Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 15 Dec 2009 08:40:03 -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/Dec/15/t1260891645adj2jr6ucyvu484.htm/, Retrieved Wed, 08 May 2024 16:06:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67983, Retrieved Wed, 08 May 2024 16:06:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D  [Kendall tau Correlation Matrix] [] [2009-11-12 13:33:40] [d811f621c525a990f9b60f1ae1e2e8fd]
-    D      [Kendall tau Correlation Matrix] [] [2009-12-15 15:40:03] [8cd69d0f4298074aa572ca2f9b39b6ae] [Current]
Feedback Forum

Post a new message
Dataseries X:
564	16,2	15,1	-0,9
581	16,7	17,6	-1
597	18,4	18,3	-0,7
587	16	16,2	-1,7
536	16,5	16,6	-1
524	18,2	17,7	-0,2
537	16,8	16,4	0,7
536	17,3	16	0,6
533	18	16,4	1,9
528	19,6	17,8	2,1
516	23,3	22,3	2,7
502	23,7	22,8	3,2
506	20,3	18,3	4,8
518	22,8	22,4	5,5
534	24,3	23,9	5,4
528	21,5	21,3	5,9
478	23,5	23	5,8
469	22,2	21,4	5,1
490	20,9	21,2	4,1
493	22,2	20,9	4,4
508	19,5	17,9	3,6
517	21,1	20,7	3,5
514	22	22,2	3,1
510	19,2	19,8	2,9
527	17,8	17,7	2,2
542	19,2	19,6	1,4
565	19,9	20,8	1,2
555	19,6	19,8	1,3
499	18,1	18,6	1,3
511	20,4	21,4	1,3
526	18,1	18,6	1,8
532	18,6	18,9	1,8
549	17,6	17,3	1,8
561	19,4	20	1,7
557	19,3	19,9	2,1
566	18,6	19,5	2
588	16,9	16,2	1,7
620	16,4	17,6	1,9
626	19	19,8	2,3
620	18,7	19,4	2,4
573	17,1	17,2	2,5
573	21,5	21,1	2,8
574	17,8	17,8	2,6
580	18,1	17,5	2,2
590	19	18	2,8
593	18,9	19,1	2,8
597	16,8	17,7	2,8
595	18,1	19,2	2,3
612	15,7	15,1	2,2
628	15,1	16,3	3
629	18,3	18,6	2,9
621	16,5	17,2	2,7
569	16,9	17,8	2,7
567	18,4	19,1	2,3
573	16,4	16,6	2,4
584	15,7	16	2,8
589	16,9	16,7	2,3
591	16,6	17,4	2
595	16,7	17,9	1,9
594	16,6	17,8	2,3




Summary of computational 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 computational 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=67983&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]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=67983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67983&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkloosheid , invoer )-0.4599643051337622.59592298184610e-07
tau( werkloosheid , uitvoer )-0.3205974939494380.000334173733126423
tau( werkloosheid , inflatie )-0.1128666870503310.208339090003685
tau( invoer , uitvoer )0.7653970170779380
tau( invoer , inflatie )0.3314198636431370.000233289855315899
tau( uitvoer , inflatie )0.3357359272843850.000195327264884471

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheid , invoer ) & -0.459964305133762 & 2.59592298184610e-07 \tabularnewline
tau( werkloosheid , uitvoer ) & -0.320597493949438 & 0.000334173733126423 \tabularnewline
tau( werkloosheid , inflatie ) & -0.112866687050331 & 0.208339090003685 \tabularnewline
tau( invoer , uitvoer ) & 0.765397017077938 & 0 \tabularnewline
tau( invoer , inflatie ) & 0.331419863643137 & 0.000233289855315899 \tabularnewline
tau( uitvoer , inflatie ) & 0.335735927284385 & 0.000195327264884471 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67983&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( werkloosheid , invoer )[/C][C]-0.459964305133762[/C][C]2.59592298184610e-07[/C][/ROW]
[ROW][C]tau( werkloosheid , uitvoer )[/C][C]-0.320597493949438[/C][C]0.000334173733126423[/C][/ROW]
[ROW][C]tau( werkloosheid , inflatie )[/C][C]-0.112866687050331[/C][C]0.208339090003685[/C][/ROW]
[ROW][C]tau( invoer , uitvoer )[/C][C]0.765397017077938[/C][C]0[/C][/ROW]
[ROW][C]tau( invoer , inflatie )[/C][C]0.331419863643137[/C][C]0.000233289855315899[/C][/ROW]
[ROW][C]tau( uitvoer , inflatie )[/C][C]0.335735927284385[/C][C]0.000195327264884471[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67983&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( werkloosheid , invoer )-0.4599643051337622.59592298184610e-07
tau( werkloosheid , uitvoer )-0.3205974939494380.000334173733126423
tau( werkloosheid , inflatie )-0.1128666870503310.208339090003685
tau( invoer , uitvoer )0.7653970170779380
tau( invoer , inflatie )0.3314198636431370.000233289855315899
tau( uitvoer , inflatie )0.3357359272843850.000195327264884471



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')