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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 computationFri, 13 Nov 2009 05:39:23 -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/13/t1258115995nkfekgzln09iisy.htm/, Retrieved Sun, 05 May 2024 20:05:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56520, Retrieved Sun, 05 May 2024 20:05:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

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] [] [2009-11-13 12:39:23] [5858ea01c9bd81debbf921a11363ad90] [Current]
-    D    [Kendall tau Correlation Matrix] [] [2009-11-21 14:25:00] [2f674a53c3d7aaa1bcf80e66074d3c9b]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128.4	103.5	115.8	108.8
131.4	104.1	112.2	109.8
135.1	101.9	115.8	109.5
134	102	120.7	109.2
144.5	100.7	118.4	110.6
147.3	99	113.1	110.1
150.9	96.5	116.1	109.9
148.7	101.8	114.4	109.7
141.4	100.5	115.6	109.4
138.9	103.3	113.6	109.4
139.8	102.3	109.2	109.4
145.6	100.4	114.2	109.5
147.9	103	115	109.5
148.5	99	110.1	109.9
151.1	104.8	114.1	110
157.5	104.5	111.8	110.8
167.5	104.8	118.5	112.4
172.3	103.8	120.3	112.8
173.5	106.3	120.6	113.7
187.5	105.2	116.9	114.5
205.5	108.2	122.4	114.8
195.1	106.2	118.2	115.6
204.5	103.9	114.2	115.8
204.5	104.9	119.5	115.8
201.7	106.2	117.6	116.3
207	107.9	120.3	116.3
206.6	106.9	120.8	116.8
210.6	110.3	117	116.7
211.1	109.8	121.4	116.8
215	108.3	121	117
223.9	110.9	120.7	117.2
238.2	109.8	118.2	117.1
238.9	109.3	121.2	117.3
229.6	109	121.6	117.4
232.2	107.9	122.6	117.7
222.1	108.4	122.9	117.9
221.6	107.2	111.2	118.8
227.3	109.5	121.7	119.9
221	109.9	122.1	122.4
213.6	108	117.8	123.5
243.4	114.7	123.8	125.6
253.8	115.6	123.5	127.4
265.3	107.6	119.1	128.9
268.2	115.9	125.5	129.5
268.5	111.8	118.9	130.8
266.9	110	119.3	132.7
268.4	109.2	123	134
250.8	108	115.2	132.9
231.2	105.6	119.2	133.1
192	103	118.4	131.7
171.4	99.6	113.7	128.8
160	97.9	119.7	125.1
148.1	97.6	114.5	123.9
144.8	96.2	113	121.8
147.2	97.9	115.2	119.2
155.1	94.5	113.5	118.9
161.1	95.4	112.9	119.6
169.9	94.4	113.4	120.2
176.2	96.3	112.2	119.9
193.1	95.1	113.1	121

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=56520&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=56520&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56520&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( indgr , indpro )0.5635808299162872.19269269408073e-10
tau( indgr , procon )0.4407943331089066.93993417621996e-07
tau( indgr , afzetb )0.5788005110463627.33559879506629e-11
tau( indpro , procon )0.5307976370517142.44004438876289e-09
tau( indpro , afzetb )0.2607214806061090.00340407475159266
tau( procon , afzetb )0.2431818574350910.00631548689292005

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( indgr , indpro ) & 0.563580829916287 & 2.19269269408073e-10 \tabularnewline
tau( indgr , procon ) & 0.440794333108906 & 6.93993417621996e-07 \tabularnewline
tau( indgr , afzetb
 ) & 0.578800511046362 & 7.33559879506629e-11 \tabularnewline
tau( indpro , procon ) & 0.530797637051714 & 2.44004438876289e-09 \tabularnewline
tau( indpro , afzetb
 ) & 0.260721480606109 & 0.00340407475159266 \tabularnewline
tau( procon , afzetb
 ) & 0.243181857435091 & 0.00631548689292005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56520&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( indgr , indpro )[/C][C]0.563580829916287[/C][C]2.19269269408073e-10[/C][/ROW]
[ROW][C]tau( indgr , procon )[/C][C]0.440794333108906[/C][C]6.93993417621996e-07[/C][/ROW]
[ROW][C]tau( indgr , afzetb
 )[/C][C]0.578800511046362[/C][C]7.33559879506629e-11[/C][/ROW]
[ROW][C]tau( indpro , procon )[/C][C]0.530797637051714[/C][C]2.44004438876289e-09[/C][/ROW]
[ROW][C]tau( indpro , afzetb
 )[/C][C]0.260721480606109[/C][C]0.00340407475159266[/C][/ROW]
[ROW][C]tau( procon , afzetb
 )[/C][C]0.243181857435091[/C][C]0.00631548689292005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56520&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56520&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( indgr , indpro )0.5635808299162872.19269269408073e-10
tau( indgr , procon )0.4407943331089066.93993417621996e-07
tau( indgr , afzetb )0.5788005110463627.33559879506629e-11
tau( indpro , procon )0.5307976370517142.44004438876289e-09
tau( indpro , afzetb )0.2607214806061090.00340407475159266
tau( procon , afzetb )0.2431818574350910.00631548689292005


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')