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Data X:
100.0 100.0 100.0 100.0 88.4 102.3 100.6 95.3 92.7 141.1 114.2 90.7 71.3 111.6 91.5 88.4 64.4 118.6 94.7 86.0 94.9 125.6 110.6 86.0 70.9 81.4 71.3 95.3 69.5 102.3 104.1 95.3 77.5 96.9 112.3 88.4 80.0 93.8 110.2 86.0 89.8 101.6 112.9 81.4 76.7 75.2 95.1 83.7 76.4 102.3 103.1 95.3 80.0 139.5 101.9 88.4 77.1 109.3 100.4 86.0 69.5 125.6 106.9 83.7 65.5 118.6 100.7 76.7 70.9 100.8 114.3 79.1 49.5 60.5 73.3 86.0 71.3 72.9 105.9 86.0 66.2 64.3 113.9 79.1 60.4 62.0 112.1 76.7 53.5 72.9 117.5 69.8 45.5 41.1 97.5 69.8 59.6 68.2 112.3 76.7 61.8 87.6 106.9 69.8 62.2 107.8 120.9 67.4 50.9 55.8 92.7 65.1 56.4 58.1 110.9 58.1 56.7 70.5 116.5 60.5 51.3 53.5 77.1 65.1 60.7 55.0 113.1 62.8 62.2 70.5 115.9 55.8 74.9 72.9 123.5 51.2 68.0 73.6 123.6 48.8 45.1 63.6 101.5 48.8 59.3 83.7 121.0 53.5 56.0 79.1 112.2 48.8 82.2 99.2 126.0 46.5 45.5 59.7 101.8 44.2 58.9 76.0 117.9 39.5 52.7 65.1 122.2 41.9 35.6 44.2 82.7 48.8 46.5 54.3 120.5 46.5 57.8 55.0 120.3 41.9 76.0 58.9 134.2 39.5 54.5 60.5 128.2 37.2 45.5 40.3 100.5 37.2 77.8 48.8 126.0 41.9 70.2 53.5 122.9 39.5 50.9 57.4 106.1 39.5 74.5 79.1 130.4 34.9 69.8 69.0 121.3 34.9 69.8 73.6 126.1 34.9 67.6 60.5 88.7 41.9 54.5 62.0 118.7 41.9 89.5 72.9 129.3 39.5 102.5 99.2 136.2 39.5 96.0 62.8 123.0 41.9 122.2 65.1 103.5 46.5
Names of X columns:
BEES PBIS PIMI TUPR
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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