FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 17 Dec 2009 01:41:16 -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/2009/Dec/17/t1261039341v9663k201djtgkt.htm/, Retrieved Tue, 30 Apr 2024 03:11:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68641, Retrieved Tue, 30 Apr 2024 03:11:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsw>25 w<25 inflatie
Estimated Impact154

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] [CVM Paper: Kendal...] [2009-12-17 08:41:16] [a5ada8bd39e806b5b90f09589c89554a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25,5	7,5	2
25,6	7,4	1,8
23,7	7,1	2,7
22	6,8	2,3
21,3	6,9	1,9
20,7	7,2	2
20,4	7,4	2,3
20,3	7,3	2,8
20,4	6,9	2,4
19,8	6,9	2,3
19,5	6,8	2,7
23,1	7,1	2,7
23,5	7,2	2,9
23,5	7,1	3
22,9	7	2,2
21,9	6,9	2,3
21,5	7,1	2,8
20,5	7,3	2,8
20,2	7,5	2,8
19,4	7,5	2,2
19,2	7,5	2,6
18,8	7,3	2,8
18,8	7	2,5
22,6	6,7	2,4
23,3	6,5	2,3
23	6,5	1,9
21,4	6,5	1,7
19,9	6,6	2
18,8	6,8	2,1
18,6	6,9	1,7
18,4	6,9	1,8
18,6	6,8	1,8
19,9	6,8	1,8
19,2	6,5	1,3
18,4	6,1	1,3
21,1	6,1	1,3
20,5	5,9	1,2
19,1	5,7	1,4
18,1	5,9	2,2
17	5,9	2,9
17,1	6,1	3,1
17,4	6,3	3,5
16,8	6,2	3,6
15,3	5,9	4,4
14,3	5,7	4,1
13,4	5,4	5,1
15,3	5,6	5,8
22,1	6,2	5,9
23,7	6,3	5,4
22,2	6	5,5
19,5	5,6	4,8
16,6	5,5	3,2
17,3	5,9	2,7
19,8	6,5	2,1
21,2	6,8	1,9
21,5	6,8	0,6
20,6	6,5	0,7
19,1	6,2	-0,2
19,6	6,2	-1
23,5	6,5	-1,7
24	6,7	-0,7

Tables (Output of Computation)





Summary of computational 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 computational 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=68641&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]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=68641&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68641&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( W<25 , W>25 )0.3285261499450420.000277655325701565
tau( W<25 , Inflatie )-0.1636117100621280.0668517917178109
tau( W>25 , Inflatie )-0.03586020399449760.693666987308058

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( W<25 , W>25 ) & 0.328526149945042 & 0.000277655325701565 \tabularnewline
tau( W<25 , Inflatie ) & -0.163611710062128 & 0.0668517917178109 \tabularnewline
tau( W>25 , Inflatie ) & -0.0358602039944976 & 0.693666987308058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68641&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( W<25 , W>25 )[/C][C]0.328526149945042[/C][C]0.000277655325701565[/C][/ROW]
[ROW][C]tau( W<25 , Inflatie )[/C][C]-0.163611710062128[/C][C]0.0668517917178109[/C][/ROW]
[ROW][C]tau( W>25 , Inflatie )[/C][C]-0.0358602039944976[/C][C]0.693666987308058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68641&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68641&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( W<25 , W>25 )0.3285261499450420.000277655325701565
tau( W<25 , Inflatie )-0.1636117100621280.0668517917178109
tau( W>25 , Inflatie )-0.03586020399449760.693666987308058


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')