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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 computationTue, 09 Dec 2008 03:13:49 -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/2008/Dec/09/t1228817686h7v4l2o8r5lrf4l.htm/, Retrieved Fri, 17 May 2024 04:42:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31252, Retrieved Fri, 17 May 2024 04:42:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Spectral Analysis] [Gilliam Schoorel] [2008-12-07 21:00:07] [a9b974cca921a7a5a84c6ce01f3dc8c2]
- RMP     [ARIMA Backward Selection] [Gilliam Schoorel] [2008-12-08 12:23:52] [a9b974cca921a7a5a84c6ce01f3dc8c2]
- RMPD      [Spectral Analysis] [gspaper] [2008-12-09 09:44:02] [a9b974cca921a7a5a84c6ce01f3dc8c2]
- RMPD          [Kendall tau Correlation Matrix] [GSpaper] [2008-12-09 10:13:49] [858b7042afe52f6c8b5a77939309cfed] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
467	101.0
460	98.7
448	105.1
443	98.4
436	101.7
431	102.9
484	92.2
510	94.9
513	92.8
503	98.5
471	94.3
471	87.4
476	103.4
475	101.2
470	109.6
461	111.9
455	108.9
456	105.6
517	107.8
525	97.5
523	102.4
519	105.6
509	99.8
512	96.2
519	113.1
517	107.4
510	116.8
509	112.9
501	105.3
507	109.3
569	107.9
580	101.1
578	114.7
565	116.2
547	108.4
555	113.4
562	108.7
561	112.6
555	124.2
544	114.9
537	110.5
543	121.5
594	118.1
611	111.7
613	132.7
611	119.0
594	116.7
595	120.1
591	113.4
589	106.6
584	116.3
573	112.6
567	111.6
569	125.1
621	110.7
629	109.6
628	114.2
612	113.4
595	116.0
597	109.6
593	117.8
590	115.8
580	125.3
574	113.0
573	120.5
573	116.6
620	111.8
626	115.2
620	118.6
588	122.4
566	116.4
557	114.5
561	119.8
549	115.8
532	127.8
526	118.8
511	119.7
499	118.6
555	120.8
565	115.9
542	109.7
527	114.8
510	116.2
514	112.2

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=31252&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=31252&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31252&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( U , productie )0.3608072909909961.31245558110393e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( U , productie ) & 0.360807290990996 & 1.31245558110393e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31252&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( U , productie )[/C][C]0.360807290990996[/C][C]1.31245558110393e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31252&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31252&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( U , productie )0.3608072909909961.31245558110393e-06


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')