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Data X:
96560 76 129 17 22996 0 0 78 62 72 112611 41 36 20 26706 3 7 44 56 64 98146 40 37 17 27114 0 1 80 49 66 121848 39 45 17 30594 2 0 73 63 78 31774 23 48 17 4143 1 2 107 67 71 65475 18 24 13 69008 1 0 42 59 71 108446 60 90 17 46300 0 2 76 40 59 76302 31 26 20 30976 2 2 69 34 65 30989 14 35 17 4154 -2 0 62 37 48 150580 77 124 22 45588 -4 0 46 61 72 59382 49 49 12 26263 1 0 133 60 66 341570 168 190 21 117105 0 0 71 57 68 133328 55 79 20 40909 -3 0 46 56 75 101523 42 76 22 61056 0 1 131 67 73 92499 32 57 18 21399 -2 2 47 38 59 118612 46 72 12 30080 -2 0 15 49 72 98104 54 132 17 25568 -3 0 37 32 65 84105 20 45 17 20055 0 1 0 63 69 237213 84 74 38 66198 0 3 79 67 71 133131 55 52 30 57793 4 3 77 43 54 344297 75 86 30 67654 1 5 101 84 84 174415 100 63 31 82753 3 0 105 49 66 294424 77 59 33 101494 4 2 124 58 73 362301 119 715 34 100708 2 0 83 63 69 167488 45 77 28 83737 0 0 106 29 70 152299 53 63 33 61370 2 2 25 58 72 243511 71 65 42 101338 0 2 16 62 63 132487 41 97 36 40735 3 1 22 54 66 172494 52 52 43 86687 3 0 29 53 60 224330 83 52 39 130115 0 0 5 66 66 181633 70 48 30 64466 6 0 27 53 71 210907 56 81 30 112285 2 0 29 26 50 236785 119 75 31 101481 0 5 43 43 52 244052 68 66 44 143558 2 0 158 53 70 143756 46 57 34 69094 4 4 102 54 60 182079 63 63 33 102860 2 0 123 47 76 100750 72 67 30 140867 3 0 105 43 60 152474 65 45 32 65567 0 1 33 57 70 97839 38 42 24 94785 -1 2 96 41 75 149061 44 66 26 116174 0 6 56 37 54 324799 154 108 47 97668 0 5 59 52 65 230964 53 43 30 133824 -1 0 91 52 73 174724 92 135 34 69112 0 1 76 67 42 223632 73 52 33 72654 -1 1 94 70 65 106408 30 32 14 31081 1 2 41 68 75 265769 146 37 32 83122 -2 5 67 43 66 149112 56 65 35 60578 -4 2 100 56 70 152871 58 74 28 79892 2 5 67 74 81 183167 66 66 39 82875 -4 1 135 58 71 218946 41 112 29 80670 2 4 58 63 68 196553 57 50 29 95260 -3 0 56 64 67 143246 103 42 27 106671 2 0 59 53 76 193339 78 47 35 84651 2 1 116 51 71 130585 46 57 29 95364 -4 2 98 54 70 148446 91 63 37 126846 3 8 32 48 65 243060 63 110 29 111813 -1 4 63 50 68 317394 86 53 31 91413 -3 0 113 45 70 244749 95 144 33 76643 0 1 111 61 64 128423 64 89 38 92696 2 10 120 56 70 229242 247 128 31 91721 2 0 25 46 66 324598 110 128 37 135777 2 1 109 51 59 195838 67 50 31 102372 -2 0 37 37 78 254488 83 50 39 103772 0 2 54 42 67 271856 103 91 37 54990 -3 2 55 69 67 95227 34 70 32 34777 3 0 17 56 61
Names of X columns:
tijd login vieuws revieuws size test shared blogged intrisieke extrisieke
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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