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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 27 Nov 2007 03:36:35 -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/Nov/27/t11961592468stn54w9z1ks3cd.htm/, Retrieved Sun, 05 May 2024 14:58:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14496, Retrieved Sun, 05 May 2024 14:58:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep MENS
Estimated Impact220
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Q3] [2007-11-27 10:36:35] [9955dd6f4850c29d6c4a6dcf118687b9] [Current]
-   PD    [Kendall tau Correlation Matrix] [Paper_voeding_ken...] [2007-12-17 08:20:36] [74be16979710d4c4e7c6647856088456]
-   PD    [Kendall tau Correlation Matrix] [Paper_voeding&ene...] [2007-12-17 08:33:51] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
101,8	100,0	99,9	99,7
103,4	100,0	99,9	99,8
104,9	100,0	99,9	99,8
105,1	100,1	99,9	99,9
105,6	100,0	99,9	99,9
104,5	100,0	99,7	99,9
105,5	99,8	99,6	100,0
105,1	100,0	99,5	99,9
106,9	99,9	100,6	99,6
106,6	99,2	100,2	99,6
106,6	98,7	100,1	98,9
106,5	98,7	100,2	99,3
109,7	98,9	99,1	99,4
109,5	99,2	99,5	100,1
109,2	99,8	99,5	99,5
109,1	100,5	99,6	99,8
109,0	100,1	99,5	100,0
109,0	100,5	99,6	99,8
109,0	98,4	99,8	99,7
109,0	98,6	99,9	99,6
109,0	99,0	100,5	100,3
109,0	99,1	100,5	100,2
109,0	98,9	100,5	100,4
109,0	98,5	100,5	100,4
109,0	96,9	99,5	99,6
109,0	96,8	99,9	99,9
109,0	97,0	100,4	100,5
109,0	97,0	99,6	100,3
109,0	96,9	99,5	100,5
109,0	97,1	99,6	99,7
109,0	97,2	98,4	98,8
109,0	97,9	99,9	99,8
109,0	98,9	100,3	99,8
109,0	99,2	100,3	99,7
109,0	99,5	101,3	99,5
109,2	99,3	101,0	99,6
113,3	99,9	99,7	99,6
112,3	100,0	99,4	100,3
112,3	100,3	99,9	99,0
116,3	100,5	100,7	99,2
118,3	100,7	99,8	99,5
119,4	100,9	98,8	98,1
119,4	100,8	99,6	100,2
119,4	100,9	99,1	100,3
120,1	101,0	100,3	100,0
121,7	100,3	100,5	97,3
123,7	100,1	100,8	96,9
123,7	99,8	100,6	96,9
128,5	99,9	99,1	96,9
127,1	99,9	98,8	96,6
122,6	100,2	99,0	96,9
119,8	99,7	99,9	97,0
122,7	100,4	99,5	97,3
123,4	100,9	99,2	97,6
123,8	101,3	99,6	96,5
121,8	101,4	100,1	97,0
121,2	101,3	99,8	96,7
121,2	100,9	101,6	96,5
121,2	100,9	101,7	99,3
121,2	100,9	101,9	99,2
129,6	101,1	100,0	97,0
131,0	101,1	102,0	101,2
131,0	101,3	102,0	101,3
129,8	101,8	102,9	101,0
129,8	102,9	102,7	100,5
134,9	103,2	102,7	100,5
131,2	103,3	102,7	100,5
127,1	104,5	102,7	101,5
130,5	105,0	102,6	101,2
130,5	104,9	102,6	101,0
131,7	104,9	102,5	101,1
131,7	105,4	102,5	100,7
131,7	106,0	102,1	101,0




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=14496&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=14496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14496&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( energie , voeding )0.5431898460188936.44906350544261e-11
tau( energie , transport )0.2504310883759590.00283595606720355
tau( energie , textiel )-0.03094922302950860.710777455557585
tau( voeding , transport )0.2871957775879220.000498822116573594
tau( voeding , textiel )0.08426487185775530.304535272277233
tau( transport , textiel )0.2606512397994920.00164603401040364

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( energie , voeding ) & 0.543189846018893 & 6.44906350544261e-11 \tabularnewline
tau( energie , transport ) & 0.250431088375959 & 0.00283595606720355 \tabularnewline
tau( energie , textiel
 ) & -0.0309492230295086 & 0.710777455557585 \tabularnewline
tau( voeding , transport ) & 0.287195777587922 & 0.000498822116573594 \tabularnewline
tau( voeding , textiel
 ) & 0.0842648718577553 & 0.304535272277233 \tabularnewline
tau( transport , textiel
 ) & 0.260651239799492 & 0.00164603401040364 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14496&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( energie , voeding )[/C][C]0.543189846018893[/C][C]6.44906350544261e-11[/C][/ROW]
[ROW][C]tau( energie , transport )[/C][C]0.250431088375959[/C][C]0.00283595606720355[/C][/ROW]
[ROW][C]tau( energie , textiel
 )[/C][C]-0.0309492230295086[/C][C]0.710777455557585[/C][/ROW]
[ROW][C]tau( voeding , transport )[/C][C]0.287195777587922[/C][C]0.000498822116573594[/C][/ROW]
[ROW][C]tau( voeding , textiel
 )[/C][C]0.0842648718577553[/C][C]0.304535272277233[/C][/ROW]
[ROW][C]tau( transport , textiel
 )[/C][C]0.260651239799492[/C][C]0.00164603401040364[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14496&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( energie , voeding )0.5431898460188936.44906350544261e-11
tau( energie , transport )0.2504310883759590.00283595606720355
tau( energie , textiel )-0.03094922302950860.710777455557585
tau( voeding , transport )0.2871957775879220.000498822116573594
tau( voeding , textiel )0.08426487185775530.304535272277233
tau( transport , textiel )0.2606512397994920.00164603401040364



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
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')