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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 09:16:50 -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/t11963531646dbarypwqngdyqy.htm/, Retrieved Fri, 03 May 2024 09:46:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7541, Retrieved Fri, 03 May 2024 09:46:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact223

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 Corre...] [2007-11-29 16:16:50] [89d26cd0a44959d9c8b169f34617598a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,6	15023,6	96,9	113,31
7,7	12083	95,5	113,15
7,6	15761,3	108,4	113,34
8,2	16943	117	113,42
8	15070,3	103,8	113,5
8,1	13659,6	100,8	113,4
8,3	14768,9	110,6	115,26
8,2	14725,1	104	116,8
8,1	15998,1	112,6	117,28
7,7	15370,6	107,3	117,64
7,6	14956,9	98,9	118,19
7,7	15469,7	109,8	118,64
8,2	15101,8	104,9	118,6
8,4	11703,7	102,2	118,82
8,4	16283,6	123,9	118,92
8,6	16726,5	124,9	118,7
8,4	14968,9	112,7	118,7
8,5	14861	121,9	118,68
8,7	14583,3	100,6	119,76
8,7	15305,8	104,3	122,78
8,6	17903,9	120,4	122,91
7,4	16379,4	107,5	123,31
7,3	15420,3	102,9	123,22
7,4	17870,5	125,6	123,24
9	15912,8	107,5	123,34
9,2	13866,5	108,8	123,11
9,2	17823,2	128,4	123,3
8,5	17872	121,1	123,17
8,3	17420,4	119,5	123,09
8,3	16704,4	128,7	123,06
8,6	15991,2	108,7	124,46
8,6	16583,6	105,5	125,51
8,5	19123,5	119,8	126,27
8,1	17838,7	111,3	126,94
8,1	17209,4	110,6	127,03
8	18586,5	120,1	127,11
8,6	16258,1	97,5	127,25
8,7	15141,6	107,7	127,51
8,7	19202,1	127,3	128,67
8,6	17746,5	117,2	128,91
8,4	19090,1	119,8	128,99
8,4	18040,3	116,2	129,04
8,7	17515,5	111	104,71
8,7	17751,8	112,4	105,35
8,5	21072,4	130,6	106,31
8,3	17170	109,1	106,26
8,3	19439,5	118,8	106,97
8,3	19795,4	123,9	107,04
8,1	17574,9	101,6	106,98
8,2	16165,4	112,8	107,05
8,1	19464,6	128	107,33
8,1	19932,1	129,6	107,3
7,9	19961,2	125,8	107,28
7,7	17343,4	119,5	107,58
8,1	18924,2	115,7	109,03
8	18574,1	113,6	110,43
7,7	21350,6	129,7	111,01
7,8	18840,1	112	111,01
7,6	20304,8	116,8	110,76
7,4	21132,4	127	111,13
7,7	19753,9	112,9	111,07

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=7541&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=7541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7541&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( werkloosheid , uitvoer )-0.0933558717671070.302363787023741
tau( werkloosheid , consumptiegoederen )0.06798812294577320.453157657210553
tau( werkloosheid , woninghuur )0.2020986255120510.0256409230027073
tau( uitvoer , consumptiegoederen )0.5564984687306232.46248577084884e-10
tau( uitvoer , woninghuur )-0.09513396719907090.278884289040613
tau( consumptiegoederen , woninghuur )-0.04653710849367880.596791991123865

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheid , uitvoer ) & -0.093355871767107 & 0.302363787023741 \tabularnewline
tau( werkloosheid , consumptiegoederen ) & 0.0679881229457732 & 0.453157657210553 \tabularnewline
tau( werkloosheid , woninghuur ) & 0.202098625512051 & 0.0256409230027073 \tabularnewline
tau( uitvoer , consumptiegoederen ) & 0.556498468730623 & 2.46248577084884e-10 \tabularnewline
tau( uitvoer , woninghuur ) & -0.0951339671990709 & 0.278884289040613 \tabularnewline
tau( consumptiegoederen , woninghuur ) & -0.0465371084936788 & 0.596791991123865 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7541&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( werkloosheid , uitvoer )[/C][C]-0.093355871767107[/C][C]0.302363787023741[/C][/ROW]
[ROW][C]tau( werkloosheid , consumptiegoederen )[/C][C]0.0679881229457732[/C][C]0.453157657210553[/C][/ROW]
[ROW][C]tau( werkloosheid , woninghuur )[/C][C]0.202098625512051[/C][C]0.0256409230027073[/C][/ROW]
[ROW][C]tau( uitvoer , consumptiegoederen )[/C][C]0.556498468730623[/C][C]2.46248577084884e-10[/C][/ROW]
[ROW][C]tau( uitvoer , woninghuur )[/C][C]-0.0951339671990709[/C][C]0.278884289040613[/C][/ROW]
[ROW][C]tau( consumptiegoederen , woninghuur )[/C][C]-0.0465371084936788[/C][C]0.596791991123865[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7541&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( werkloosheid , uitvoer )-0.0933558717671070.302363787023741
tau( werkloosheid , consumptiegoederen )0.06798812294577320.453157657210553
tau( werkloosheid , woninghuur )0.2020986255120510.0256409230027073
tau( uitvoer , consumptiegoederen )0.5564984687306232.46248577084884e-10
tau( uitvoer , woninghuur )-0.09513396719907090.278884289040613
tau( consumptiegoederen , woninghuur )-0.04653710849367880.596791991123865


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')