| 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: Mon, 27 Dec 2010 13:40:40 +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/27/t12934571813fln4u8lsmtupd8.htm/, Retrieved Mon, 27 Dec 2010 14:39:41 +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/27/t12934571813fln4u8lsmtupd8.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},
}
| | Original text written by user: | | | IsPrivate? | No (this computation is public) | | User-defined keywords: | | | Dataseries X: | » Textbox « » Textfile « » CSV « | 921365 18919 48873 137852
987921 19147 52118 145224
1132614 21518 60530 163575
1332224 20941 55644 190761
1418133 22401 57121 196562
1411549 22181 55697 204493
1695920 22494 56483 259479
1636173 21479 51541 259479
1539653 22322 56328 223164
1395314 21829 54349 194886
1127575 20370 59885 160407
1036076 18467 55806 151747
989236 18780 54559 152448
1008380 18815 55590 148388
1207763 20881 63442 168510
1368839 21443 61258 188041
1469798 22333 55829 192020
1498721 22944 58023 205250
1761769 22536 58887 261642
1653214 21658 51510 251614
1599104 23035 60006 222726
1421179 21969 60831 179039
1163995 20297 61559 151462
1037735 18564 61325 143653
1015407 18844 55222 143762
1039210 18762 56370 134580
1258049 21757 66063 165273
1469445 20501 60864 181016
1552346 23181 57596 189079
1549144 23015 57650 199266
1785895 22828 55324 248742
1662335 21597 54203 244139
1629440 23005 61155 219777
1467430 22243 63908 180679
1202209 20729 67466 156369
1076982 18310 63739 149176
1039367 19427 56602 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!
Correlations for all pairs of data series (method=pearson) | | passagiers | bewegingen | cargo | auto | passagiers | 1 | 0.757 | -0.068 | 0.92 | bewegingen | 0.757 | 1 | 0.432 | 0.714 | cargo | -0.068 | 0.432 | 1 | -0.008 | auto | 0.92 | 0.714 | -0.008 | 1 |
Correlations for all pairs of data series with p-values | pair | Pearson r | Spearman rho | Kendall tau | passagiers;bewegingen | 0.7569 | 0.7462 | 0.5561 | p-value | (0) | (0) | (0) | passagiers;cargo | -0.0681 | -0.058 | -0.0243 | p-value | (0.5698) | (0.6278) | (0.7631) | passagiers;auto | 0.9203 | 0.939 | 0.7799 | p-value | (0) | (0) | (0) | bewegingen;cargo | 0.4325 | 0.3669 | 0.2399 | p-value | (1e-04) | (0.0015) | (0.0029) | bewegingen;auto | 0.714 | 0.7682 | 0.58 | p-value | (0) | (0) | (0) | cargo;auto | -0.0084 | -0.0065 | -0.0082 | p-value | (0.9441) | (0.9566) | (0.9187) |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Dec/27/t12934571813fln4u8lsmtupd8/17l2j1293457237.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/27/t12934571813fln4u8lsmtupd8/17l2j1293457237.ps (open in new window) |
| | Parameters (Session): | par1 = pearson ; | | Parameters (R input): | par1 = pearson ; | | 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=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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