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Data X:
182.38 3.58 180.98 182.5 91.87 2.11 90.81 91.75 92.23 2.57 91.25 91.86 92.24 1.82 91.43 91.94 92.58 2.28 90.95 91.87 93.02 3.34 91.23 92.02 93.03 2.83 92.47 92.23 92.79 2.97 92.09 92.14 94.1 3.84 91.29 92.41 93 2.58 90.92 92.3 93.85 3.23 91.53 92.5 93.04 1.88 92.12 92.53 93.11 1.91 92.22 93.18 94 2.3 92.69 93.5 94.02 1.93 92.26 93.5 95.43 3.49 93.4 93.69 95.82 3.49 93.03 93.61 95.54 2.72 93.58 93.78 95.24 2.37 95.16 93.85 95.29 2.69 93.95 94 95.84 1.85 93.88 94.14 95.27 2.44 94.48 94.41 95.64 1.91 95.63 94.41 95.13 2.23 95.25 94.49 96.47 3.62 95.65 95.4 96.22 2.36 97.09 95.72 96.56 2.71 96.17 95.73 96.37 0.95 94.66 95.84 96.64 0.85 95.83 96.14 95.95 0.43 96.29 96.03 96.84 1.68 97.06 96.33 96.47 1.24 96.79 96.53 97.04 1.26 95.77 96.5 96.55 1.32 94.87 96.66 96.5 0.91 96.38 96.9 96.68 1.64 96.86 96.9 97.49 1.05 96.23 97.57 98.4 2.27 97.56 97.81 98.29 1.78 97 97.92 97.51 1.2 98.29 98.01 97.22 0.6 97.03 98.22 98.05 2.2 97.99 98.36 98.15 1.36 98.7 98.3 98.5 2.09 98.26 98.57 98.79 1.81 97.6 98.71 97.87 1.36 97.95 98.68 98.55 2.14 98.87 98.88 98.25 1.62 99.16 98.67 98.89 1.44 98.68 99.39 99.34 0.93 100.07 99.99 99.25 1 98.68 99.9 100.17 2.71 100.32 99.89 100.42 3.3 99.56 100.22 99.93 1.91 99.98 99.97 100.66 2.56 101.5 100.25 100.56 2.11 100.53 100.18 100.58 1.8 100.33 100.39 101.49 3.69 100.68 100.57 100.76 2.24 100.93 100.44 100.22 1.99 100.65 100.57 101.11 2.25 102.18 101.4 102.19 2.88 102.1 101.57 102.81 3.57 101.81 101.58 102.62 2.45 101.25 101.94 102.69 2.26 102.14 101.82 103.16 3.23 102.63 102.03 104.09 3.41 103.85 102.25 103.67 3.08 102.58 102.37 103.81 3.21 102.15 102.68 103.31 1.78 103.14 102.79 103.44 2.67 103.61 102.72 103.43 3.21 103.21 103.05 103.51 2.37 102.63 106.7 104.38 2.13 104.04 104.96 103.85 1 102.88 105.25 104.91 2.23 103.6 105.22 105.18 2.42 103.61 105.5 104.75 1.55 103.96 105.76 105.49 1.33 105.11 105.82 105.39 1.66 104.64 105.86 104.66 0.81 103.65 106.37 104.54 1.2 104.37 105.99 105.27 1.77 104.23 106.23 105.29 1.79 104.85 106.43 105.25 1.68 104.76 106.94 106.34 1.88 106.31 106.87 105.79 1.87 105.74 107.28 106.74 1.74 105.87 107.19 106 0.78 105.98 107.46 106.11 1.3 105.76 107.52 107.02 1.45 107.17 107.78 106.31 0.87 106.37 107.79 106.64 1.9 105.03 107.87
Names of X columns:
Index Inflatie Diensten Huur
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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