441 4.477336814 4.465908119 4.290459441 4.17438727 4.48863637 4.454347296 4.983606622 4.672828834 4.060443011 4.48863637 4.304065093 4.990432587 4.406719247 4.510859507 4.532599493 4.875197323 4.477336814 4.672828834 4.143134726 4.905274778 4.304065093 4.406719247 4.262679877 4.828313737 4.189654742 4.442651256 4.521788577 4.304065093 4.477336814 4.127134385 4.510859507 4.59511985 4.795790546 4.564348191 4.553876892 4.615120517 4.465908119 4.369447852 4.219507705 4.624972813 4.553876892 4.356708827 4.762173935 4.564348191 4.532599493 4.110873864 4.110873864 4.382026635 4.394449155 4.369447852 4.406719247 4.718498871 4.624972813 4.543294782 4.59511985 4.317488114 4.905274778 4.394449155 4.356708827 4.624972813 4.454347296 4.418840608 4.709530201 4.276666119 4.454347296 4.615120517 4.382026635 4.709530201 4.343805422 4.430816799 4.418840608 4.17438727 4.605170186 4.521788577 4.663439094 4.248495242 4.49980967 4.510859507 4.59511985 4.770684624 4.189654742 4.343805422 4.430816799 4.615120517 4.158883083 4.477336814 4.418840608 4.65396035 4.844187086 4.356708827 4.248495242 4.691347882 4.644390899 4.454347296 4.574710979
Correlation Test Method
two.sided
pearson
kendall
spearman
Form of Alternative H1
1
two.sided
less
greater
Chart options
Label y-axis:
Label x-axis:
R Code
bitmap(file='test1.png') plot(x,y, xlab=xlab, ylab=ylab) abline(coef=(lm(y ~ x))$coeff, col='red') ctp<-cor.test(x, y, use='pair', method='pearson') legend('bottomright', c('cor =', as.character(round(ctp$estimate, digits=4)))) dev.off() (sw1<-shapiro.test(x)) (sw2<-shapiro.test(y)) (cxy<-cor.test(x, y, method=par1)) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Shapiro Test (', xlab,')',sep=''),3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic W',header=TRUE) a<-table.element(a,'Probability',header=TRUE) a<-table.element(a,'Link',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,round(sw1$statistic, digits=4)) a<-table.element(a,round(sw1$p.value, digits=4)) a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a, paste('Shapiro Test (', ylab,')',sep=''),3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic W',header=TRUE) a<-table.element(a,'probability',header=TRUE) a<-table.element(a,'Link',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,round(sw2$statistic, digits=4)) a<-table.element(a,round(sw2$p.value, digits=4)) a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlation Test X-Y',5,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic',header=TRUE) a<-table.element(a,'Value',header=TRUE) a<-table.element(a,'probability',header=TRUE) a<-table.element(a,'Method',header=TRUE) a<-table.element(a,'alternative',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,names(cxy$estimate)) a<-table.element(a,round(cxy$estimate, digits=4)) a<-table.element(a,round(cxy$p.value, digits=4)) a<-table.element(a,cxy$method) a<-table.element(a,cxy$alternative) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab')
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0 seconds
R Server
Big Analytics Cloud Computing Center
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