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Data X:
-999 -999 38.6 6654 5712 645 3 5 3 6.3 2 4.5 1 6.6 42 3 1 3 -999 -999 14 3.385 44.5 60 1 1 1 -999 -999 -999 0.92 5.7 25 5 2 3 2.1 1.8 69 2547 4603 624 3 5 4 9.1 0.7 27 10.55 179.5 180 4 4 4 15.8 3.9 19 0.023 0.3 35 1 1 1 5.2 1 30.4 160 169 392 4 5 4 10.9 3.6 28 3.3 25.6 63 1 2 1 8.3 1.4 50 52.16 440 230 1 1 1 11 1.5 7 0.42 6.4 112 5 4 4 3.2 0.7 30 465 423 281 5 5 5 7.6 2.7 -999 0.55 2.4 -999 2 1 2 -999 -999 40 187.1 419 365 5 5 5 6.3 2.1 3.5 0.075 1.2 42 1 1 1 8.6 0 50 3 25 28 2 2 2 6.6 4.1 6 0.785 3.5 42 2 2 2 9.5 1.2 10.4 0.2 5 120 2 2 2 4.8 1.3 34 1.41 17.5 -999 1 2 1 12 6.1 7 60 81 -999 1 1 1 -999 0.3 28 529 680 400 5 5 5 3.3 0.5 20 27.66 115 148 5 5 5 11 3.4 3.9 0.12 1 16 3 1 2 -999 -999 39.3 207 406 252 1 4 1 4.7 1.5 41 85 325 310 1 3 1 -999 -999 16.2 36.33 119.5 63 1 1 1 10.4 3.4 9 0.101 4 28 5 1 3 7.4 0.8 7.6 1.04 5.5 68 5 3 4 2.1 0.8 46 521 655 336 5 5 5 -999 -999 22.4 100 157 100 1 1 1 -999 -999 16.3 35 56 33 3 5 4 7.7 1.4 2.6 0.005 0.14 21.5 5 2 4 17.9 2 24 0.1 0.25 50 1 1 1 6.1 1.9 100 62 1320 267 1 1 1 8.2 2.4 -999 0.122 3 30 2 1 1 8.4 2.8 -999 1.35 8.1 45 3 1 3 11.9 1.3 3.2 0.023 0.4 19 4 1 3 10.8 2 2 0.048 0.33 30 4 1 3 13.8 5.6 5 1.7 6.3 12 2 1 1 14.3 14.3 6.5 3.5 10.8 120 2 1 1 -999 1 23.6 250 490 440 5 5 5 15.2 1.8 12 0.48 15.5 140 2 2 2 10 0.9 20.2 10 115 170 4 4 4 11.9 1.8 13 1.62 11.4 17 2 1 2 6.5 1.9 27 192 180 115 4 4 4 7.5 0.9 18 2.5 12.1 31 5 5 5 -999 -999 13.7 4.288 39.2 63 2 2 2 10.6 2.6 4.7 0.28 1.9 21 3 1 3 7.4 2.4 9.8 4.235 50.4 52 1 1 1 8.4 1.2 29 6.8 179 164 2 3 2 5.7 0.9 7 0.75 12.3 225 2 2 2 4.9 0.5 6 3.6 21 225 3 2 3 -999 -999 17 14.83 98.2 150 5 5 5 3.2 0.6 20 55.5 175 151 5 5 5 -999 -999 12.7 1.4 12.5 90 2 2 2 8.1 2.2 3.5 0.06 1 -999 3 1 2 11 2.3 4.5 0.9 2.6 60 2 1 2 4.9 0.5 7.5 2 12.3 200 3 1 3 13.2 2.6 2.3 0.104 2.5 46 3 2 2 9.7 0.6 24 4.19 58 210 4 3 4 12.8 6.6 3 3.5 3.9 14 2 1 1 -999 -999 13 4.05 17 38 3 1 1
Names of X columns:
SWS PS L BW BRW Tg P S D
Type of Correlation
pearson
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=par1) 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$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) n a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } 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,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable1.tab')
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