FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 28 Nov 2007 11:23:11 -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/28/t11962736586z5162xvp6h39u1.htm/, Retrieved Thu, 02 May 2024 00:03:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7194, Retrieved Thu, 02 May 2024 00:03:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsYannick Leroy, Nick Vandewalle, Jeroen Goetschalckx, Nick Van Hove, Jef Jacobs, Michiel Van den Broeck
Estimated Impact187

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] [Workshop 4: Q4] [2007-11-28 18:23:11] [9ec4fcc2bfe8b6d942eac6074e595603] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,409	-3,5	7
-0,625	-15,7	4
-0,211	25,8	-4
-0,676	-6,3	2
0,274	-8,4	2
0,893	33,5	-2
-0,544	-5,7	3
-0,161	-17,2	-5
-0,296	-3,8	-9
0,742	3	6
0,495	10,5	1
-0,178	2,5	9
0,313	-3,9	-2
-0,66	-12,9	0
-0,103	5,4	-5
-0,463	1,3	2
-0,149	-8	-11
0,865	26,9	11
0,243	0,5	-3
-1,022	-24,1	9
-0,236	-6,9	0
0,72	11,2	5
-0,171	5,9	-2
0,576	4,5	4
0,019	-3,5	3
0,005	-6,7	2
-0,106	3,7	3
-0,667	0,4	4
0,102	-6,3	0
0,702	20,5	-3
0,066	10,2	2
-0,604	-30,1	-3
-0,123	-2,1	6
0,552	8,8	-1
0,083	-5,4	4
0,254	13,6	-5
0,307	-4,8	-11
-0,581	-22,9	-1
0,277	9,9	-6
-0,7	8,3	-3
0,089	-20,2	2
0,245	28,7	-1
-0,017	-1,9	-8
-0,329	-21,4	-8
-0,167	0,2	-20
0,237	9	-17
0,727	-4,6	24
-0,167	12	8
0,282	-4,3	5
-0,585	-15,9	0
-0,057	11,1	1
-0,502	6,8	0
-0,01	-30,4	-2
0,633	46,4	-8
-0,28	-5,9	5
-0,311	-27	0
0,13	11,7	0
1,168	-9,2	-2
0,09	1,2	-9
0,55	3,6	-4

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=7194&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=7194&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7194&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( Verkeersongevallen , Ind.Nijverheid )0.3126943862604850.000419964560107289
tau( Verkeersongevallen , Werkloosheid )-0.01040726911490160.908356298921192
tau( Ind.Nijverheid , Werkloosheid )-0.02139876896938880.812948606291405

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Verkeersongevallen , Ind.Nijverheid ) & 0.312694386260485 & 0.000419964560107289 \tabularnewline
tau( Verkeersongevallen , Werkloosheid ) & -0.0104072691149016 & 0.908356298921192 \tabularnewline
tau( Ind.Nijverheid , Werkloosheid ) & -0.0213987689693888 & 0.812948606291405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7194&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( Verkeersongevallen , Ind.Nijverheid )[/C][C]0.312694386260485[/C][C]0.000419964560107289[/C][/ROW]
[ROW][C]tau( Verkeersongevallen , Werkloosheid )[/C][C]-0.0104072691149016[/C][C]0.908356298921192[/C][/ROW]
[ROW][C]tau( Ind.Nijverheid , Werkloosheid )[/C][C]-0.0213987689693888[/C][C]0.812948606291405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7194&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7194&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( Verkeersongevallen , Ind.Nijverheid )0.3126943862604850.000419964560107289
tau( Verkeersongevallen , Werkloosheid )-0.01040726911490160.908356298921192
tau( Ind.Nijverheid , Werkloosheid )-0.02139876896938880.812948606291405


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')