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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 29 Nov 2007 13:44:49 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/29/t1196369169g70fdf8gnkmosr3.htm/, Retrieved Fri, 03 May 2024 12:31:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7604, Retrieved Fri, 03 May 2024 12:31:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2007-11-29 20:44:49] [89d26cd0a44959d9c8b169f34617598a] [Current]
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Dataseries X:
0,1	-457,5	8	0,38
0,1	901,6	6,7	-0,09
-0,4	-738,8	15,5	-0,3
0	115,1	7,9	-0,08
0	1302,8	8,9	0,08
-1,77636E-15	-1387	21,1	-0,78
0,1	766,3	-10	1,48
0	1325,1	0,3	-0,35
-0,8	-897	7,8	0,04
0	-545,4	0,2	-0,64
0	1937,4	4	-0,43
1,1	-1589,8	15,8	0,14
-1,77636E-15	1351,8	2,6	-0,45
0	-623,2	6,6	0,09
-0,9	-394,1	4,5	0,09
0	1306	-3,8	-0,08
-0,1	-608,1	6,8	-0,01
0,1	-435,5	6,8	0,32
0	-130,1	8,1	-1,97
0	-58,2	1,2	0,63
0,8	239,7	-0,6	0,27
0,1	329,8	3,8	0,18
-0,2	-1073,1	7,7	0,06
-1	-370,7	-5,5	0,04
-0,1	929,8	-10	0,49
0	103,8	-1,1	0,97
0,6	-1504,4	-1,1	0,37
0	1795,2	-3,9	0,16
0	-333,8	0,3	0,08
0	188,4	-12,5	-25,73
0	-356,1	2,3	-0,41
-0,1	780,7	6,9	0,2
0,2	-2617,6	10,8	-0,72
0	2898,8	-2,2	0,62
0,1	-1021,2	8,2	-0,01
-0,8	107,9	3,8	-0,2
0	-293	4,1	-0,19
-0,1	-761,3	5,1	-0,88
0,1	1923,1	0,7	-0,27
0	-1314,5	12,4	-0,1
-0,2	-1568	6	0,25
0,1	2105,6	3,3	25,78
-0,1	-586,4	4,7	0,76
-0,1	-544,1	1,2	-0,38
0,3	1391,9	-0,9	0,05
-0,2	-804,8	2,9	-0,96
-0,2	471,7	-2	0,3
0,5	842	3,1	0
		11,3	




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=7604&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=7604&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7604&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkloosheid , uitvoer )0.1492877145160520.154156630011309
tau( werkloosheid , consumptiegoederen )-0.07437019330525050.478811438291239
tau( werkloosheid , woninghuur )0.1691199317308010.107149825451358
tau( uitvoer , consumptiegoederen )-0.3699926849203740.000182675773446095
tau( uitvoer , woninghuur )0.09799766592716950.321458439652402
tau( consumptiegoederen , woninghuur )-0.1905168905131780.0544791050074712

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheid , uitvoer ) & 0.149287714516052 & 0.154156630011309 \tabularnewline
tau( werkloosheid , consumptiegoederen ) & -0.0743701933052505 & 0.478811438291239 \tabularnewline
tau( werkloosheid , woninghuur ) & 0.169119931730801 & 0.107149825451358 \tabularnewline
tau( uitvoer , consumptiegoederen ) & -0.369992684920374 & 0.000182675773446095 \tabularnewline
tau( uitvoer , woninghuur ) & 0.0979976659271695 & 0.321458439652402 \tabularnewline
tau( consumptiegoederen , woninghuur ) & -0.190516890513178 & 0.0544791050074712 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7604&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( werkloosheid , uitvoer )[/C][C]0.149287714516052[/C][C]0.154156630011309[/C][/ROW]
[ROW][C]tau( werkloosheid , consumptiegoederen )[/C][C]-0.0743701933052505[/C][C]0.478811438291239[/C][/ROW]
[ROW][C]tau( werkloosheid , woninghuur )[/C][C]0.169119931730801[/C][C]0.107149825451358[/C][/ROW]
[ROW][C]tau( uitvoer , consumptiegoederen )[/C][C]-0.369992684920374[/C][C]0.000182675773446095[/C][/ROW]
[ROW][C]tau( uitvoer , woninghuur )[/C][C]0.0979976659271695[/C][C]0.321458439652402[/C][/ROW]
[ROW][C]tau( consumptiegoederen , woninghuur )[/C][C]-0.190516890513178[/C][C]0.0544791050074712[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7604&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7604&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
pairtaup-value
tau( werkloosheid , uitvoer )0.1492877145160520.154156630011309
tau( werkloosheid , consumptiegoederen )-0.07437019330525050.478811438291239
tau( werkloosheid , woninghuur )0.1691199317308010.107149825451358
tau( uitvoer , consumptiegoederen )-0.3699926849203740.000182675773446095
tau( uitvoer , woninghuur )0.09799766592716950.321458439652402
tau( consumptiegoederen , woninghuur )-0.1905168905131780.0544791050074712



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')