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Data X:
1.35 75.53 1.91 75.75 1.31 76.57 1.19 77.59 1.3 77.15 1.14 79.08 1.1 80.29 1.02 79.94 1.11 80.19 1.18 79.70 1.24 79.14 1.36 78.23 1.29 77.16 1.73 76.77 1.41 76.19 1.15 74.83 1.31 74.33 1.15 72.71 1.08 71.32 1.1 71.88 1.14 71.78 1.24 71.77 1.33 72.17 1.49 70.84 1.38 70.64 1.96 70.85 1.36 71.43 1.24 78.52 1.35 81.12 1.23 84.16 1.09 84.36 1.08 84.13 1.33 83.59 1.35 82.13 1.38 83.03 1.5 83.91 1.47 83.01 2.09 82.36 1.52 82.01 1.29 81.83 1.52 80.89 1.27 82.86 1.35 83.28 1.29 82.63 1.41 81.52 1.39 82.20 1.45 81.97 1.53 81.60 1.45 82.36 2.11 82.55 1.53 81.27 1.38 79.89 1.54 74.44 1.35 73.47 1.29 73.16 1.33 73.16 1.47 72.94 1.47 72.89 1.54 73.26 1.59 73.93 1.5 72.58 2 72.00 1.51 72.79 1.4 71.86 1.62 69.74 1.44 69.73 1.29 69.05 1.28 69.63 1.4 70.48 1.39 72.49 1.46 72.66 1.49 74.77
Names of X columns:
tulp olie
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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