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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 11 Nov 2009 09:48:08 -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/2009/Nov/11/t12579581360dtldl2xv5ccsw4.htm/, Retrieved Thu, 28 Mar 2024 19:37:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55769, Retrieved Thu, 28 Mar 2024 19:37:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [] [2009-11-11 16:48:08] [873be88d67c17ca20f1ec7e5d8eb10d1] [Current]
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Dataseries X:
8.9	45	95.1	95.05
8.8	43	97	96.84
8.3	43	112.7	96.92
7.5	49	102.9	97.44
7.2	42	97.4	97.78
7.4	33	111.4	97.69
8.8	35	87.4	96.67
9.3	35	96.8	98.29
9.3	36	114.1	98.2
8.7	41	110.3	98.71
8.2	44	103.9	98.54
8.3	42	101.6	98.2
8.5	48	94.6	96.92
8.6	47	95.9	99.06
8.5	40	104.7	99.65
8.2	42	102.8	99.82
8.1	50	98.1	99.99
7.9	54	113.9	100.33
8.6	45	80.9	99.31
8.7	47	95.7	101.1
8.7	49	113.2	101.1
8.5	37	105.9	100.93
8.4	41	108.8	100.85
8.5	34	102.3	100.93
8.7	30	99	99.6
8.7	33	100.7	101.88
8.6	37	115.5	101.81
8.5	33	100.7	102.38
8.3	31	109.9	102.74
8	28	114.6	102.82
8.2	26	85.4	101.72
8.1	21	100.5	103.47
8.1	24	114.8	102.98
8	7	116.5	102.68
7.9	12	112.9	102.9
7.9	36	102	103.03
8	21	106	101.29
8	21	105.3	103.69
7.9	21	118.8	103.68
8	13	106.1	104.2
7.7	18	109.3	104.08
7.2	18	117.2	104.16
7.5	17	92.5	103.05
7.3	13	104.2	104.66
7	14	112.5	104.46
7	3	122.4	104.95
7	10	113.3	105.85
7.2	5	100	106.23
7.3	15	110.7	104.86
7.1	9	112.8	107.44
6.8	6	109.8	108.23
6.4	14	117.3	108.45
6.1	17	109.1	109.39
6.5	16	115.9	110.15
7.7	23	96	109.13
7.9	30	99.8	110.28
7.5	31	116.8	110.17
6.9	47	115.7	109.99
6.6	62	99.4	109.26
6.9	69	94.3	109.11




Summary of computational 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 computational 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=55769&T=0

[TABLE]
[ROW][C]Summary of computational 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=55769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55769&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 computational 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( Werkloosheidsgraad , Vertrouwensindicator )0.3488314244871650.000121426738434627
tau( Werkloosheidsgraad , Industrie )-0.2678269287878790.00296171727193783
tau( Werkloosheidsgraad , Consumptie )-0.5995193356096632.99659443919952e-11
tau( Vertrouwensindicator , Industrie )-0.2848275620220910.00141708243843970
tau( Vertrouwensindicator , Consumptie )-0.4412874085703497.80442695903459e-07
tau( Industrie , Consumptie )0.2551627510094120.00401809086397487

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Werkloosheidsgraad , Vertrouwensindicator ) & 0.348831424487165 & 0.000121426738434627 \tabularnewline
tau( Werkloosheidsgraad , Industrie ) & -0.267826928787879 & 0.00296171727193783 \tabularnewline
tau( Werkloosheidsgraad , Consumptie ) & -0.599519335609663 & 2.99659443919952e-11 \tabularnewline
tau( Vertrouwensindicator , Industrie ) & -0.284827562022091 & 0.00141708243843970 \tabularnewline
tau( Vertrouwensindicator , Consumptie ) & -0.441287408570349 & 7.80442695903459e-07 \tabularnewline
tau( Industrie , Consumptie ) & 0.255162751009412 & 0.00401809086397487 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55769&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( Werkloosheidsgraad , Vertrouwensindicator )[/C][C]0.348831424487165[/C][C]0.000121426738434627[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , Industrie )[/C][C]-0.267826928787879[/C][C]0.00296171727193783[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , Consumptie )[/C][C]-0.599519335609663[/C][C]2.99659443919952e-11[/C][/ROW]
[ROW][C]tau( Vertrouwensindicator , Industrie )[/C][C]-0.284827562022091[/C][C]0.00141708243843970[/C][/ROW]
[ROW][C]tau( Vertrouwensindicator , Consumptie )[/C][C]-0.441287408570349[/C][C]7.80442695903459e-07[/C][/ROW]
[ROW][C]tau( Industrie , Consumptie )[/C][C]0.255162751009412[/C][C]0.00401809086397487[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55769&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( Werkloosheidsgraad , Vertrouwensindicator )0.3488314244871650.000121426738434627
tau( Werkloosheidsgraad , Industrie )-0.2678269287878790.00296171727193783
tau( Werkloosheidsgraad , Consumptie )-0.5995193356096632.99659443919952e-11
tau( Vertrouwensindicator , Industrie )-0.2848275620220910.00141708243843970
tau( Vertrouwensindicator , Consumptie )-0.4412874085703497.80442695903459e-07
tau( Industrie , Consumptie )0.2551627510094120.00401809086397487



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')