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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, 29 Nov 2007 11:14:19 -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/29/t1196359482femyclsn0rn8pku.htm/, Retrieved Fri, 03 May 2024 14:32:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7562, Retrieved Fri, 03 May 2024 14:32:28 +0000
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Original text written by user:Inducing stationary in time series vraag 4
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact232

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 (diff)] [2007-11-29 18:14:19] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0,1	0	0,4	0,6
0	0	-6,3	1,8
0	0	0,4	2,3
0	0	-1,3	1,4
0	0	0,7	0,4
0	0	-3,5	-0,6
0	0	2	-1
0	0	3,9	0,1
0	0	7,8	0,8
0	0	7	0,7
0	0	-0,9	1,1
0	0	3	1,2
0	38	-0,7	1,1
0,3	43	8,8	0,1
4,1	43	-8,1	-0,5
-1,1	44	2,7	0,4
0	45	2,5	0,3
4,1	35	11,8	-0,6
1,9	36	-1,5	0,4
1,1	36	-7,7	2,2
0	25	-13,5	2,3
0	31	-1,6	2,1
0,8	35	-1,8	1,5
1,5	46	2,3	-0,6
2	47	3,1	-0,9
0	40	-2,5	0,3
4,8	29	7,1	-10,4
-1,4	28	-7,5	-1,1
-4,4	29	-4,8	-0,4
-2,8	29	-7,1	1,1
2,9	30	2,7	2,3
0,7	26	10,5	2,2
0,4	27	7,6	0,3
-2	18	2,8	-1,5
-0,7	15	-5,6	-1,1
0	1	-5	0,6
0	1	-2,9	1
0	2	-5,2	0,4
8,4	2	9,7	0,5
1,4	1	6,9	0,5
0	-4	9,3	-0,2
-1,2	1	-1,4	-0,1
0	6	1,1	-0,5
5,1	4	-11,2	-0,6
-3,7	-1	-0,5	0,7
-4,1	-3	-8,9	1,5
3,5	-8	2,4	0,7
0	-24	1,9	-0,3
1,2	-29	0,5	-0,4
0	-40	-0,1	-0,1
0	-32	-2,8	-0,5
0	-41	-1,8	-0,2
-2,8	-48	-0,9	0,6

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7562&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]1 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=7562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7562&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( energieprijzen , werkloosheid )0.2089229945440760.0434627233854925
tau( energieprijzen , personenwagens )0.2533093464854980.0123577235374992
tau( energieprijzen , industriële_productie )-0.03997446890913620.696288577600876
tau( werkloosheid , personenwagens )0.00748517671828150.93843438584239
tau( werkloosheid , industriële_productie )-0.06594202473100720.501075854750042
tau( personenwagens , industriële_productie )-0.08401543605436490.381149158720418

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( energieprijzen , werkloosheid ) & 0.208922994544076 & 0.0434627233854925 \tabularnewline
tau( energieprijzen , personenwagens ) & 0.253309346485498 & 0.0123577235374992 \tabularnewline
tau( energieprijzen , industriële_productie ) & -0.0399744689091362 & 0.696288577600876 \tabularnewline
tau( werkloosheid , personenwagens ) & 0.0074851767182815 & 0.93843438584239 \tabularnewline
tau( werkloosheid , industriële_productie ) & -0.0659420247310072 & 0.501075854750042 \tabularnewline
tau( personenwagens , industriële_productie ) & -0.0840154360543649 & 0.381149158720418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7562&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( energieprijzen , werkloosheid )[/C][C]0.208922994544076[/C][C]0.0434627233854925[/C][/ROW]
[ROW][C]tau( energieprijzen , personenwagens )[/C][C]0.253309346485498[/C][C]0.0123577235374992[/C][/ROW]
[ROW][C]tau( energieprijzen , industriële_productie )[/C][C]-0.0399744689091362[/C][C]0.696288577600876[/C][/ROW]
[ROW][C]tau( werkloosheid , personenwagens )[/C][C]0.0074851767182815[/C][C]0.93843438584239[/C][/ROW]
[ROW][C]tau( werkloosheid , industriële_productie )[/C][C]-0.0659420247310072[/C][C]0.501075854750042[/C][/ROW]
[ROW][C]tau( personenwagens , industriële_productie )[/C][C]-0.0840154360543649[/C][C]0.381149158720418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7562&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( energieprijzen , werkloosheid )0.2089229945440760.0434627233854925
tau( energieprijzen , personenwagens )0.2533093464854980.0123577235374992
tau( energieprijzen , industriële_productie )-0.03997446890913620.696288577600876
tau( werkloosheid , personenwagens )0.00748517671828150.93843438584239
tau( werkloosheid , industriële_productie )-0.06594202473100720.501075854750042
tau( personenwagens , industriële_productie )-0.08401543605436490.381149158720418


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')