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Description of Statistical Computation

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 computationWed, 11 Nov 2009 15:09:46 -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/Nov/11/t12579776394l3z60mavyc4blt.htm/, Retrieved Sat, 27 Apr 2024 00:39:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55865, Retrieved Sat, 27 Apr 2024 00:39:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsW6KTCM
Estimated Impact162

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [Workshop 6: kenda...] [2009-11-11 22:09:46] [3d2053c5f7c50d3c075d87ce0bd87294] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
267413	294912	21,4	26,9
267366	293488	26,4	27,8
264777	290555	26,4	28,7
258863	284736	29,4	30,5
254844	281818	34,4	31,8
254868	287854	24,4	31,4
277267	316263	26,4	34,8
285351	325412	25,4	32,2
286602	326011	31,4	33
283042	328282	27,4	32,4
276687	317480	27,4	30,5
277915	317539	29,4	28,6
277128	313737	32,4	30
277103	312276	26,4	28,2
275037	309391	22,4	27,6
270150	302950	19,4	24,9
267140	300316	21,4	23,8
264993	304035	23,4	24,3
287259	333476	23,4	23,6
291186	337698	25,4	24,2
292300	335932	28,4	28,1
288186	323931	27,4	30,1
281477	313927	21,4	31,1
282656	314485	17,4	32
280190	313218	24,4	32,4
280408	309664	26,4	34
276836	302963	22,4	35,1
275216	298989	14,4	37,1
274352	298423	18,4	37,3
271311	301631	25,4	38,1
289802	329765	29,4	39,5
290726	335083	26,4	38,3
292300	327616	26,4	37,3
278506	309119	20,4	38,7
269826	295916	26,4	37,5
265861	291413	29,4	38,7
269034	291542	33,4	37,9
264176	284678	32,4	36,6
255198	276475	35,4	35,5
253353	272566	34,4	37,6
246057	264981	36,4	38,6
235372	263290	32,4	40,3
258556	296806	34,4	39
260993	303598	31,4	36,8
254663	286994	27,4	36,5
250643	276427	27,4	34,1
243422	266424	30,4	34,2
247105	267153	32,4	31,9
248541	268381	32,4	33,7
245039	262522	27,4	33,5
237080	255542	31,4	33,8
237085	253158	29,4	29,9
225554	243803	27,4	32,3
226839	250741	25,4	30,5
247934	280445	26,4	28,5
248333	285257	23,4	29
246969	270976	18,4	23,8
245098	261076	22,4	17,9
246263	255603	17,4	9,9
255765	260376	17,4	3
264319	263903	11,4	4,2
268347	264291	9,4	0,4
273046	263276	6,4	0
273963	262572	0	2,4
267430	256167	7,8	4,2
271993	264221	7,9	8,2
292710	293860	12	9
295881	300713	16,9	13,6
293299	287224	12,3	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55865&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55865&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55865&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totwm , Totwv )0.6638243595726086.66133814775094e-16
tau( Totwm , vower )-0.2031888425340150.0155092641192718
tau( Totwm , conind )-0.06363449346915890.440204439819858
tau( Totwv , vower )0.0536199581592540.522942197409057
tau( Totwv , conind )0.1332196648433970.106051708458537
tau( vower , conind )0.496504940681853.50894246992084e-09

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totwm , Totwv ) & 0.663824359572608 & 6.66133814775094e-16 \tabularnewline
tau( Totwm , vower ) & -0.203188842534015 & 0.0155092641192718 \tabularnewline
tau( Totwm , conind ) & -0.0636344934691589 & 0.440204439819858 \tabularnewline
tau( Totwv , vower ) & 0.053619958159254 & 0.522942197409057 \tabularnewline
tau( Totwv , conind ) & 0.133219664843397 & 0.106051708458537 \tabularnewline
tau( vower , conind ) & 0.49650494068185 & 3.50894246992084e-09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55865&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( Totwm , Totwv )[/C][C]0.663824359572608[/C][C]6.66133814775094e-16[/C][/ROW]
[ROW][C]tau( Totwm , vower )[/C][C]-0.203188842534015[/C][C]0.0155092641192718[/C][/ROW]
[ROW][C]tau( Totwm , conind )[/C][C]-0.0636344934691589[/C][C]0.440204439819858[/C][/ROW]
[ROW][C]tau( Totwv , vower )[/C][C]0.053619958159254[/C][C]0.522942197409057[/C][/ROW]
[ROW][C]tau( Totwv , conind )[/C][C]0.133219664843397[/C][C]0.106051708458537[/C][/ROW]
[ROW][C]tau( vower , conind )[/C][C]0.49650494068185[/C][C]3.50894246992084e-09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55865&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55865&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( Totwm , Totwv )0.6638243595726086.66133814775094e-16
tau( Totwm , vower )-0.2031888425340150.0155092641192718
tau( Totwm , conind )-0.06363449346915890.440204439819858
tau( Totwv , vower )0.0536199581592540.522942197409057
tau( Totwv , conind )0.1332196648433970.106051708458537
tau( vower , conind )0.496504940681853.50894246992084e-09


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')