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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, 29 Nov 2007 04:02:12 -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/29/t1196333854ofp2aecaxsoijye.htm/, Retrieved Fri, 03 May 2024 14:29:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7414, Retrieved Fri, 03 May 2024 14:29:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650532
Estimated Impact182

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] [kandalltaucorrela...] [2007-11-29 11:02:12] [246ad84e93fbdd1336f5cbee368cde93] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,43	103,52	0,3	0,51
1,43	103,5	2,1	0,51
1,43	103,52	2,5	0,51
1,43	103,53	2,3	0,51
1,43	103,53	2,4	0,51
1,43	103,53	3	0,51
1,43	103,52	1,7	0,51
1,43	103,54	3,5	0,51
1,43	103,59	4	0,5
1,43	103,59	3,7	0,51
1,43	103,59	3,7	0,51
1,43	103,59	3	0,5
1,43	103,63	2,7	0,51
1,43	103,74	2,5	0,51
1,43	103,7	2,2	0,51
1,43	103,72	2,9	0,51
1,43	103,81	3,1	0,52
1,43	103,8	3	0,52
1,44	104,22	2,8	0,52
1,48	106,91	2,5	0,53
1,48	107,06	1,9	0,53
1,48	107,17	1,9	0,52
1,48	107,25	1,8	0,52
1,48	107,28	2	0,52
1,48	107,24	2,6	0,52
1,48	107,23	2,5	0,52
1,48	107,34	2,5	0,52
1,48	107,34	1,6	0,52
1,48	107,3	1,4	0,52
1,48	107,24	0,8	0,52
1,48	107,3	1,1	0,52
1,48	107,32	1,3	0,53
1,48	107,28	1,2	0,53
1,48	107,33	1,3	0,53
1,48	107,33	1,1	0,54
1,48	107,33	1,3	0,54
1,48	107,28	1,2	0,54
1,48	107,28	1,6	0,54
1,48	107,29	1,7	0,54
1,48	107,29	1,5	0,54
1,48	107,23	0,9	0,54
1,48	107,24	1,5	0,54
1,48	107,24	1,4	0,54
1,48	107,2	1,6	0,54
1,48	107,23	1,7	0,53
1,48	107,2	1,4	0,53
1,48	107,21	1,8	0,53
1,48	107,24	1,7	0,53
1,48	107,21	1,4	0,53
1,57	113,89	1,2	0,54
1,58	114,05	1	0,55
1,58	114,05	1,7	0,55
1,58	114,05	2,4	0,55
1,58	114,05	2	0,55
1,59	115,12	2,1	0,55
1,6	115,68	2	0,55
1,6	116,05	1,8	0,55
1,61	116,18	2,7	0,55
1,61	116,35	2,3	0,56
1,61	116,44	1,9	0,56
1,62	117	2	0,56
1,63	117,61	2,3	0,56
1,63	118,17	2,8	0,56
1,64	118,33	2,4	0,55
1,64	118,33	2,3	0,56
1,64	118,42	2,7	0,55
1,64	118,5	2,7	0,55
1,64	118,67	2,9	0,56
1,65	119,09	3	0,55
1,65	119,14	2,2	0,55
1,65	119,23	2,3	0,55
1,65	119,33	2,8	0,55

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=7414&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=7414&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7414&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( Broodprijs , Indexcijfersbruinbroodmet1996=100 )0.8793786288672060
tau( Broodprijs , InflatieBelgië )-0.03695597371543040.679127064701223
tau( Broodprijs , Prijsvaneengrondstof:bakmeel )0.8331810496841880
tau( Indexcijfersbruinbroodmet1996=100 , InflatieBelgië )-0.05215775499089630.526539750652999
tau( Indexcijfersbruinbroodmet1996=100 , Prijsvaneengrondstof:bakmeel )0.7421300237233050
tau( InflatieBelgië , Prijsvaneengrondstof:bakmeel )-0.1115848486631520.201870012492688

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Broodprijs , Indexcijfersbruinbroodmet1996=100 ) & 0.879378628867206 & 0 \tabularnewline
tau( Broodprijs , InflatieBelgië ) & -0.0369559737154304 & 0.679127064701223 \tabularnewline
tau( Broodprijs , Prijsvaneengrondstof:bakmeel
 ) & 0.833181049684188 & 0 \tabularnewline
tau( Indexcijfersbruinbroodmet1996=100 , InflatieBelgië ) & -0.0521577549908963 & 0.526539750652999 \tabularnewline
tau( Indexcijfersbruinbroodmet1996=100 , Prijsvaneengrondstof:bakmeel
 ) & 0.742130023723305 & 0 \tabularnewline
tau( InflatieBelgië , Prijsvaneengrondstof:bakmeel
 ) & -0.111584848663152 & 0.201870012492688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7414&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( Broodprijs , Indexcijfersbruinbroodmet1996=100 )[/C][C]0.879378628867206[/C][C]0[/C][/ROW]
[ROW][C]tau( Broodprijs , InflatieBelgië )[/C][C]-0.0369559737154304[/C][C]0.679127064701223[/C][/ROW]
[ROW][C]tau( Broodprijs , Prijsvaneengrondstof:bakmeel
 )[/C][C]0.833181049684188[/C][C]0[/C][/ROW]
[ROW][C]tau( Indexcijfersbruinbroodmet1996=100 , InflatieBelgië )[/C][C]-0.0521577549908963[/C][C]0.526539750652999[/C][/ROW]
[ROW][C]tau( Indexcijfersbruinbroodmet1996=100 , Prijsvaneengrondstof:bakmeel
 )[/C][C]0.742130023723305[/C][C]0[/C][/ROW]
[ROW][C]tau( InflatieBelgië , Prijsvaneengrondstof:bakmeel
 )[/C][C]-0.111584848663152[/C][C]0.201870012492688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7414&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7414&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( Broodprijs , Indexcijfersbruinbroodmet1996=100 )0.8793786288672060
tau( Broodprijs , InflatieBelgië )-0.03695597371543040.679127064701223
tau( Broodprijs , Prijsvaneengrondstof:bakmeel )0.8331810496841880
tau( Indexcijfersbruinbroodmet1996=100 , InflatieBelgië )-0.05215775499089630.526539750652999
tau( Indexcijfersbruinbroodmet1996=100 , Prijsvaneengrondstof:bakmeel )0.7421300237233050
tau( InflatieBelgië , Prijsvaneengrondstof:bakmeel )-0.1115848486631520.201870012492688


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')