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Data X:
12008.00 4.00 9169.00 5.90 8788.00 7.10 8417.00 10.50 8247.00 15.10 8197.00 16.80 8236.00 15.30 8253.00 18.40 7733.00 16.10 8366.00 11.30 8626.00 7.90 8863.00 5.60 10102.00 3.40 8463.00 4.80 9114.00 6.50 8563.00 8.50 8872.00 15.10 8301.00 15.70 8301.00 18.70 8278.00 19.20 7736.00 12.90 7973.00 14.40 8268.00 6.20 9476.00 3.30 11100.00 4.60 8962.00 7.10 9173.00 7.80 8738.00 9.90 8459.00 13.60 8078.00 17.10 8411.00 17.80 8291.00 18.60 7810.00 14.70 8616.00 10.50 8312.00 8.60 9692.00 4.40 9911.00 2.30 8915.00 2.80 9452.00 8.80 9112.00 10.70 8472.00 13.90 8230.00 19.30 8384.00 19.50 8625.00 20.40 8221.00 15.30 8649.00 7.90 8625.00 8.30 10443.00 4.50 10357.00 3.20 8586.00 5.00 8892.00 6.60 8329.00 11.10 8101.00 12.80 7922.00 16.30 8120.00 17.40 7838.00 18.90 7735.00 15.80 8406.00 11.70 8209.00 6.40 9451.00 2.90 10041.00 4.70 9411.00 2.40 10405.00 7.20 8467.00 10.70 8464.00 13.40 8102.00 18.30 7627.00 18.40 7513.00 16.80 7510.00 16.60 8291.00 14.10 8064.00 6.10 9383.00 3.50 9706.00 1.70 8579.00 2.30 9474.00 4.50 8318.00 9.30 8213.00 14.20 8059.00 17.30 9111.00 23.00 7708.00 16.30 7680.00 18.40 8014.00 14.20 8007.00 9.10 8718.00 5.90 9486.00 7.20 9113.00 6.80 9025.00 8.00 8476.00 14.30 7952.00 14.60 7759.00 17.50 7835.00 17.20 7600.00 17.20 7651.00 14.10 8319.00 10.40 8812.00 6.80 8630.00 4.10
Names of X columns:
Sterftegevallen Temperatuur
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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