Paper | |||||||||||||||||||||||||
| *The author of this computation has been verified* | |||||||||||||||||||||||||
| R Software Module: /rwasp_pairs.wasp (opens new window with default values) | |||||||||||||||||||||||||
| Title produced by software: Kendall tau Correlation Matrix | |||||||||||||||||||||||||
| Date of computation: Sun, 26 Dec 2010 09:06:26 +0000 | |||||||||||||||||||||||||
| Cite this page as follows: | |||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/26/t1293354261qom3w2qhijro560.htm/, Retrieved Sun, 26 Dec 2010 10:04:21 +0100 | |||||||||||||||||||||||||
| BibTeX entries for LaTeX users: | |||||||||||||||||||||||||
@Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/26/t1293354261qom3w2qhijro560.htm/},
year = {2010},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2010},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
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| Original text written by user: | |||||||||||||||||||||||||
| IsPrivate? | |||||||||||||||||||||||||
| No (this computation is public) | |||||||||||||||||||||||||
| User-defined keywords: | |||||||||||||||||||||||||
| Kendall tau correlatie matrix | |||||||||||||||||||||||||
| Dataseries X: | |||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | |||||||||||||||||||||||||
| 548604 279998 268606 563668 287224 276444 586111 296369 289742 604378 300653 303725 600991 302686 298305 544686 277891 266795 537034 277537 259497 551531 285383 266148 563250 292213 271037 574761 298522 276239 580112 300431 279681 575093 297584 277509 557560 286445 271115 564478 288576 275902 580523 293299 287224 596594 295881 300713 586570 292710 293860 536214 271993 264221 523597 267430 256167 536535 273963 262572 536322 273046 263276 532638 268347 264291 528222 264319 263903 516141 255765 260376 501866 246263 255603 506174 245098 261076 517945 246969 270976 533590 248333 285257 528379 247934 280445 477580 226839 250741 469357 225554 243803 490243 237085 253158 492622 237080 255542 507561 245039 262522 516922 248541 268381 514258 247105 267153 509846 243422 266424 527070 250643 276427 541657 254663 286994 564591 260993 303598 555362 258556 296806 498662 235372 263290 511038 246057 264981 525919 253353 272566 531673 255198 276475 548854 264176 284678 560576 26903 etc... | |||||||||||||||||||||||||
| Output produced by software: | |||||||||||||||||||||||||
Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!
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| Charts produced by software: | |||||||||||||||||||||||||
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| Parameters (Session): | |||||||||||||||||||||||||
| par1 = red ; | |||||||||||||||||||||||||
| Parameters (R input): | |||||||||||||||||||||||||
| par1 = red ; | |||||||||||||||||||||||||
| R code (references can be found in the software module): | |||||||||||||||||||||||||
| 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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