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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 05 Dec 2007 14:22:51 -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/Dec/05/t11968890106vk0xus4e10rvpe.htm/, Retrieved Thu, 02 May 2024 19:40:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2523, Retrieved Thu, 02 May 2024 19:40:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGroep 1, WS 6, Q4
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [paper kendall tau] [2007-12-05 21:17:46] [74be16979710d4c4e7c6647856088456]
-    D    [Kendall tau Correlation Matrix] [WS 6, Q4] [2007-12-05 21:22:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
-14,3	-1,6	4,9	-23,1
-17,1	-4,4	-1,5	-20,6
3,3	11,6	8,1	-6,6
-4,3	-1,3	-7,3	-6
-4,7	-1,7	7,4	-14,2
1,9	-5,3	10,1	12,9
-4,3	0,6	-16	-20,1
2,6	9,3	6,1	-7
5,7	-1,1	0,8	-0,9
-2,5	2	-7,6	1,4
2,1	9	-3,7	4,4
0,1	4,9	5,9	4
-0,3	1,8	-0,8	1,6
-6,5	-1,1	-9,3	-9,6
-4,8	-2,2	-2,3	2
-3,9	-2,5	4,7	-1,3
-5,6	3,7	0,2	-8
0,8	8,8	4,2	-6,2
-8,9	-8,5	-3	-3,6
-2,9	4,6	3,5	5,5
-7,7	10,1	-4,6	4,2
-5,3	-7,8	1,9	-7
6	0,4	16,1	1,2
-3,1	-9,2	-14,2	-5,8
-1,8	-2,5	2,1	-4,3
14,4	11,8	12,8	10,9
8,2	2,3	3,3	3,2
0,3	2,5	-11	3,8
14,2	8,8	-6,2	13,1
6	-0,8	5,8	23,1
18,1	8,4	18,1	4
9,4	4,4	-14,6	-2,5
7,1	-5,1	-8,6	-4,4
6,9	14	6,9	0,9
6,1	7,9	-0,4	7
7,7	3,1	-2,2	1,4
7,2	3,8	1	-0,4
0,2	-6,1	-3,5	-8,6
-1	-2,9	-5	-7,1
0,5	0,5	2,5	-0,9
10,7	1,4	13,6	5,7
-7	-9,1	-23,2	-20,7
-3	-0,2	-0,3	2,8
2,6	-4,4	11,4	7,4
-8,9	-6,5	-0,8	-4,5
9,3	3,3	23	8,1
3,5	-0,4	-9,5	-0,2
4,1	5	0,3	7
6,3	1,8	-6,6	8,3
9,7	9,5	7,4	12,9
-2,9	-2,2	-10,6	6,8
18,9	16,4	18,2	7,6
-0,6	5,4	-9,3	2,7
4,5	9	-1,9	-0,5
4,9	7,6	-2,1	2,9
6,8	11,7	-0,9	2,4
22	23,6	15,1	12,7
11,2	16	-20,3	3,9
4,5	10,2	8,6	0,3
14,4	18,3	9,3	5,3
3,8	16,1	-6,8	-4,2
3,3	15	4,8	-5,9
10,4	18,5	-1,3	-0,4
0,6	11,9	-7,3	-3
4,7	15,1	-4,5	-9,2
14,6	14,4	22,4	6,3
8,6	12,8	-16,3	6,4




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=2523&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=2523&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2523&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( tot , prod )0.4592693560487414.30982034504979e-08
tau( tot , mach )0.2399093957392010.00419388367237672
tau( tot , elek )0.4275017128437893.41863184427638e-07
tau( prod , mach )0.1441850254124320.085225216849737
tau( prod , elek )0.2400181488203270.00419277774882043
tau( mach , elek )0.2013149411418870.016256620573861

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( tot , prod ) & 0.459269356048741 & 4.30982034504979e-08 \tabularnewline
tau( tot , mach ) & 0.239909395739201 & 0.00419388367237672 \tabularnewline
tau( tot , elek
 ) & 0.427501712843789 & 3.41863184427638e-07 \tabularnewline
tau( prod , mach ) & 0.144185025412432 & 0.085225216849737 \tabularnewline
tau( prod , elek
 ) & 0.240018148820327 & 0.00419277774882043 \tabularnewline
tau( mach , elek
 ) & 0.201314941141887 & 0.016256620573861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2523&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( tot , prod )[/C][C]0.459269356048741[/C][C]4.30982034504979e-08[/C][/ROW]
[ROW][C]tau( tot , mach )[/C][C]0.239909395739201[/C][C]0.00419388367237672[/C][/ROW]
[ROW][C]tau( tot , elek
 )[/C][C]0.427501712843789[/C][C]3.41863184427638e-07[/C][/ROW]
[ROW][C]tau( prod , mach )[/C][C]0.144185025412432[/C][C]0.085225216849737[/C][/ROW]
[ROW][C]tau( prod , elek
 )[/C][C]0.240018148820327[/C][C]0.00419277774882043[/C][/ROW]
[ROW][C]tau( mach , elek
 )[/C][C]0.201314941141887[/C][C]0.016256620573861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2523&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2523&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( tot , prod )0.4592693560487414.30982034504979e-08
tau( tot , mach )0.2399093957392010.00419388367237672
tau( tot , elek )0.4275017128437893.41863184427638e-07
tau( prod , mach )0.1441850254124320.085225216849737
tau( prod , elek )0.2400181488203270.00419277774882043
tau( mach , elek )0.2013149411418870.016256620573861



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')