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Author

*Unverified author*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Thu, 29 Nov 2007 04:48:06 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/29/t11963362719exkh6c9nibaft2.htm/, Retrieved Fri, 03 May 2024 11:54:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7440, Retrieved Fri, 03 May 2024 11:54:28 +0000

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No (this computation is public)

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Estimated Impact

227

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [vraag 4] [2007-11-29 11:48:06] [c40c597932a04e0e43159741c7e63e4c] [Current]

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Dataseries X:

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21	0.09	-1584.2	4
16	1.07	-168.6	0
14	1.93	74.6	-4
11	1.51	-1147.9	1
14	0.40	1613.8	-1
12	-0.56	-512.3	4
14	0.10	-625.9	0
12	-0.07	-1409.0	-2
18	0.39	450.7	-6
15	-0.11	-378.0	1
13	-0.73	-502.8	-1
12	2.27	790.1	5
12	-0.99	14.5	4
16	0.61	-156.5	0
12	0.10	1900.3	-6
11	0.69	-961.2	4
18	-1.03	-582.0	-4
17	0.10	993.6	7
15	-0.48	-892.5	-6
17	0.82	1395.5	-1
19	-0.29	111.5	1
11	0.05	-754.8	-2
14	-0.68	469.5	-1
14	1.20	-306.7	6
13	0.53	42.0	-4
15	0.51	-381.1	-6
15	0.61	-27.0	2
12	0.67	-653.4	-2
10	0.00	904.9	2
13	-0.07	-285.0	0
13	0.09	-457.5	1
10	1.22	901.6	4
8	-1.57	-738.8	-5
10	0.02	115.1	3
14	-0.80	1302.8	-3
11	1.20	-1387.0	2
10	0.16	766.3	5
13	0.41	1325.1	-3
12	1.01	-897.0	1
10	0.47	-545.4	-1
11	-0.11	1937.4	3
12	-0.30	-1589.8	-2
12	-0.59	1351.8	0
15	-0.03	-623.2	3
11	-0.23	-394.1	-2
15	0.41	1306.0	-2
17	-0.37	-608.1	3
12	0.58	-435.5	-1
14	0.96	-130.1	5
15	1.78	-58.2	-3
15	0.07	239.7	0
13	0.79	329.8	-5

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7440&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7440&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( aankopen , indexcijfer )	-0.0159960130107531	0.873330206238579
tau( aankopen , uitvoer )	0.0693461143034035	0.488103748727698
tau( aankopen , sparen )	-0.0916406970527369	0.374227097041432
tau( indexcijfer , uitvoer )	0.0401061727463338	0.675689063340357
tau( indexcijfer , sparen )	0.0979733346662874	0.321516018910446
tau( uitvoer , sparen )	0	1

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( aankopen , indexcijfer ) & -0.0159960130107531 & 0.873330206238579 \tabularnewline
tau( aankopen , uitvoer ) & 0.0693461143034035 & 0.488103748727698 \tabularnewline
tau( aankopen , sparen
 ) & -0.0916406970527369 & 0.374227097041432 \tabularnewline
tau( indexcijfer , uitvoer ) & 0.0401061727463338 & 0.675689063340357 \tabularnewline
tau( indexcijfer , sparen
 ) & 0.0979733346662874 & 0.321516018910446 \tabularnewline
tau( uitvoer , sparen
 ) & 0 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7440&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( aankopen , indexcijfer )[/C][C]-0.0159960130107531[/C][C]0.873330206238579[/C][/ROW]
[ROW][C]tau( aankopen , uitvoer )[/C][C]0.0693461143034035[/C][C]0.488103748727698[/C][/ROW]
[ROW][C]tau( aankopen , sparen
 )[/C][C]-0.0916406970527369[/C][C]0.374227097041432[/C][/ROW]
[ROW][C]tau( indexcijfer , uitvoer )[/C][C]0.0401061727463338[/C][C]0.675689063340357[/C][/ROW]
[ROW][C]tau( indexcijfer , sparen
 )[/C][C]0.0979733346662874[/C][C]0.321516018910446[/C][/ROW]
[ROW][C]tau( uitvoer , sparen
 )[/C][C]0[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7440&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( aankopen , indexcijfer )	-0.0159960130107531	0.873330206238579
tau( aankopen , uitvoer )	0.0693461143034035	0.488103748727698
tau( aankopen , sparen )	-0.0916406970527369	0.374227097041432
tau( indexcijfer , uitvoer )	0.0401061727463338	0.675689063340357
tau( indexcijfer , sparen )	0.0979733346662874	0.321516018910446
tau( uitvoer , sparen )	0	1

Figure 1

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Postscript link

PDF link

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')

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Input Parameters & R Code