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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 23 Dec 2008 10:38:23 -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/2008/Dec/23/t12300539295pz1120oit6su0q.htm/, Retrieved Sat, 18 May 2024 11:52:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36363, Retrieved Sat, 18 May 2024 11:52:28 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

122

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

-       [Kendall tau Correlation Matrix] [] [2008-12-23 17:38:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD    [Kendall tau Correlation Matrix] [] [2008-12-23 18:02:00] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Boxplots

104.3	97.5	0.2	513
103.9	97.1	0.8	503
103.9	97.5	1.2	471
103.9	98.5	4.5	471
108.0	100.5	0.4	476
108.0	102.8	5.9	475
108.0	105.2	6.5	470
108.0	107.4	12.8	461
108.0	108.0	4.2	455
108.0	107.6	-3.3	456
108.0	107.0	-12.5	517
108.0	105.8	-16.3	525
108.0	104.3	-10.5	523
108.0	103.8	-11.8	519
108.0	104.4	-11.4	509
108.0	106.2	-17.7	512
108.0	108.5	-17.3	519
108.0	109.8	-18.6	517
108.0	110.3	-17.9	510
108.0	109.7	-21.4	509
108.0	108.7	-19.4	501
108.0	108.9	-15.5	507
108.0	109.7	-7.7	569
108.0	110.4	-0.7	580
108.0	111.4	-1.6	578
108.0	112.6	1.4	565
108.0	113.6	0.7	547
108.2	113.8	9.5	555
112.3	113.2	1.4	562
111.3	113.6	4.1	561
111.3	113.9	6.6	555
115.3	113.4	18.4	544
117.2	113.8	16.9	537
118.3	116.0	9.2	543
118.3	118.3	-4.3	594
118.3	120.5	-5.9	611
119.0	121.9	-7.7	613
120.6	121.2	-5.4	611
122.6	120.2	-2.3	594
122.6	120.6	-4.8	595
127.4	110.2	2.3	591
125.9	109.2	-5.2	589
121.5	108.7	-10	584
118.8	109.9	-17.1	573
121.6	112.2	-14.4	567
122.3	114.5	-3.9	569
122.7	114.7	3.7	621
120.8	113.2	6.5	629
120.1	112.1	0.9	628
120.1	112.6	-4.1	612
120.1	113.6	-7	595
120.1	114.0	-12.2	597
128.4	114.5	-2.5	593
129.8	115.0	4.4	590
129.8	114.9	13.7	580
128.6	114.8	12.3	574
128.6	114.3	13.4	573
133.7	113.7	2.2	573
130.0	114.5	1.7	620
125.9	116.0	-7.2	626
129.4	116.6	-4.8	620
129.4	116.2	-2.9	588
130.6	115.7	-2.4	566
130.6	115.6	-2.5	557
130.6	115.2	-5.3	561
130.8	115.0	-7.1	549
129.7	115.7	-8	532
125.8	115.9	-8.9	526
126.0	115.6	-7.7	511
125.6	115.9	-1.1	499
125.4	117.0	4	555
124.7	117.9	9.6	565
126.9	118.8	10.9	542
129.1	119.9	13	527

Summary of computational 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 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=36363&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=36363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36363&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 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( energieprijzen , industri�le_productie )	0.547356477804861	3.43036710148681e-11
tau( energieprijzen , nieuwe_personenwagens )	0.136878223655871	0.0968986781056198
tau( energieprijzen , werkloosheid )	0.396975972090763	1.54511457983730e-06
tau( industri�le_productie , nieuwe_personenwagens )	0.115656577775366	0.146566867935769
tau( industri�le_productie , werkloosheid )	0.381591212138954	1.74691812637739e-06
tau( nieuwe_personenwagens , werkloosheid )	0.0290125211899604	0.715774150401436

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( energieprijzen , industri�le_productie ) & 0.547356477804861 & 3.43036710148681e-11 \tabularnewline
tau( energieprijzen , nieuwe_personenwagens ) & 0.136878223655871 & 0.0968986781056198 \tabularnewline
tau( energieprijzen , werkloosheid ) & 0.396975972090763 & 1.54511457983730e-06 \tabularnewline
tau( industri�le_productie , nieuwe_personenwagens ) & 0.115656577775366 & 0.146566867935769 \tabularnewline
tau( industri�le_productie , werkloosheid ) & 0.381591212138954 & 1.74691812637739e-06 \tabularnewline
tau( nieuwe_personenwagens , werkloosheid ) & 0.0290125211899604 & 0.715774150401436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36363&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( energieprijzen , industri�le_productie )[/C][C]0.547356477804861[/C][C]3.43036710148681e-11[/C][/ROW]
[ROW][C]tau( energieprijzen , nieuwe_personenwagens )[/C][C]0.136878223655871[/C][C]0.0968986781056198[/C][/ROW]
[ROW][C]tau( energieprijzen , werkloosheid )[/C][C]0.396975972090763[/C][C]1.54511457983730e-06[/C][/ROW]
[ROW][C]tau( industri�le_productie , nieuwe_personenwagens )[/C][C]0.115656577775366[/C][C]0.146566867935769[/C][/ROW]
[ROW][C]tau( industri�le_productie , werkloosheid )[/C][C]0.381591212138954[/C][C]1.74691812637739e-06[/C][/ROW]
[ROW][C]tau( nieuwe_personenwagens , werkloosheid )[/C][C]0.0290125211899604[/C][C]0.715774150401436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36363&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36363&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( energieprijzen , industri�le_productie )	0.547356477804861	3.43036710148681e-11
tau( energieprijzen , nieuwe_personenwagens )	0.136878223655871	0.0968986781056198
tau( energieprijzen , werkloosheid )	0.396975972090763	1.54511457983730e-06
tau( industri�le_productie , nieuwe_personenwagens )	0.115656577775366	0.146566867935769
tau( industri�le_productie , werkloosheid )	0.381591212138954	1.74691812637739e-06
tau( nieuwe_personenwagens , werkloosheid )	0.0290125211899604	0.715774150401436

Figure 1

PNG link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code