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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 16 Nov 2009 01:38:02 -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/16/t1258360716kau5ll4r8yglpgf.htm/, Retrieved Fri, 02 Dec 2022 09:19:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57321, Retrieved Fri, 02 Dec 2022 09:19:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [WS6 Kendall Tau C...] [2009-11-16 08:38:02] [2694a35f9be9144abd040893a0238ab5] [Current]
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Dataseries X:
96.8	92.9	285351	325412
114.1	107.7	286602	326011
110.3	103.5	283042	328282
103.9	91.1	276687	317480
101.6	79.8	277915	317539
94.6	71.9	277128	313737
95.9	82.9	277103	312276
104.7	90.1	275037	309391
102.8	100.7	270150	302950
98.1	90.7	267140	300316
113.9	108.8	264993	304035
80.9	44.1	287259	333476
95.7	93.6	291186	337698
113.2	107.4	292300	335932
105.9	96.5	288186	323931
108.8	93.6	281477	313927
102.3	76.5	282656	314485
99	76.7	280190	313218
100.7	84	280408	309664
115.5	103.3	276836	302963
100.7	88.5	275216	298989
109.9	99	274352	298423
114.6	105.9	271311	301631
85.4	44.7	289802	329765
100.5	94	290726	335083
114.8	107.1	292300	327616
116.5	104.8	278506	309119
112.9	102.5	269826	295916
102	77.7	265861	291413
106	85.2	269034	291542
105.3	91.3	264176	284678
118.8	106.5	255198	276475
106.1	92.4	253353	272566
109.3	97.5	246057	264981
117.2	107	235372	263290
92.5	51.1	258556	296806
104.2	98.6	260993	303598
112.5	102.2	254663	286994
122.4	114.3	250643	276427
113.3	99.4	243422	266424
100	72.5	247105	267153
110.7	92.3	248541	268381
112.8	99.4	245039	262522
109.8	85.9	237080	255542
117.3	109.4	237085	253158
109.1	97.6	225554	243803
115.9	104.7	226839	250741
96	56.9	247934	280445
99.8	86.7	248333	285257
116.8	108.5	246969	270976
115.7	103.4	245098	261076
99.4	86.2	246263	255603
94.3	71	255765	260376
91	75.9	264319	263903
93.2	87.1	268347	264291
103.1	102	273046	263276
94.1	88.5	273963	262572
91.8	87.8	267430	256167
102.7	100.8	271993	264221
82.6	50.6	292710	293860




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57321&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]2 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=57321&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57321&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaleindustrie , Bouwnijverheid )0.6866516935457269.76996261670138e-15
tau( Totaleindustrie , Mannen )-0.2238552854720180.0115447589881397
tau( Totaleindustrie , Vrouwen )-0.1034190490566090.243135840298511
tau( Bouwnijverheid , Mannen )-0.1052036367376480.235467885319790
tau( Bouwnijverheid , Vrouwen )-0.05032515239664210.570258906746074
tau( Mannen , Vrouwen )0.7001978239406462.66453525910038e-15

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaleindustrie , Bouwnijverheid ) & 0.686651693545726 & 9.76996261670138e-15 \tabularnewline
tau( Totaleindustrie , Mannen ) & -0.223855285472018 & 0.0115447589881397 \tabularnewline
tau( Totaleindustrie , Vrouwen ) & -0.103419049056609 & 0.243135840298511 \tabularnewline
tau( Bouwnijverheid , Mannen ) & -0.105203636737648 & 0.235467885319790 \tabularnewline
tau( Bouwnijverheid , Vrouwen ) & -0.0503251523966421 & 0.570258906746074 \tabularnewline
tau( Mannen , Vrouwen ) & 0.700197823940646 & 2.66453525910038e-15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57321&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( Totaleindustrie , Bouwnijverheid )[/C][C]0.686651693545726[/C][C]9.76996261670138e-15[/C][/ROW]
[ROW][C]tau( Totaleindustrie , Mannen )[/C][C]-0.223855285472018[/C][C]0.0115447589881397[/C][/ROW]
[ROW][C]tau( Totaleindustrie , Vrouwen )[/C][C]-0.103419049056609[/C][C]0.243135840298511[/C][/ROW]
[ROW][C]tau( Bouwnijverheid , Mannen )[/C][C]-0.105203636737648[/C][C]0.235467885319790[/C][/ROW]
[ROW][C]tau( Bouwnijverheid , Vrouwen )[/C][C]-0.0503251523966421[/C][C]0.570258906746074[/C][/ROW]
[ROW][C]tau( Mannen , Vrouwen )[/C][C]0.700197823940646[/C][C]2.66453525910038e-15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57321&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57321&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( Totaleindustrie , Bouwnijverheid )0.6866516935457269.76996261670138e-15
tau( Totaleindustrie , Mannen )-0.2238552854720180.0115447589881397
tau( Totaleindustrie , Vrouwen )-0.1034190490566090.243135840298511
tau( Bouwnijverheid , Mannen )-0.1052036367376480.235467885319790
tau( Bouwnijverheid , Vrouwen )-0.05032515239664210.570258906746074
tau( Mannen , Vrouwen )0.7001978239406462.66453525910038e-15



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')