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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 13 Dec 2007 04:48:53 -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/13/t1197545806i25xf5o0cks3u99.htm/, Retrieved Sun, 05 May 2024 17:59:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3456, Retrieved Sun, 05 May 2024 17:59:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKendall Tau Correlation matrix
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2007-12-13 11:48:53] [0cecb02636bfe8ebd97a7fef80b2b9e7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.9	93.9	103.8	101.2	108.1
107.1	89.8	100.8	93.1	105.4
99.3	93.4	110.6	84.2	114.6
99.2	101.5	104.0	85.8	106.9
108.3	110.4	112.6	91.8	115.9
105.6	105.9	107.3	92.4	109.8
99.5	108.4	98.9	80.3	101.8
107.4	113.9	109.8	79.7	114.2
93.1	86.1	104.9	62.5	110.8
88.1	69.4	102.2	57.1	108.4
110.7	101.2	123.9	100.8	127.5
113.1	100.5	124.9	100.7	128.6
99.6	98.0	112.7	86.2	116.6
93.6	106.6	121.9	83.2	127.4
98.6	90.1	100.6	71.7	105.0
99.6	96.9	104.3	77.5	108.3
114.3	125.9	120.4	89.8	125.0
107.8	112.0	107.5	80.3	111.6
101.2	100.0	102.9	78.7	106.5
112.5	123.9	125.6	93.8	130.3
100.5	79.8	107.5	57.6	115.0
93.9	83.4	108.8	60.6	116.1
116.2	113.6	128.4	91.0	134.0
112.0	112.9	121.1	85.3	126.5
106.4	104.0	119.5	77.4	125.8
95.7	109.9	128.7	77.3	136.4
96.0	99.0	108.7	68.3	114.9
95.8	106.3	105.5	69.9	110.9
103.0	128.9	119.8	81.7	125.5
102.2	111.1	111.3	75.1	116.8
98.4	102.9	110.6	69.9	116.8
111.4	130.0	120.1	84.0	125.5
86.6	87.0	97.5	54.3	104.2
91.3	87.5	107.7	60.0	115.1
107.9	117.6	127.3	89.9	132.8
101.8	103.4	117.2	77.0	123.3
104.4	110.8	119.8	85.3	124.8
93.4	112.6	116.2	77.6	122.0
100.1	102.5	111.0	69.2	117.4
98.5	112.4	112.4	75.5	117.9
112.9	135.6	130.6	85.7	137.4
101.4	105.1	109.1	72.2	114.6
107.1	127.7	118.8	79.9	124.7
110.8	137.0	123.9	85.3	129.6
90.3	91.0	101.6	52.2	109.4
95.5	90.5	112.8	61.2	120.9
111.4	122.4	128.0	82.4	134.9
113.0	123.3	129.6	85.4	136.3
107.5	124.3	125.8	78.2	133.2
95.9	120.0	119.5	70.2	127.2
106.3	118.1	115.7	70.2	122.7
105.2	119.0	113.6	69.3	120.5
117.2	142.7	129.7	77.5	137.8
106.9	123.6	112.0	66.1	119.1
108.2	129.6	116.8	69.0	124.3
113.0	151.6	127.0	79.2	134.4
97.2	110.4	112.1	56.2	121.1
100.2	99.3	113.3	64.5	121.0
109.7	129.1	120.5	77.4	127.0
119.1	134.1	127.7	88.5	133.4

Tables (Output of Computation)





Summary of compuational 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 compuational 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=3456&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]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=3456&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3456&T=0

As an alternative you can also use a QR Code:  
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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Int.G , Invest.G )0.501415148575491.59022555124011e-08
tau( Int.G , Tot.C )0.4861189801699724.41546792462333e-08
tau( Int.G , Duurz.C )0.4836973680566965.2720303012066e-08
tau( Int.G , N-Duurz.C )0.4360136599358369.0242689254616e-07
tau( Invest.G , Tot.C )0.5240524013328493.49066864302472e-09
tau( Invest.G , Duurz.C )0.2305300480160090.00942263458764536
tau( Invest.G , N-Duurz.C )0.5101810770825748.74874306333595e-09
tau( Tot.C , Duurz.C )0.3147151691341920.000399017485550157
tau( Tot.C , N-Duurz.C )0.9161949373716650
tau( Duurz.C , N-Duurz.C )0.2306604752106110.00941975016899765

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Int.G , Invest.G ) & 0.50141514857549 & 1.59022555124011e-08 \tabularnewline
tau( Int.G , Tot.C ) & 0.486118980169972 & 4.41546792462333e-08 \tabularnewline
tau( Int.G , Duurz.C ) & 0.483697368056696 & 5.2720303012066e-08 \tabularnewline
tau( Int.G , N-Duurz.C

 ) & 0.436013659935836 & 9.0242689254616e-07 \tabularnewline
tau( Invest.G , Tot.C ) & 0.524052401332849 & 3.49066864302472e-09 \tabularnewline
tau( Invest.G , Duurz.C ) & 0.230530048016009 & 0.00942263458764536 \tabularnewline
tau( Invest.G , N-Duurz.C

 ) & 0.510181077082574 & 8.74874306333595e-09 \tabularnewline
tau( Tot.C , Duurz.C ) & 0.314715169134192 & 0.000399017485550157 \tabularnewline
tau( Tot.C , N-Duurz.C

 ) & 0.916194937371665 & 0 \tabularnewline
tau( Duurz.C , N-Duurz.C

 ) & 0.230660475210611 & 0.00941975016899765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3456&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( Int.G , Invest.G )[/C][C]0.50141514857549[/C][C]1.59022555124011e-08[/C][/ROW]
[ROW][C]tau( Int.G , Tot.C )[/C][C]0.486118980169972[/C][C]4.41546792462333e-08[/C][/ROW]
[ROW][C]tau( Int.G , Duurz.C )[/C][C]0.483697368056696[/C][C]5.2720303012066e-08[/C][/ROW]
[ROW][C]tau( Int.G , N-Duurz.C

 )[/C][C]0.436013659935836[/C][C]9.0242689254616e-07[/C][/ROW]
[ROW][C]tau( Invest.G , Tot.C )[/C][C]0.524052401332849[/C][C]3.49066864302472e-09[/C][/ROW]
[ROW][C]tau( Invest.G , Duurz.C )[/C][C]0.230530048016009[/C][C]0.00942263458764536[/C][/ROW]
[ROW][C]tau( Invest.G , N-Duurz.C

 )[/C][C]0.510181077082574[/C][C]8.74874306333595e-09[/C][/ROW]
[ROW][C]tau( Tot.C , Duurz.C )[/C][C]0.314715169134192[/C][C]0.000399017485550157[/C][/ROW]
[ROW][C]tau( Tot.C , N-Duurz.C

 )[/C][C]0.916194937371665[/C][C]0[/C][/ROW]
[ROW][C]tau( Duurz.C , N-Duurz.C

 )[/C][C]0.230660475210611[/C][C]0.00941975016899765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3456&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3456&T=1

As an alternative you can also use a QR Code:  
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( Int.G , Invest.G )0.501415148575491.59022555124011e-08
tau( Int.G , Tot.C )0.4861189801699724.41546792462333e-08
tau( Int.G , Duurz.C )0.4836973680566965.2720303012066e-08
tau( Int.G , N-Duurz.C )0.4360136599358369.0242689254616e-07
tau( Invest.G , Tot.C )0.5240524013328493.49066864302472e-09
tau( Invest.G , Duurz.C )0.2305300480160090.00942263458764536
tau( Invest.G , N-Duurz.C )0.5101810770825748.74874306333595e-09
tau( Tot.C , Duurz.C )0.3147151691341920.000399017485550157
tau( Tot.C , N-Duurz.C )0.9161949373716650
tau( Duurz.C , N-Duurz.C )0.2306604752106110.00941975016899765


Figures (Output of Computation)

Input Parameters & R Code

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')