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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 10 Nov 2009 13:46:10 -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/10/t1257886007r9k9o3q6teai69n.htm/, Retrieved Mon, 06 May 2024 10:25:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55390, Retrieved Mon, 06 May 2024 10:25:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
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] [] [2009-11-10 20:46:10] [4f23cd6f600e6b4b5336072a0ca6bd10] [Current]
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Dataseries X:
8,2	25,5	6,6	6,6
8,3	25,5	6,6	6,7
8,1	25,5	6,3	6,6
7,4	20,9	6	6,4
7,3	20,9	6	6,4
7,7	20,9	6,4	6,6
8	22,3	6,9	6,8
8	22,3	7,1	6,5
7,7	22,3	7,1	6,1
6,9	19,9	6,7	5,3
6,6	19,9	6,4	4,9
6,9	19,9	6,4	5
7,5	24,1	6,6	5,5
7,9	24,1	6,8	5,8
7,7	24,1	6,7	5,8
6,5	13,8	6,1	5,2
6,1	13,8	5,9	5,1
6,4	13,8	6,2	5,3
6,8	16,2	6,4	5,5
7,1	16,2	6,7	5,8
7,3	16,2	6,9	5,8
7,2	18,6	6,9	5,5
7	18,6	6,8	5,2
7	18,6	6,7	5,2
7	22,4	6,4	5,2
7,3	22,4	6,5	5,4
7,5	22,4	6,7	5,6
7,2	22,6	6,9	5,5
7,7	22,6	7,4	5,9
8	22,6	7,7	6
7,9	20	7,9	6
8	20	8	6,1
8	20	8	6,1
7,9	21,8	7,8	5,9
7,9	21,8	7,6	5,8
8	21,8	7,6	5,6
8,1	28,7	7,6	5,5
8,1	28,7	7,7	5,5
8,2	28,7	7,8	5,9
8	19,5	7,8	6,4
8,3	19,5	8	6,8
8,5	19,5	8,1	7
8,6	19,4	8,2	7
8,7	19,4	8,3	6,9
8,7	19,4	8,2	6,7
8,5	21,7	8	6,4
8,4	21,7	7,8	6,1
8,5	21,7	8	6,1
8,7	26,2	8,5	6,1
8,7	26,2	8,6	6,1
8,6	26,2	8,5	6,1
7,9	19,1	8	5,9
8,1	19,1	7,8	6,2
8,2	19,1	7,9	6,2
8,5	21,3	8,3	6,5
8,6	21,3	8,3	6,6
8,5	21,3	8,1	6,5
8,3	24,1	7,7	6,3
8,2	24,1	7,6	6,1
8,7	24,1	8,2	6,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55390&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55390&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Twk , wkV<25 )0.2875729412015290.00180471015408501
tau( Twk , wkV>25 )0.6897392079848597.72715225139109e-14
tau( Twk , wkM>25 )0.5960151811821291.30981003820807e-10
tau( wkV<25 , wkV>25 )0.07891649537268480.390740243061502
tau( wkV<25 , wkM>25 )0.07172742549505220.437696112345372
tau( wkV>25 , wkM>25 )0.4121228065514498.45721436437685e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Twk , wkV<25 ) & 0.287572941201529 & 0.00180471015408501 \tabularnewline
tau( Twk , wkV>25 ) & 0.689739207984859 & 7.72715225139109e-14 \tabularnewline
tau( Twk , wkM>25 ) & 0.596015181182129 & 1.30981003820807e-10 \tabularnewline
tau( wkV<25 , wkV>25 ) & 0.0789164953726848 & 0.390740243061502 \tabularnewline
tau( wkV<25 , wkM>25 ) & 0.0717274254950522 & 0.437696112345372 \tabularnewline
tau( wkV>25 , wkM>25 ) & 0.412122806551449 & 8.45721436437685e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55390&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( Twk , wkV<25 )[/C][C]0.287572941201529[/C][C]0.00180471015408501[/C][/ROW]
[ROW][C]tau( Twk , wkV>25 )[/C][C]0.689739207984859[/C][C]7.72715225139109e-14[/C][/ROW]
[ROW][C]tau( Twk , wkM>25 )[/C][C]0.596015181182129[/C][C]1.30981003820807e-10[/C][/ROW]
[ROW][C]tau( wkV<25 , wkV>25 )[/C][C]0.0789164953726848[/C][C]0.390740243061502[/C][/ROW]
[ROW][C]tau( wkV<25 , wkM>25 )[/C][C]0.0717274254950522[/C][C]0.437696112345372[/C][/ROW]
[ROW][C]tau( wkV>25 , wkM>25 )[/C][C]0.412122806551449[/C][C]8.45721436437685e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55390&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( Twk , wkV<25 )0.2875729412015290.00180471015408501
tau( Twk , wkV>25 )0.6897392079848597.72715225139109e-14
tau( Twk , wkM>25 )0.5960151811821291.30981003820807e-10
tau( wkV<25 , wkV>25 )0.07891649537268480.390740243061502
tau( wkV<25 , wkM>25 )0.07172742549505220.437696112345372
tau( wkV>25 , wkM>25 )0.4121228065514498.45721436437685e-06



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')