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Data X:
3.68 2.97 2.67 1.74 3.72 3.04 2.72 1.75 3.77 3.12 2.84 1.83 3.92 3.21 3 2.09 4.12 3.34 3.08 2.12 4.03 3.45 3.21 2.29 3.93 3.74 3.44 2.4 4.03 4.02 3.74 2.82 4.24 4.24 4.08 3.18 4.13 4.87 4.79 4 3.87 5.62 5.44 4.8 4.26 6.02 6.02 5.28 4.46 5.98 6.01 5.37 4.56 5.89 5.85 5.27 4.58 5.76 5.93 5.33 4.85 5.58 5.85 5.23 4.84 5.39 5.74 5.08 4.51 5.19 5.75 5.11 4.37 5.16 5.78 5.1 4.23 5.2 5.62 4.97 4.23 5.25 5.67 5 4.25 5.26 5.89 5.2 4.41 5.21 5.67 4.9 4.28 5.18 5.64 4.82 4.42 5.13 5.64 5.04 4.39 5.03 5.64 4.82 4.44 5.01 5.54 4.77 4.62 4.87 5.52 4.79 4.64 4.86 5.28 4.58 4.34 4.82 5.25 4.59 4.22 4.69 5.23 4.57 4.01 4.65 5.09 4.35 4.11 4.61 5 4.27 4.06 4.47 5.02 4.39 3.82 4.37 4.8 3.97 3.76 4.29 4.71 3.84 3.83 4.2 4.51 3.73 3.79 4.19 4.51 3.58 3.92 4.09 4.42 3.45 4.04 3.88 4.4 3.44 4.02 3.87 4.25 3.25 4.03 3.74 4.18 3.25 3.96 3.61 4.09 3.02 3.7 3.43 3.97 2.87 3.54 3.29 3.89 2.92 3.37 3.18 4.02 2.95 3.39 3.07 3.81 2.75 3.49 3.02 3.67 2.7 3.3 2.97 3.68 2.75 3.14 2.98 3.66 2.72 3.31 3.01 3.66 2.71 3.3 3.06 3.65 2.76 3.26 3.12 3.67 2.68 3.43 3.16 3.66 2.78 3.6 3.19 3.7 2.86 3.76 3.21 3.77 2.75 3.57 3.27 3.74 2.87 3.59 3.36 3.8 2.91 3.66 3.45 3.79 2.79 3.85 3.52 3.75 2.77
Names of X columns:
olo hsh venn< venn>
Type of Correlation
pearson
spearman
kendall
Chart options
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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