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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 20 Dec 2007 07:37:54 -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/Dec/20/t11981603970s22ilcbnvovbu5.htm/, Retrieved Mon, 29 Apr 2024 14:07:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4723, Retrieved Mon, 29 Apr 2024 14:07:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [kendall tau] [2007-12-20 14:37:54] [7c5f7a910a5108d789a748f71ee8daf4] [Current]
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Dataseries X:
93,9	103,8	101,2	108,1
89,8	100,8	93,1	105,4
93,4	110,6	84,2	114,6
101,5	104,0	85,8	106,9
110,4	112,6	91,8	115,9
105,9	107,3	92,4	109,8
108,4	98,9	80,3	101,8
113,9	109,8	79,7	114,2
86,1	104,9	62,5	110,8
69,4	102,2	57,1	108,4
101,2	123,9	100,8	127,5
100,5	124,9	100,7	128,6
98,0	112,7	86,2	116,6
106,6	121,9	83,2	127,4
90,1	100,6	71,7	105,0
96,9	104,3	77,5	108,3
125,9	120,4	89,8	125,0
112,0	107,5	80,3	111,6
100,0	102,9	78,7	106,5
123,9	125,6	93,8	130,3
79,8	107,5	57,6	115,0
83,4	108,8	60,6	116,1
113,6	128,4	91,0	134,0
112,9	121,1	85,3	126,5
104,0	119,5	77,4	125,8
109,9	128,7	77,3	136,4
99,0	108,7	68,3	114,9
106,3	105,5	69,9	110,9
128,9	119,8	81,7	125,5
111,1	111,3	75,1	116,8
102,9	110,6	69,9	116,8
130,0	120,1	84,0	125,5
87,0	97,5	54,3	104,2
87,5	107,7	60,0	115,1
117,6	127,3	89,9	132,8
103,4	117,2	77,0	123,3
110,8	119,8	85,3	124,8
112,6	116,2	77,6	122,0
102,5	111,0	69,2	117,4
112,4	112,4	75,5	117,9
135,6	130,6	85,7	137,4
105,1	109,1	72,2	114,6
127,7	118,8	79,9	124,7
137,0	123,9	85,3	129,6
91,0	101,6	52,2	109,4
90,5	112,8	61,2	120,9
122,4	128,0	82,4	134,9
123,3	129,6	85,4	136,3
124,3	125,8	78,2	133,2
120,0	119,5	70,2	127,2
118,1	115,7	70,2	122,7
119,0	113,6	69,3	120,5
142,7	129,7	77,5	137,8
123,6	112,0	66,1	119,1
129,6	116,8	69,0	124,3
151,6	127,0	79,2	134,4
110,4	112,1	56,2	121,1
99,3	113,3	64,5	121,0
129,1	120,5	77,4	127,0
134,1	127,7	88,5	133,4




Summary of compuational 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 compuational 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=4723&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]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=4723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4723&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( invest , totaal )0.5240524013328493.49066864302472e-09
tau( invest , duurzame )0.2305300480160090.00942263458764536
tau( invest , nt-duurzame )0.5101810770825748.74874306333595e-09
tau( totaal , duurzame )0.3147151691341920.000399017485550157
tau( totaal , nt-duurzame )0.9161949373716650
tau( duurzame , nt-duurzame )0.2306604752106110.00941975016899765

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( invest , totaal ) & 0.524052401332849 & 3.49066864302472e-09 \tabularnewline
tau( invest , duurzame ) & 0.230530048016009 & 0.00942263458764536 \tabularnewline
tau( invest , nt-duurzame
 ) & 0.510181077082574 & 8.74874306333595e-09 \tabularnewline
tau( totaal , duurzame ) & 0.314715169134192 & 0.000399017485550157 \tabularnewline
tau( totaal , nt-duurzame
 ) & 0.916194937371665 & 0 \tabularnewline
tau( duurzame , nt-duurzame
 ) & 0.230660475210611 & 0.00941975016899765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4723&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( invest , totaal )[/C][C]0.524052401332849[/C][C]3.49066864302472e-09[/C][/ROW]
[ROW][C]tau( invest , duurzame )[/C][C]0.230530048016009[/C][C]0.00942263458764536[/C][/ROW]
[ROW][C]tau( invest , nt-duurzame
 )[/C][C]0.510181077082574[/C][C]8.74874306333595e-09[/C][/ROW]
[ROW][C]tau( totaal , duurzame )[/C][C]0.314715169134192[/C][C]0.000399017485550157[/C][/ROW]
[ROW][C]tau( totaal , nt-duurzame
 )[/C][C]0.916194937371665[/C][C]0[/C][/ROW]
[ROW][C]tau( duurzame , nt-duurzame
 )[/C][C]0.230660475210611[/C][C]0.00941975016899765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4723&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( invest , totaal )0.5240524013328493.49066864302472e-09
tau( invest , duurzame )0.2305300480160090.00942263458764536
tau( invest , nt-duurzame )0.5101810770825748.74874306333595e-09
tau( totaal , duurzame )0.3147151691341920.000399017485550157
tau( totaal , nt-duurzame )0.9161949373716650
tau( duurzame , nt-duurzame )0.2306604752106110.00941975016899765



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')