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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 computationFri, 13 Nov 2009 03:01:59 -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/13/t12581065563e3ku7j7y73wfsq.htm/, Retrieved Thu, 02 May 2024 07:22:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56447, Retrieved Thu, 02 May 2024 07:22:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- R  D  [Notched Boxplots] [WS6 notched boxplots] [2009-11-09 19:59:26] [868ad9c0049635b9b2c3848f186e9622]
- RMPD      [Kendall tau Correlation Matrix] [WS6 kendel tau] [2009-11-13 10:01:59] [5d37783481a916b2505b66314b556267] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	1	1	1
0.941979522	1	1	1
0.85665529	0.946666667	0.885714286	0.927272727
0.85665529	0.933333333	0.857142857	0.909090909
0.846416382	0.933333333	0.857142857	0.909090909
0.764505119	0.826666667	0.628571429	0.763636364
0.723549488	0.8	0.571428571	0.727272727
0.716723549	0.8	0.571428571	0.727272727
0.726962457	0.8	0.571428571	0.727272727
0.723549488	0.8	0.571428571	0.727272727
0.730375427	0.8	0.571428571	0.727272727
0.726962457	0.8	0.571428571	0.727272727
0.726962457	0.8	0.571428571	0.727272727
0.696245734	0.8	0.571428571	0.727272727
0.689419795	0.8	0.571428571	0.727272727
0.655290102	0.8	0.571428571	0.727272727
0.692832765	0.8	0.571428571	0.727272727
0.699658703	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.723549488	0.8	0.571428571	0.727272727
0.730375427	0.8	0.571428571	0.727272727
0.726962457	0.8	0.571428571	0.727272727
0.716723549	0.8	0.571428571	0.727272727
0.71331058	0.8	0.571428571	0.727272727
0.716723549	0.8	0.571428571	0.727272727
0.71331058	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.706484642	0.8	0.571428571	0.727272727
0.709897611	0.8	0.571428571	0.727272727
0.71331058	0.8	0.571428571	0.727272727
0.720136519	0.8	0.571428571	0.727272727
0.750853242	0.8	0.571428571	0.727272727
0.825938567	0.856	0.691428571	0.803636364
0.839590444	0.866666667	0.714285714	0.818181818
0.853242321	0.866666667	0.714285714	0.818181818
0.883959044	0.92	0.828571429	0.890909091
0.938566553	0.933333333	0.857142857	0.909090909
0.948805461	0.933333333	0.857142857	0.909090909
0.989761092	0.970666667	0.937142857	0.96
1.034129693	1	1	1
1.058020478	1.048	1.102857143	1.065454545
1.102389078	1.066666667	1.142857143	1.090909091
1.146757679	1.112	1.24	1.152727273
1.197952218	1.133333333	1.285714286	1.181818182
1.232081911	1.170666667	1.365714286	1.232727273
1.252559727	1.2	1.428571429	1.272727273
1.276450512	1.2	1.428571429	1.272727273
1.303754266	1.24	1.514285714	1.327272727
1.327645051	1.266666667	1.571428571	1.363636364
1.358361775	1.266666667	1.571428571	1.363636364
1.392491468	1.306666667	1.657142857	1.418181818
1.412969283	1.333333333	1.714285714	1.454545455
1.4778157	1.333333333	1.714285714	1.454545455
1.559726962	1.333333333	1.714285714	1.454545455
1.580204778	1.333333333	1.714285714	1.454545455
1.559726962	1.333333333	1.714285714	1.454545455
1.607508532	1.333333333	1.714285714	1.454545455
1.549488055	1.333333333	1.714285714	1.454545455
1.467576792	1.333333333	1.714285714	1.454545455
1.488054608	1.333333333	1.714285714	1.454545455
1.57337884	1.333333333	1.714285714	1.454545455
1.607508532	1.333333333	1.714285714	1.454545455
1.597269625	1.333333333	1.714285714	1.454545455
1.675767918	1.381333333	1.817142857	1.52
1.62116041	1.4	1.857142857	1.545454545
1.627986348	1.4	1.857142857	1.545454545
1.767918089	1.197333333	1.845714286	1.443636364
1.167235495	1.045333333	1.668571429	1.243636364
0.924914676	0.866666667	1.285714286	1

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=56447&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=56447&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56447&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( rlther , rmar )0.872040283914410
tau( rlther , rdepo )0.8801452646919070
tau( rlther , rbasisherfin )0.8788192557659840
tau( rmar , rdepo )0.9577192838111930
tau( rmar , rbasisherfin )0.9813875075201870
tau( rdepo , rbasisherfin )0.9777671514208820

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( rlther , rmar ) & 0.87204028391441 & 0 \tabularnewline
tau( rlther , rdepo ) & 0.880145264691907 & 0 \tabularnewline
tau( rlther , rbasisherfin ) & 0.878819255765984 & 0 \tabularnewline
tau( rmar , rdepo ) & 0.957719283811193 & 0 \tabularnewline
tau( rmar , rbasisherfin ) & 0.981387507520187 & 0 \tabularnewline
tau( rdepo , rbasisherfin ) & 0.977767151420882 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56447&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( rlther , rmar )[/C][C]0.87204028391441[/C][C]0[/C][/ROW]
[ROW][C]tau( rlther , rdepo )[/C][C]0.880145264691907[/C][C]0[/C][/ROW]
[ROW][C]tau( rlther , rbasisherfin )[/C][C]0.878819255765984[/C][C]0[/C][/ROW]
[ROW][C]tau( rmar , rdepo )[/C][C]0.957719283811193[/C][C]0[/C][/ROW]
[ROW][C]tau( rmar , rbasisherfin )[/C][C]0.981387507520187[/C][C]0[/C][/ROW]
[ROW][C]tau( rdepo , rbasisherfin )[/C][C]0.977767151420882[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56447&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56447&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( rlther , rmar )0.872040283914410
tau( rlther , rdepo )0.8801452646919070
tau( rlther , rbasisherfin )0.8788192557659840
tau( rmar , rdepo )0.9577192838111930
tau( rmar , rbasisherfin )0.9813875075201870
tau( rdepo , rbasisherfin )0.9777671514208820


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
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')