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 computationSun, 08 Nov 2009 11:18:38 -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/Nov/08/t1257704395add9fitx6yo1mbf.htm/, Retrieved Sat, 04 May 2024 12:25:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54618, Retrieved Sat, 04 May 2024 12:25:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact175

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D  [Kendall tau Correlation Matrix] [] [2009-11-08 11:07:22] [2c5be225250d91402426bbbf07a5e2b3]
-           [Kendall tau Correlation Matrix] [] [2009-11-08 18:18:38] [0545e25c765ce26b196961216dc11e13] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.4	2	0.4
1.2	2	1
1	2	1.7
1.7	2	3.1
2.4	2	3.3
2	2	3.1
2.1	2	3.5
2	2	6
1.8	2	5.7
2.7	2	4.7
2.3	2	4.2
1.9	2	3.6
2	2	4.4
2.3	2	2.5
2.8	2	-0.6
2.4	2	-1.9
2.3	2	-1.9
2.7	2	0.7
2.7	2	-0.9
2.9	2	-1.7
3	2	-3.1
2.2	2	-2.1
2.3	2	0.2
2.8	2.21	1.2
2.8	2.25	3.8
2.8	2.25	4
2.2	2.45	6.6
2.6	2.5	5.3
2.8	2.5	7.6
2.5	2.64	4.7
2.4	2.75	6.6
2.3	2.93	4.4
1.9	3	4.6
1.7	3.17	6
2	3.25	4.8
2.1	3.39	4
1.7	3.5	2.7
1.8	3.5	3
1.8	3.65	4.1
1.8	3.75	4
1.3	3.75	2.7
1.3	3.9	2.6
1.3	4	3.1
1.2	4	4.4
1.4	4	3
2.2	4	2
2.9	4	1.3
3.1	4	1.5
3.5	4	1.3
3.6	4	3.2
4.4	4	1.8
4.1	4	3.3
5.1	4	1
5.8	4	2.4
5.9	4.18	0.4
5.4	4.25	-0.1
5.5	4.25	1.3
4.8	3.97	-1.1
3.2	3.42	-4.4
2.7	2.75	-7.5
2.1	2.31	-12.2
1.9	2	-14.5
0.6	1.66	-16
0.7	1.31	-16.7
-0.2	1.09	-16.3
-1	1	-16.9
-1.7	1	-15
-0.7	1	-14.6
-1	1	-14.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54618&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54618&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( inflatie , rente )0.3608344091132194.21179296967722e-05
tau( inflatie , industriëleproductie )0.05422011337553810.516736890779553
tau( rente , industriëleproductie )0.1970197260839860.0242300401297475

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( inflatie , rente ) & 0.360834409113219 & 4.21179296967722e-05 \tabularnewline
tau( inflatie , industriëleproductie ) & 0.0542201133755381 & 0.516736890779553 \tabularnewline
tau( rente , industriëleproductie ) & 0.197019726083986 & 0.0242300401297475 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54618&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( inflatie , rente )[/C][C]0.360834409113219[/C][C]4.21179296967722e-05[/C][/ROW]
[ROW][C]tau( inflatie , industriëleproductie )[/C][C]0.0542201133755381[/C][C]0.516736890779553[/C][/ROW]
[ROW][C]tau( rente , industriëleproductie )[/C][C]0.197019726083986[/C][C]0.0242300401297475[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54618&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( inflatie , rente )0.3608344091132194.21179296967722e-05
tau( inflatie , industriëleproductie )0.05422011337553810.516736890779553
tau( rente , industriëleproductie )0.1970197260839860.0242300401297475


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')