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Data X:
895 33 5 25 34 757 56 5 25 23 595 17 5 21 17 725 28 5 21 17 458 16 5 22 15 844 29 5 22 15 408 21 7 35 15 543 19 5 25 14 579 24 5 25 13 482 14 6 29 12 459 17 5 24 11 409 19 5 24 11 366 26 5 24 11 477 14 6 23 11 389 14 5 14 10 388 12 6 19 10 284 12 3 14 10 547 22 5 10 9 311 7 5 25 9 339 12 5 17 9 393 15 7 24 9 403 20 5 25 9 460 15 5 16 9 377 18 5 21 9 314 12 5 20 9 355 34 5 13 9 269 12 5 25 9 488 14 3 9 9 258 25 5 24 9 392 16 5 24 8 384 14 4 13 8 381 15 5 23 8 478 17 6 29 8 334 13 5 15 8 309 19 5 22 8 660 18 5 23 8 249 11 5 25 8 289 8 5 17 8 321 14 6 20 8 344 22 2 9 8 441 23 6 26 8 402 22 6 20 8 388 23 5 23 8 405 11 5 25 8 355 14 5 14 8 328 16 6 25 8 376 13 5 24 8 218 20 5 25 8 429 16 5 25 8 325 14 6 25 8 324 18 4 11 7 379 14 5 25 7 290 22 5 17 7 224 12 5 25 7 314 15 5 23 7 267 13 5 25 7 204 15 0 0 7 248 18 5 7 7 254 11 5 19 7 371 13 5 25 7 469 18 4 16 7 275 15 4 10 7 284 14 5 25 7 277 19 5 21 7 445 26 5 24 7 328 27 5 24 7 319 17 4 19 7 377 14 5 25 7 209 9 4 13 7 325 20 5 20 6 351 11 1 5 6 236 4 5 25 6 239 18 6 16 6 306 19 6 17 6 235 11 5 11 6 357 18 5 12 6 194 8 6 24 6 302 21 5 15 6 224 7 5 24 6 232 4 5 17 6 247 15 5 25 6 160 5 2 10 5 285 12 5 23 5 230 18 5 10 5 219 11 5 20 5 190 7 2 10 5 275 18 5 23 5 292 16 5 19 5 315 9 5 25 5 317 15 6 28 5 196 12 2 3 5 256 11 5 23 5 248 11 5 25 5 222 14 5 13 5 333 11 0 0 5 285 10 5 14 5 330 17 5 11 5 320 14 2 7 5 302 12 5 19 5 259 19 5 10 5 322 17 6 19 5 201 13 5 14 4 169 12 0 0 4 258 14 1 3 4 281 14 6 24 4 252 9 1 4 4 234 10 5 25 4 314 16 8 19 4 319 15 1 1 4 265 12 5 4 4 241 13 4 14 4 110 9 1 4 3 102 3 0 0 3 211 19 0 0 3 177 1 2 4 3 141 10 5 25 3 156 11 5 10 3 141 9 0 0 3 88 8 4 20 3 247 0 2 5 2 128 8 2 3 2 246 1 0 0 2 186 5 5 4 2 84 5 0 0 2 0 3 0 0 0 0 0 0 0 0 21 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Names of X columns:
P B PR LFM H
Type of Correlation
kendall
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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