| | *The author of this computation has been verified* | R Software Module: Patrick.Wessa/rwasp_pairs.wasp (opens new window with default values) | Title produced by software: Kendall tau Correlation Matrix | Date of computation: Fri, 24 Dec 2010 17:07:08 +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/24/t12932103615spzx46qt661zd8.htm/, Retrieved Fri, 24 Dec 2010 18:06:02 +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/24/t12932103615spzx46qt661zd8.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 « | 9506 1775
8704 2197
10079 2920
8993 4240
9957 5415
10240 6136
10098 6719
10090 6234
9867 7152
9736 3646
9040 2165
9232 2803
9520 1615
9217 2350
9868 3350
9455 3536
9984 5834
9556 6767
10190 5993
9906 7276
9824 5641
9972 3477
9185 2247
9765 2466
9838 1567
9084 2237
9643 2598
10051 3729
9987 5715
9827 5776
10491 5852
9722 6878
9472 5488
9728 3583
8510 2054
9511 2282
9492 1552
8638 2261
9792 2446
9605 3519
9237 5161
9533 5085
10293 5711
9938 6057
9984 5224
9563 3363
8871 1899
9301 2115
9215 1491
8834 2061
9998 2419
9604 3430
9507 4778
9718 4862
10095 6176
9583 5664
9883 5529
9365 3418
8919 1941
9449 2402
9769 1579
9321 2146
9939 2462
9336 3695
10195 4831
9464 5134
10010 6250
10213 5760
9563 6249
9890 2917
9305 1741
9391 2359
9743 1511
8587 2059
9731 2635
9563 2867
9998 4403
9437 5720
10038 4502
9918 5749
9252 5627
9737 2846
9035 1762
9133 2429
9487 1169
8700 2154
9627 2249
8947 2687
9283 4359
8829 5382
9947 4459
9628 6398
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) | | births | marriages | births | 1 | 0.472 | marriages | 0.472 | 1 |
Correlations for all pairs of data series with p-values | pair | Pearson r | Spearman rho | Kendall tau | births;marriages | 0.4717 | 0.4907 | 0.3313 | p-value | (0) | (0) | (0) |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Dec/24/t12932103615spzx46qt661zd8/1ohfn1293210426.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/24/t12932103615spzx46qt661zd8/1ohfn1293210426.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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This work is licensed under a
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Software written by Ed van Stee & Patrick Wessa
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