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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, 17 Dec 2008 14:22:13 -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/2008/Dec/17/t1229549082njfhmmvg8r0o535.htm/, Retrieved Sun, 19 May 2024 06:06:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34565, Retrieved Sun, 19 May 2024 06:06:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

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] [kendall2] [2008-12-17 21:22:13] [c4d631a082add458929a68f815b04b21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
NA	-0,32	9,3
NA	2,62	2,94
NA	3,1	0,48
NA	1,59	-1,51
NA	-5,79	-7,38
NA	-5,35	0,44
NA	0,85	6,2
NA	0,64	-0,21
NA	4,27	3,63
NA	1,66	-2,61
NA	-2,09	-3,75
295	0,07	2,16
4034	-0,52	-0,59
-3485	-0,17	0,35
2312	0,53	0,7
6976	2,84	2,31
5929	3,76	0,92
282	6,38	2,62
476	-1,02	-7,4
-3701	1,61	2,63
-552	2,98	1,37
-398	0,62	-2,36
-2534	4,97	4,35
1465	-3,97	-8,94
-1741	-4,75	-0,78
1714	-2,7	2,05
-3792	4,99	7,69
-7342	4,36	-0,63
-5552	7,98	3,62
-274	-1,47	-9,45
2725	4,54	6,01
-34	7,5	2,96
1193	2,28	-5,22
-682	6,04	3,76
-2997	-1,98	-8,02
-690	-9,71	-7,73
-3109	-2,42	7,29
2213	3,71	6,13
3915	-0,14	-3,85
5410	1,05	1,19
683	6,04	4,99
4331	1,84	-4,2
-3353	-0,6	-2,44
187	1,89	2,49
-1402	0,18	-1,71
-1479	-10,44	-10,62
1210	-5,94	4,5
-1097	0,59	6,53
-1331	1,42	0,83

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34565&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]0 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=34565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34565&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Wagens , Index )0.008540927430232270.939866710696444
tau( Wagens , Olie )-0.04125177809388330.726627494450108
tau( Index , Olie )0.3717567329066510.000165215645896666

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Wagens , Index ) & 0.00854092743023227 & 0.939866710696444 \tabularnewline
tau( Wagens , Olie ) & -0.0412517780938833 & 0.726627494450108 \tabularnewline
tau( Index , Olie ) & 0.371756732906651 & 0.000165215645896666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34565&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( Wagens , Index )[/C][C]0.00854092743023227[/C][C]0.939866710696444[/C][/ROW]
[ROW][C]tau( Wagens , Olie )[/C][C]-0.0412517780938833[/C][C]0.726627494450108[/C][/ROW]
[ROW][C]tau( Index , Olie )[/C][C]0.371756732906651[/C][C]0.000165215645896666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34565&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( Wagens , Index )0.008540927430232270.939866710696444
tau( Wagens , Olie )-0.04125177809388330.726627494450108
tau( Index , Olie )0.3717567329066510.000165215645896666


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')