Nick Mulkens | |||||||||||||||||||||||||||||||||||
| *Unverified author* | |||||||||||||||||||||||||||||||||||
| R Software Module: rwasp_pairs.wasp (opens new window with default values) | |||||||||||||||||||||||||||||||||||
| Title produced by software: Kendall tau Correlation Matrix | |||||||||||||||||||||||||||||||||||
| Date of computation: Wed, 24 Dec 2008 07:17:14 -0700 | |||||||||||||||||||||||||||||||||||
| Cite this page as follows: | |||||||||||||||||||||||||||||||||||
| Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/24/t1230128257aq969fo0bayqxos.htm/, Retrieved Wed, 24 Dec 2008 15:17:37 +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/2008/Dec/24/t1230128257aq969fo0bayqxos.htm/},
year = {2008},
}
@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 = {2008},
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 « | |||||||||||||||||||||||||||||||||||
| 1.1608 544.5 1.1208 619.8 1.0883 777.6 1.0704 640.4 1.0628 633 1.0378 722 1.0353 860.1 1.0604 495.1 1.0501 692.8 1.0706 766.7 1.0338 648.5 1.011 640 1.0137 681.6 0.9834 752.5 0.9643 1031.7 0.947 685.5 0.906 887.6 0.9492 655.4 0.9397 944.2 0.9041 626.6 0.8721 1221.8 0.8552 939.6 0.8564 886.6 0.8973 811.3 0.9383 774.7 0.9217 910.6 0.9095 911.6 0.892 697.7 0.8742 829.8 0.8532 824.3 0.8607 885.6 0.9005 538.9 0.9111 686 0.9059 878.7 0.8883 812.7 0.8924 640.4 0.8833 773.9 0.87 795.9 0.8758 836.3 0.8858 876.1 0.917 851.7 0.9554 692.4 0.9922 877.3 0.9778 536.8 0.9808 705.9 0.9811 951 1.0014 755.7 1.0183 695.5 1.0622 744.8 1.0773 672.1 1.0807 666.6 1.0848 760.8 1.1582 756 1.1663 604.4 1.1372 883.9 1.1139 527.9 1.1222 756.2 1.1692 812.9 1.1702 655.6 1.2286 707.6 | |||||||||||||||||||||||||||||||||||
| Output produced by software: | |||||||||||||||||||||||||||||||||||
| Charts produced by software: |
| Parameters (Session): | | Parameters (R input): | | 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') | Copyright
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