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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 computationThu, 20 Dec 2007 09:13:51 -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/Dec/20/t1198166177cr6x50a4hlufpbf.htm/, Retrieved Mon, 29 Apr 2024 08:26:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4748, Retrieved Mon, 29 Apr 2024 08:26:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact255

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [PAPER, TIM, GIEL,...] [2007-12-13 15:05:38] [beddef6ae4019f3e51da5e10d233ec85]
- RM D    [Kendall tau Correlation Matrix] [Paper Tim, Giel, Rik] [2007-12-20 16:13:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
513	6,6	87
503	7,8	75
471	7,4	74
471	7,4	91
476	7,5	101
475	7,4	103
470	7,4	106
461	7	102
455	6,9	105
456	6,9	105
517	7,6	100
525	7,7	95
523	7,6	96
519	8,2	98
509	8	99
512	8,1	92
519	8,3	84
517	8,2	81
510	8,1	72
509	7,7	89
501	7,6	96
507	7,7	91
569	8,2	88
580	8,4	90
578	8,4	98
565	8,6	87
547	8,4	100
555	8,5	100
562	8,7	104
561	8,7	107
555	8,6	105
544	7,4	102
537	7,3	98
543	7,4	106
594	9	97
611	9,2	101
613	9,2	100
611	8,5	93
594	8,3	94
595	8,3	96
591	8,6	96
589	8,6	98
584	8,5	102
573	8,1	95
567	8,1	85
569	8	84
621	8,6	82
629	8,7	87
628	8,7	77
612	8,6	90
595	8,4	90
597	8,4	94
593	8,7	97
590	8,7	96
580	8,5	93
574	8,3	93
573	8,3	93
573	8,3	97
620	8,1	100
626	8,2	95
620	8,1	97
588	8,1	103
566	7,9	102
557	7,7	93
561	8,1	99
549	8	100
532	7,7	97
526	7,8	104
511	7,6	102
499	7,4	103
555	7,7	100
565	7,8	90
542	7,5	90

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4748&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4748&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4748&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( WLoos , WZoeken )0.604668684910351.92512672470002e-13
tau( WLoos , Econ )-0.1318704820849730.105732360984308
tau( WZoeken , Econ )-0.1232610151527680.1392032187226

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WLoos , WZoeken ) & 0.60466868491035 & 1.92512672470002e-13 \tabularnewline
tau( WLoos , Econ ) & -0.131870482084973 & 0.105732360984308 \tabularnewline
tau( WZoeken , Econ ) & -0.123261015152768 & 0.1392032187226 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4748&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( WLoos , WZoeken )[/C][C]0.60466868491035[/C][C]1.92512672470002e-13[/C][/ROW]
[ROW][C]tau( WLoos , Econ )[/C][C]-0.131870482084973[/C][C]0.105732360984308[/C][/ROW]
[ROW][C]tau( WZoeken , Econ )[/C][C]-0.123261015152768[/C][C]0.1392032187226[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4748&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4748&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( WLoos , WZoeken )0.604668684910351.92512672470002e-13
tau( WLoos , Econ )-0.1318704820849730.105732360984308
tau( WZoeken , Econ )-0.1232610151527680.1392032187226


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')