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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, 28 Dec 2008 07:07:16 -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/28/t1230473275g6d5lz4pgfr8czc.htm/, Retrieved Fri, 17 May 2024 03:41:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36706, Retrieved Fri, 17 May 2024 03:41:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper - Kendal tau correlation matrix 3
Estimated Impact249

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] [Paper - Kendal ta...] [2007-12-19 17:06:39] [5343e105a400b9e32bf6f011133bbaf4]
-    D    [Kendall tau Correlation Matrix] [Paper - Kendal ta...] [2008-12-28 14:07:16] [3efbb18563b4564408d69b3c9a8e9a6e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2.68	5.71	-15.57	5.08
-9.75	13.19	-7	0.09
3.64	-5.5	-2.08	3.83
9.5	1.77	6.06	5.82
-0.33	1.97	3.1	37.12
-0.99	-5.61	-7.28	-0.46
3.16	-7.32	11.93	-3.63
4.27	-1.09	-15.18	-3.88
-2.97	-0.1	-4.97	4.62
-7.49	-9.4	-3.06	-12.97
0.33	-6.39	5.18	3.2
-2.57	-2.03	-2.3	-5.75
4.07	0.9	-1.86	-0.57
5.31	7.57	-8.75	-7.16
-8.09	-2.19	-8.02	-18.05
5.29	3.59	4.8	15.63
7.38	-1.69	3.9	-18.68
-6.12	-1.54	-11.31	-0.7
-3.38	13.36	4.26	2.59
-8.61	-3.66	-6.89	2.57
2.58	0.61	4.13	0.36
10.02	9.25	4.25	32.56
7.08	11.03	-5.92	8.53
-2.75	-3.5	-2.62	1.42
3.42	-6.56	-5.12	3.53
-1.6	5.55	-6.19	0.9
0.65	16.5	1.58	-1.1
2.86	-0.09	6.93	13.32
-3.52	-10.19	1.3	-33.59
5.65	-1.56	0.7	-0.85
4.31	3.62	18.15	42.09
-4.39	-3.46	-13.63	-6.25
-5.85	-0.84	-8.97	-11.08
-5.47	-1.75	-3.48	-29.29
-2.3	-5.59	0.13	-11.17
-0.14	-4.31	0.16	13.92
8.08	8.29	-1.28	13.54
-7.43	-14.07	-8.46	-16.49
0.02	-4.08	-2.92	-9.38
-2.47	3.96	0.15	-2.84
-2.11	-2.54	3.87	-2.88
7.87	24.36	7.71	6.18
4.66	11.73	-4.12	3.71
3.6	3.82	-2.74	3.18
-3.64	-2.98	3.19	-4.18
7.26	7.46	-6.22	13.6
-7.62	-6.39	1.25	4.82
13.83	11.7	4.24	10.05
1.28	2.36	0.15	9.69
-0.32	-7.48	-2.06	-13.63
-2.9	-2.54	2.14	2.81
4.92	-2.31	-1.68	2.39
11.99	10.86	5.03	9.12
10.06	-2.11	2.25	14.21
-2.22	3.41	-6.58	3.49
3.97	11.2	-2.85	5.51
0.56	-1.21	5.04	-6.15
3.34	5.82	4.44	2.72
-2.86	-2.61	-0.68	-11.12
4.38	-1.54	-2.51	-4.7
1.43	-5.42	2.36	1.82
-0.49	11.6	-6.32	-10.44
-1.23	-9.07	-3.82	6.04

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36706&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36706&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36706&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Producten , Machines )0.2838842755078280.00101622078933450
tau( Producten , Electronica )0.2816901500814040.00110568020760970
tau( Producten , Medisch )0.3507424475166414.84883238758282e-05
tau( Machines , Electronica )0.05381856165687290.53341056169747
tau( Machines , Medisch )0.2623623629242020.00239042082030738
tau( Electronica , Medisch )0.2243277922466450.0093805928065871

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Producten , Machines ) & 0.283884275507828 & 0.00101622078933450 \tabularnewline
tau( Producten , Electronica ) & 0.281690150081404 & 0.00110568020760970 \tabularnewline
tau( Producten , Medisch ) & 0.350742447516641 & 4.84883238758282e-05 \tabularnewline
tau( Machines , Electronica ) & 0.0538185616568729 & 0.53341056169747 \tabularnewline
tau( Machines , Medisch ) & 0.262362362924202 & 0.00239042082030738 \tabularnewline
tau( Electronica , Medisch ) & 0.224327792246645 & 0.0093805928065871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36706&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( Producten , Machines )[/C][C]0.283884275507828[/C][C]0.00101622078933450[/C][/ROW]
[ROW][C]tau( Producten , Electronica )[/C][C]0.281690150081404[/C][C]0.00110568020760970[/C][/ROW]
[ROW][C]tau( Producten , Medisch )[/C][C]0.350742447516641[/C][C]4.84883238758282e-05[/C][/ROW]
[ROW][C]tau( Machines , Electronica )[/C][C]0.0538185616568729[/C][C]0.53341056169747[/C][/ROW]
[ROW][C]tau( Machines , Medisch )[/C][C]0.262362362924202[/C][C]0.00239042082030738[/C][/ROW]
[ROW][C]tau( Electronica , Medisch )[/C][C]0.224327792246645[/C][C]0.0093805928065871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36706&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36706&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( Producten , Machines )0.2838842755078280.00101622078933450
tau( Producten , Electronica )0.2816901500814040.00110568020760970
tau( Producten , Medisch )0.3507424475166414.84883238758282e-05
tau( Machines , Electronica )0.05381856165687290.53341056169747
tau( Machines , Medisch )0.2623623629242020.00239042082030738
tau( Electronica , Medisch )0.2243277922466450.0093805928065871


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')