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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 11:46:36 -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/t1196362635s111oe6zyt63qzw.htm/, Retrieved Fri, 03 May 2024 07:48:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7574, Retrieved Fri, 03 May 2024 07:48:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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] [vraag 4] [2007-11-29 18:46:36] [c40c597932a04e0e43159741c7e63e4c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12	2,27	790,1	5
12	-0,99	14,5	4
16	0,61	-156,5	0
12	0,10	1900,3	-6
11	0,69	-961,2	4
18	-1,03	-582,0	-4
17	0,10	993,6	7
15	-0,48	-892,5	-6
17	0,82	1395,5	-1
19	-0,29	111,5	1
11	0,05	-754,8	-2
14	-0,68	469,5	-1
14	1,20	-306,7	6
13	0,53	42,0	-4
15	0,51	-381,1	-6
15	0,61	-27,0	2
12	0,67	-653,4	-2
10	0,00	904,9	2
13	-0,07	-285,0	0
13	0,09	-475,5	1
10	1,22	901,6	4
8	-1,57	-738,8	-5
10	0,02	115,1	3
14	-0,80	1302,8	-3
11	1,20	-1387,0	2
10	0,16	766,3	5
13	0,41	1325,1	-3
12	1,01	-897,0	1
10	0,47	-545,4	-1
11	-0,11	1937,4	3
12	-0,30	-1589,8	-2
12	-0,59	-1351,8	0
15	-0,03	-623,2	3
11	-0,23	-394,1	-2
15	0,41	1306,0	-2
17	-0,37	-608,1	3
12	0,58	-435,5	-1
14	0,96	-130,1	5
15	1,78	-58,2	-3
15	0,07	239,7	0
13	0,79	329,8	-5

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=7574&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=7574&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7574&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( aankopen , indexcijfers )-0.03105350470222680.785158861760059
tau( aankopen , uitvoer )0.08777007025503420.439998563139084
tau( aankopen , sparen )-0.09444830275657870.418245678853265
tau( indexcijfers , uitvoer )0.07090485741047510.514648379385346
tau( indexcijfers , sparen )0.1763901404900370.114220419488792
tau( uitvoer , sparen )0.06284264096187650.572772137515479

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( aankopen , indexcijfers ) & -0.0310535047022268 & 0.785158861760059 \tabularnewline
tau( aankopen , uitvoer ) & 0.0877700702550342 & 0.439998563139084 \tabularnewline
tau( aankopen , sparen
 ) & -0.0944483027565787 & 0.418245678853265 \tabularnewline
tau( indexcijfers , uitvoer ) & 0.0709048574104751 & 0.514648379385346 \tabularnewline
tau( indexcijfers , sparen
 ) & 0.176390140490037 & 0.114220419488792 \tabularnewline
tau( uitvoer , sparen
 ) & 0.0628426409618765 & 0.572772137515479 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7574&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( aankopen , indexcijfers )[/C][C]-0.0310535047022268[/C][C]0.785158861760059[/C][/ROW]
[ROW][C]tau( aankopen , uitvoer )[/C][C]0.0877700702550342[/C][C]0.439998563139084[/C][/ROW]
[ROW][C]tau( aankopen , sparen
 )[/C][C]-0.0944483027565787[/C][C]0.418245678853265[/C][/ROW]
[ROW][C]tau( indexcijfers , uitvoer )[/C][C]0.0709048574104751[/C][C]0.514648379385346[/C][/ROW]
[ROW][C]tau( indexcijfers , sparen
 )[/C][C]0.176390140490037[/C][C]0.114220419488792[/C][/ROW]
[ROW][C]tau( uitvoer , sparen
 )[/C][C]0.0628426409618765[/C][C]0.572772137515479[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7574&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7574&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( aankopen , indexcijfers )-0.03105350470222680.785158861760059
tau( aankopen , uitvoer )0.08777007025503420.439998563139084
tau( aankopen , sparen )-0.09444830275657870.418245678853265
tau( indexcijfers , uitvoer )0.07090485741047510.514648379385346
tau( indexcijfers , sparen )0.1763901404900370.114220419488792
tau( uitvoer , sparen )0.06284264096187650.572772137515479


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')