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Data X:
24 33 49 24 23 34 48 22 24 36 49 25 24 36 48 24 27 38 47 29 28 42 42 26 25 35 42 26 19 25 54 21 19 24 53 23 19 22 52 22 20 27 48 21 16 17 47 16 22 30 45 19 21 30 47 16 25 34 43 25 29 37 34 27 28 36 34 23 25 33 41 22 26 33 35 23 24 33 38 20 28 37 34 24 28 40 35 23 28 35 26 20 28 37 27 21 32 43 21 22 31 42 22 17 22 33 49 21 29 39 29 19 31 40 24 23 29 37 25 22 32 44 17 15 32 42 22 23 31 43 22 21 29 40 24 18 28 30 19 18 28 30 18 18 29 31 14 18 22 18 17 10 26 24 13 13 24 22 15 10 27 26 10 9 27 28 8 9 23 23 16 6 21 17 21 11 19 12 19 9 17 9 27 10 19 19 31 9 21 21 31 16 13 18 51 10 8 18 67 7 5 15 75 7 10 24 78 14 6 18 83 11 6 19 81 10 8 30 81 6 11 33 80 8 12 35 79 13 13 36 75 12 19 47 67 15 19 46 67 16 18 43 67 16
Names of X columns:
I.C. E.S W.B S.
Type of Correlation
red
pearson
spearman
kendall
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Title:
R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method='kendall') r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'tau',1,TRUE) a<-table.element(a,'p-value',1,TRUE) a<-table.row.end(a) n <- length(y[,1]) n cor.test(y[1,],y[2,],method='kendall') for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste('tau(',dimnames(t(x))[[2]][i]) dum <- paste(dum,',') dum <- paste(dum,dimnames(t(x))[[2]][j]) dum <- paste(dum,')') a<-table.element(a,dum,header=TRUE) r <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,r$estimate) a<-table.element(a,r$p.value) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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