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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 computationThu, 12 Nov 2009 08:44:08 -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/12/t1258040908085k8n00n80nq5v.htm/, Retrieved Fri, 03 May 2024 17:32:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56158, Retrieved Fri, 03 May 2024 17:32:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
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] [Workshop 6 - Kend...] [2009-11-08 14:14:54] [1646a2766cb8c4a6f9d3b2fffef409b3]
-           [Kendall tau Correlation Matrix] [] [2009-11-12 15:44:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P         [Kendall tau Correlation Matrix] [] [2009-11-13 13:13:44] [a8daa77ccfcc69402c6935b1fb50efb8]
-   PD          [Kendall tau Correlation Matrix] [] [2009-12-24 03:23:39] [74be16979710d4c4e7c6647856088456]
-   PD          [Kendall tau Correlation Matrix] [] [2009-12-24 03:30:04] [74be16979710d4c4e7c6647856088456]
-   PD          [Kendall tau Correlation Matrix] [] [2009-12-24 03:39:06] [74be16979710d4c4e7c6647856088456]
-   PD          [Kendall tau Correlation Matrix] [] [2009-12-24 03:43:14] [74be16979710d4c4e7c6647856088456]
-             [Kendall tau Correlation Matrix] [workshop 6] [2009-11-13 22:01:09] [24c4941ee50deadff4640c9c09cc70cb]
-             [Kendall tau Correlation Matrix] [] [2009-11-25 10:43:59] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
269645	308347	1.8	8.4
267037	298427	1.6	8.4
258113	289231	1.9	8.4
262813	291975	1.7	8.6
267413	294912	1.6	8.9
267366	293488	1.3	8.8
264777	290555	1.1	8.3
258863	284736	1.9	7.5
254844	281818	2.6	7.2
254868	287854	2.3	7.4
277267	316263	2.4	8.8
285351	325412	2.2	9.3
286602	326011	2	9.3
283042	328282	2.9	8.7
276687	317480	2.6	8.2
277915	317539	2.3	8.3
277128	313737	2.3	8.5
277103	312276	2.6	8.6
275037	309391	3.1	8.5
270150	302950	2.8	8.2
267140	300316	2.5	8.1
264993	304035	2.9	7.9
287259	333476	3.1	8.6
291186	337698	3.1	8.7
292300	335932	3.2	8.7
288186	323931	2.5	8.5
281477	313927	2.6	8.4
282656	314485	2.9	8.5
280190	313218	2.6	8.7
280408	309664	2.4	8.7
276836	302963	1.7	8.6
275216	298989	2	8.5
274352	298423	2.2	8.3
271311	301631	1.9	8
289802	329765	1.6	8.2
290726	335083	1.6	8.1
292300	327616	1.2	8.1
278506	309119	1.2	8
269826	295916	1.5	7.9
265861	291413	1.6	7.9
269034	291542	1.7	8
264176	284678	1.8	8
255198	276475	1.8	7.9
253353	272566	1.8	8
246057	264981	1.3	7.7
235372	263290	1.3	7.2
258556	296806	1.4	7.5
260993	303598	1.1	7.3
254663	286994	1.5	7
250643	276427	2.2	7
243422	266424	2.9	7
247105	267153	3.1	7.2
248541	268381	3.5	7.3
245039	262522	3.6	7.1
237080	255542	4.4	6.8
237085	253158	4.2	6.4
225554	243803	5.2	6.1
226839	250741	5.8	6.5
247934	280445	5.9	7.7
248333	285257	5.4	7.9
246969	270976	5.5	7.5
245098	261076	4.7	6.9
246263	255603	3.1	6.6
255765	260376	2.6	6.9
264319	263903	2.3	7.7
268347	264291	1.9	8
273046	263276	0.6	8
273963	262572	0.6	7.7
267430	256167	-0.4	7.3
271993	264221	-1.1	7.4
292710	293860	-1.7	8.1
295881	300713	-0.8	8.3




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=56158&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=56158&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56158&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( man , vrouw )0.6867540730158330
tau( man , infl )-0.1850874969845810.0233027795919952
tau( man , totw )0.5944085726829884.10116385296533e-13
tau( vrouw , infl )-0.02342924019554400.773957781442624
tau( vrouw , totw )0.6170422238911575.08482145278322e-14
tau( infl , totw )-0.0761605875652090.359216671590246

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( man , vrouw ) & 0.686754073015833 & 0 \tabularnewline
tau( man , infl ) & -0.185087496984581 & 0.0233027795919952 \tabularnewline
tau( man , totw ) & 0.594408572682988 & 4.10116385296533e-13 \tabularnewline
tau( vrouw , infl ) & -0.0234292401955440 & 0.773957781442624 \tabularnewline
tau( vrouw , totw ) & 0.617042223891157 & 5.08482145278322e-14 \tabularnewline
tau( infl , totw ) & -0.076160587565209 & 0.359216671590246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56158&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( man , vrouw )[/C][C]0.686754073015833[/C][C]0[/C][/ROW]
[ROW][C]tau( man , infl )[/C][C]-0.185087496984581[/C][C]0.0233027795919952[/C][/ROW]
[ROW][C]tau( man , totw )[/C][C]0.594408572682988[/C][C]4.10116385296533e-13[/C][/ROW]
[ROW][C]tau( vrouw , infl )[/C][C]-0.0234292401955440[/C][C]0.773957781442624[/C][/ROW]
[ROW][C]tau( vrouw , totw )[/C][C]0.617042223891157[/C][C]5.08482145278322e-14[/C][/ROW]
[ROW][C]tau( infl , totw )[/C][C]-0.076160587565209[/C][C]0.359216671590246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56158&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56158&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( man , vrouw )0.6867540730158330
tau( man , infl )-0.1850874969845810.0233027795919952
tau( man , totw )0.5944085726829884.10116385296533e-13
tau( vrouw , infl )-0.02342924019554400.773957781442624
tau( vrouw , totw )0.6170422238911575.08482145278322e-14
tau( infl , totw )-0.0761605875652090.359216671590246



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')