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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 30 Nov 2007 01:49:24 -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/Nov/30/t1196411920kzm3n2sz3023ol8.htm/, Retrieved Sun, 28 Apr 2024 06:29:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7618, Retrieved Sun, 28 Apr 2024 06:29:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.137			0.8552			1.5			4.76
9.984			0.8564			1.4			4.83
9.732			0.8973			1.6			4.81
9.103			0.9383			1.6			4.77
9.155			0.9217			1.6			4.77
9.308			0.9095			1.4			4.77
9.394			0.892			1.7			4.79
9.948			0.8742			1.8			4.63
10.177			0.8532			1.9			4.53
10.002			0.8607			2.2			4.52
9.728			0.9005			2.1			4.51
10.002			0.9111			2.4			4.06
10.063			0.9059			2.6			3.76
10.018			0.8883			2.8			3.48
9.96			0.8924			2.7			3.35
10.236			0.8833			2.6			3.31
10.893			0.87			2.9			3.3
10.756			0.8758			2.8			3.3
10.94			0.8858			2.2			3.3
10.997			0.917			2.2			3.32
10.827			0.9554			2.2			3.34
10.166			0.9922			2			3.32
10.186			0.9778			2			3.29
10.457			0.9808			1.7			3.29
10.368			0.9811			1.4			3.29
10.244			1.0014			1.3			3.28
10.511			1.0183			1.4			3.02
10.812			1.0622			1.3			2.84
10.738			1.0773			1.3			2.78
10.171			1.0807			1.4			2.63
9.721			1.0848			2			2.54
9.897			1.1582			1.7			2.56
9.828			1.1663			1.8			2.19
9.924			1.1372			1.7			2.09
10.371			1.1139			1.6			2.06
10.846			1.1222			1.7			2.08
10.413			1.1692			1.9			2.05
10.709			1.1702			1.8			2.03
10.662			1.2286			1.7			2.04
10.57			1.2613			1.6			2.03
10.297			1.2646			1.8			2.01
10.635			1.2262			1.6			2.01
10.872			1.1985			1.5			2.01
10.296			1.2007			1.5			2.01
10.383			1.2138			1.3			2.01
10.431			1.2266			1.4			2.01
10.574			1.2176			1.4			2.02
10.653			1.2218			1.3			2.02
10.805			1.249			1.3			2.03
10.872			1.2991			1.2			2.05
10.625			1.3408			1.1			2.08
10.407			1.3119			1.4			2.07
10.463			1.3014			1.2			2.06
10.556			1.3201			1.5			2.05
10.646			1.2938			1.1			2.05
10.702			1.2694			1.3			2.05
11.353			1.2165			1.5			2.05
11.346			1.2037			1.1			2.05
11.451			1.2292			1.4			2.06
11.964			1.2256			1.3			2.06
12.574			1.2015			1.5			2.07
13.031			1.1786			1.6			2.07
13.812			1.1856			1.7			2.3
14.544			1.2103			1.1			2.31
14.931			1.1938			1.6			2.31
14.886			1.202			1.3			2.53
16.005			1.2271			1.7			2.58
17.064			1.277			1.6			2.59
15.168			1.265			1.7			2.73
16.05			1.2684			1.9			2.82
15.839			1.2811			1.8			3
15.137			1.2727			1.9			3.04
14.954			1.2611			1.6			3.23
15.648			1.2881			1.5			3.32
15.305			1.3213			1.6			3.49
15.579			1.2999			1.6			3.57
16.348			1.3074			1.7			3.56
15.928			1.3242			2			3.72
16.171			1.3516			2			3.82
15.937			1.3511			1.9			3.82
15.713			1.3419			1.7			3.98
15.594			1.3716			1.8			4.06
15.683			1.3622			1.9			4.08
16.438			1.3896			1.7			4.19
17.032			1.4227			2			4.16

Tables (Output of Computation)





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=7618&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=7618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7618&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 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( Goudprijs , Dollarkoers )0.502661829761999.81348335926668e-12
tau( Goudprijs , Inflatie )-0.01022322536225600.8937376417614
tau( Goudprijs , Rentevoeten )-0.03025710300087980.6844188121542
tau( Dollarkoers , Inflatie )-0.1976909888162950.00977432971427516
tau( Dollarkoers , Rentevoeten )-0.2383139447131460.00136429780741831
tau( Inflatie , Rentevoeten )0.3171031624432453.96447774657638e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Goudprijs , Dollarkoers ) & 0.50266182976199 & 9.81348335926668e-12 \tabularnewline
tau( Goudprijs , Inflatie ) & -0.0102232253622560 & 0.8937376417614 \tabularnewline
tau( Goudprijs , Rentevoeten ) & -0.0302571030008798 & 0.6844188121542 \tabularnewline
tau( Dollarkoers , Inflatie ) & -0.197690988816295 & 0.00977432971427516 \tabularnewline
tau( Dollarkoers , Rentevoeten ) & -0.238313944713146 & 0.00136429780741831 \tabularnewline
tau( Inflatie , Rentevoeten ) & 0.317103162443245 & 3.96447774657638e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7618&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( Goudprijs , Dollarkoers )[/C][C]0.50266182976199[/C][C]9.81348335926668e-12[/C][/ROW]
[ROW][C]tau( Goudprijs , Inflatie )[/C][C]-0.0102232253622560[/C][C]0.8937376417614[/C][/ROW]
[ROW][C]tau( Goudprijs , Rentevoeten )[/C][C]-0.0302571030008798[/C][C]0.6844188121542[/C][/ROW]
[ROW][C]tau( Dollarkoers , Inflatie )[/C][C]-0.197690988816295[/C][C]0.00977432971427516[/C][/ROW]
[ROW][C]tau( Dollarkoers , Rentevoeten )[/C][C]-0.238313944713146[/C][C]0.00136429780741831[/C][/ROW]
[ROW][C]tau( Inflatie , Rentevoeten )[/C][C]0.317103162443245[/C][C]3.96447774657638e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7618&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( Goudprijs , Dollarkoers )0.502661829761999.81348335926668e-12
tau( Goudprijs , Inflatie )-0.01022322536225600.8937376417614
tau( Goudprijs , Rentevoeten )-0.03025710300087980.6844188121542
tau( Dollarkoers , Inflatie )-0.1976909888162950.00977432971427516
tau( Dollarkoers , Rentevoeten )-0.2383139447131460.00136429780741831
tau( Inflatie , Rentevoeten )0.3171031624432453.96447774657638e-05


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')