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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 05:22:22 -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/t1261052635e191xtpq91qxqd4.htm/, Retrieved Tue, 30 Apr 2024 04:47:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68790, Retrieved Tue, 30 Apr 2024 04:47:30 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHW Paper: Kendall tau correlation matrix
Estimated Impact121

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] [WS 6 Kendall tau ...] [2009-11-05 10:28:59] [b103a1dc147def8132c7f643ad8c8f84]
-           [Kendall tau Correlation Matrix] [Paper: Kendall ta...] [2009-12-17 12:22:22] [a45cc820faa25ce30779915639528ec2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.2	15.5	-0.8	100.2
13.5	15.1	-0.2	100.4
11.9	11.7	0.2	101.4
14.6	16.3	1	103
15.6	16.7	0	109.1
14.1	15	-0.2	111.4
14.9	14.9	1	114.1
14.2	14.6	0.4	121.8
14.6	15.3	1	127.6
17.2	17.9	1.7	129.9
15.4	16.4	3.1	128
14.3	15.4	3.3	123.5
17.5	17.9	3.1	124
14.5	15.9	3.5	127.4
14.4	13.9	6	127.6
16.6	17.8	5.7	128.4
16.7	17.9	4.7	131.4
16.6	17.4	4.2	135.1
16.9	16.7	3.6	134
15.7	16	4.4	144.5
16.4	16.6	2.5	147.3
18.4	19.1	-0.6	150.9
16.9	17.8	-1.9	148.7
16.5	17.2	-1.9	141.4
18.3	18.6	0.7	138.9
15.1	16.3	-0.9	139.8
15.7	15.1	-1.7	145.6
18.1	19.2	-3.1	147.9
16.8	17.7	-2.1	148.5
18.9	19.1	0.2	151.1
19	18	1.2	157.5
18.1	17.5	3.8	167.5
17.8	17.8	4	172.3
21.5	21.1	6.6	173.5
17.1	17.2	5.3	187.5
18.7	19.4	7.6	205.5
19	19.8	4.7	195.1
16.4	17.6	6.6	204.5
16.9	16.2	4.4	204.5
18.6	19.5	4.6	201.7
19.3	19.9	6	207
19.4	20	4.8	206.6
17.6	17.3	4	210.6
18.6	18.9	2.7	211.1
18.1	18.6	3	215
20.4	21.4	4.1	223.9
18.1	18.6	4	238.2
19.6	19.8	2.7	238.9
19.9	20.8	2.6	229.6
19.2	19.6	3.1	232.2
17.8	17.7	4.4	222.1
19.2	19.8	3	221.6
22	22.2	2	227.3
21.1	20.7	1.3	221
19.5	17.9	1.5	213.6
22.2	20.9	1.3	243.4
20.9	21.2	3.2	253.8
22.2	21.4	1.8	265.3
23.5	23	3.3	268.2
21.5	21.3	1	268.5
24.3	23.9	2.4	266.9
22.8	22.4	0.4	268.4
20.3	18.3	-0.1	250.8
23.7	22.8	1.3	231.2
23.3	22.3	-1.1	192
19.6	17.8	-4.4	171.4
18	16.4	-7.5	160
17.3	16	-12.2	148.1
16.8	16.4	-14.5	144.8
18.2	17.7	-16	147.2
16.5	16.6	-16.7	155.1
16	16.2	-16.3	161.1
18.4	18.3	-16.9	169.9

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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68790&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]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68790&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68790&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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Inv , Uitv )0.8060807529368720
tau( Inv , Ip )0.05726366026714760.47765776585379
tau( Inv , Pig )0.6860481347273250
tau( Uitv , Ip )0.1301502601156550.107170996971854
tau( Uitv , Pig )0.6030764660696286.3948846218409e-14
tau( Ip , Pig )0.1148119834857680.152925648524467

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Inv , Uitv ) & 0.806080752936872 & 0 \tabularnewline
tau( Inv , Ip ) & 0.0572636602671476 & 0.47765776585379 \tabularnewline
tau( Inv , Pig
 ) & 0.686048134727325 & 0 \tabularnewline
tau( Uitv , Ip ) & 0.130150260115655 & 0.107170996971854 \tabularnewline
tau( Uitv , Pig
 ) & 0.603076466069628 & 6.3948846218409e-14 \tabularnewline
tau( Ip , Pig
 ) & 0.114811983485768 & 0.152925648524467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68790&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( Inv , Uitv )[/C][C]0.806080752936872[/C][C]0[/C][/ROW]
[ROW][C]tau( Inv , Ip )[/C][C]0.0572636602671476[/C][C]0.47765776585379[/C][/ROW]
[ROW][C]tau( Inv , Pig
 )[/C][C]0.686048134727325[/C][C]0[/C][/ROW]
[ROW][C]tau( Uitv , Ip )[/C][C]0.130150260115655[/C][C]0.107170996971854[/C][/ROW]
[ROW][C]tau( Uitv , Pig
 )[/C][C]0.603076466069628[/C][C]6.3948846218409e-14[/C][/ROW]
[ROW][C]tau( Ip , Pig
 )[/C][C]0.114811983485768[/C][C]0.152925648524467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68790&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68790&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( Inv , Uitv )0.8060807529368720
tau( Inv , Ip )0.05726366026714760.47765776585379
tau( Inv , Pig )0.6860481347273250
tau( Uitv , Ip )0.1301502601156550.107170996971854
tau( Uitv , Pig )0.6030764660696286.3948846218409e-14
tau( Ip , Pig )0.1148119834857680.152925648524467


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')