| *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: Wed, 29 Dec 2010 12:01:25 +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/29/t1293623971q88xprvq8sa7mds.htm/, Retrieved Wed, 29 Dec 2010 12:59:32 +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/29/t1293623971q88xprvq8sa7mds.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: | ||||||||||||||||||||||||||||||||||
| Dataseries X: | ||||||||||||||||||||||||||||||||||
| » Textbox « » Textfile « » CSV « | ||||||||||||||||||||||||||||||||||
| 04,031636 00,521505 09,166456 01,303763 03,702076 00,424828 07,970589 01,416094 03,056167 00,425031 07,104091 01,052458 03,280707 00,477194 06,621064 01,312283 02,984728 00,828021 07,529215 01,309429 03,693712 00,615619 08,170938 01,492409 03,226317 00,366627 08,157450 01,026556 02,190349 00,430888 07,378962 01,005406 02,599515 00,281029 07,921496 01,334886 03,080288 00,464625 08,156740 01,393873 02,929672 00,269395 08,856365 01,128092 02,922548 00,577905 08,817177 01,122787 03,234943 00,566115 08,734347 01,213104 02,983081 00,507758 09,345927 01,253528 03,284389 00,750718 08,992970 01,094796 03,806511 00,680840 10,785120 00,912944 03,784579 00,766109 08,886867 01,195130 02,645654 00,456147 08,818847 00,927499 03,092081 00,497750 08,823744 00,965333 03,204859 00,419327 09,165298 01,198078 03,107225 00,609551 08,652657 00,966362 03,466909 00,457337 08,173054 00,973685 02,984404 00,570548 07,563416 00,994801 03,218072 00,347900 07,595809 00,826262 02,827310 00,387499 08,381467 00,688888 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 = kendall ; | ||||||||||||||||||||||||||||||||||
| Parameters (R input): | ||||||||||||||||||||||||||||||||||
| par1 = kendall ; | ||||||||||||||||||||||||||||||||||
| 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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