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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 computationSun, 08 Nov 2009 02:21:37 -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/08/t1257672132dspyruz0kyau7h2.htm/, Retrieved Mon, 29 Apr 2024 06:27:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54492, Retrieved Mon, 29 Apr 2024 06:27:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

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] [Kendall tau Corre...] [2009-11-08 09:21:37] [eeda0e496238f8886c14dbbeff6ff613] [Current]
-    D    [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2009-11-09 08:07:38] [2f74b736c031245eb7b9a6567f4b8492]
- RM D    [Box-Cox Linearity Plot] [Box Cox Linearity...] [2009-11-09 08:14:17] [2f74b736c031245eb7b9a6567f4b8492]
- RMPD      [Bagplot] [Bagplot] [2009-11-09 08:18:28] [2f74b736c031245eb7b9a6567f4b8492]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.5	9.3
6.8	8.3
6.5	8
6.6	8.5
7.6	10.4
8	11.1
8.1	10.9
7.7	10
7.5	9.2
7.6	9.2
7.8	9.5
7.8	9.6
7.8	9.5
7.5	9.1
7.5	8.9
7.1	9
7.5	10.1
7.5	10.3
7.6	10.2
7.7	9.6
7.7	9.2
7.9	9.3
8.1	9.4
8.2	9.4
8.2	9.2
8.2	9
7.9	9
7.3	9
6.9	9.8
6.6	10
6.7	9.8
6.9	9.3
7	9
7.1	9
7.2	9.1
7.1	9.1
6.9	9.1
7	9.2
6.8	8.8
6.4	8.3
6.7	8.4
6.6	8.1
6.4	7.7
6.3	7.9
6.2	7.9
6.5	8
6.8	7.9
6.8	7.6
6.4	7.1
6.1	6.8
5.8	6.5
6.1	6.9
7.2	8.2
7.3	8.7
6.9	8.3
6.1	7.9
5.8	7.5
6.2	7.8
7.1	8.3
7.7	8.4
7.9	8.2

Tables (Output of Computation)





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=54492&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=54492&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54492&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Werkloosheid_mannen , Werkloosheid_vrouwen )0.5409878420080052.28853247463690e-09

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Werkloosheid_mannen , Werkloosheid_vrouwen ) & 0.540987842008005 & 2.28853247463690e-09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54492&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( Werkloosheid_mannen , Werkloosheid_vrouwen )[/C][C]0.540987842008005[/C][C]2.28853247463690e-09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54492&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54492&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( Werkloosheid_mannen , Werkloosheid_vrouwen )0.5409878420080052.28853247463690e-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')