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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 computationSat, 15 Dec 2007 07:28:09 -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/Dec/15/t1197727999bbitd2jlwvz0rl9.htm/, Retrieved Fri, 03 May 2024 00:59:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14380, Retrieved Fri, 03 May 2024 00:59:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

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] [kendall tau gedif...] [2007-12-15 14:28:09] [5ac43e71425951e560979b5aae7d960a] [Current]
-   PD    [Kendall tau Correlation Matrix] [Kendell Tau zonde...] [2007-12-18 15:31:59] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-5331	0,99	11,1	-1,89
-8267	4,05	-7,1	-0,1
-5560	-7,4	-5,7	-0,02
-8672	-1,19	-4	-0,05
-4490	3,15	7,2	0,03
-127	-0,05	-0,4	6,73
-1075	1,83	2,4	0,02
738	-0,83	-8,7	0,1
-618	-5,17	-6,8	0
755	3,51	19,1	0
295	2,94	1,5	-0,14
4034	0,48	-2,7	-0,13
-3485	-1,51	-17,2	1,79
2312	-7,38	-7,5	0,01
6976	0,44	18,4	0,24
5929	6,2	4,5	-0,01
282	-0,21	-3,2	-0,04
476	3,63	0,8	0,01
-3701	-2,61	-13,8	0,05
-552	-3,75	17	-0,1
-398	2,16	-6,4	0,01
-2534	-0,59	2,1	-0,03
1465	0,35	2,2	0
-1741	0,7	-5,5	-0,02
1714	2,31	8	0,6
-3792	0,92	-6	0,06
-7342	2,62	11	-0,26
-5552	-7,4	-17,9	0,34
-274	2,63	12,6	0
2725	1,37	6,7	-0,01
-34	-2,36	-15,1	-0,06
1193	4,35	19,8	0,13
-682	-8,94	-33,2	0,22
-2997	-0,78	2,5	0,04
-690	2,05	26,1	0
-3109	7,69	-8,9	-0,016205333
2213	-0,63	18,1	-0,379989333
3915	3,62	-22,8	1,679586667
5410	-9,45	-10,4	0,057826667
683	6,01	31,2	-0,34
4331	2,96	-13,3	0
-3353	-5,22	10,8	0,009565333
187	3,76	-19,4	0,018261333
-1402	-8,02	-11,8	-0,120434667
-1479	-7,73	1,5	-0,210869333
1210	7,29	16,3	0,056957333
-1097	6,13061375	14,7	0
-1331	-3,852974833	-28,2	
	1,190656333	12,3	
	4,995579833	20,9	
	-4,206122917	-23	
	-2,433080333	-3,5	
	2,484848	16,2	
	-1,708333	-17,1	
	-10,62531358	-32,4	
	4,503787	20,3	
	6,535667917	16,4	
	0,81534075	8,1

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=14380&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=14380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14380&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( inschrijvingen , brandstof )0.1452344998402230.107408151214486
tau( inschrijvingen , aardolie )0.1077155873814990.232459051720340
tau( inschrijvingen , wegvervoer )0.02561843484086010.777898089041366
tau( brandstof , aardolie )0.2972154963680390.000988536111544036
tau( brandstof , wegvervoer )-0.01647397763446910.856110272881233
tau( aardolie , wegvervoer )-0.1324019683955480.145022996465029

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( inschrijvingen , brandstof ) & 0.145234499840223 & 0.107408151214486 \tabularnewline
tau( inschrijvingen , aardolie ) & 0.107715587381499 & 0.232459051720340 \tabularnewline
tau( inschrijvingen , wegvervoer ) & 0.0256184348408601 & 0.777898089041366 \tabularnewline
tau( brandstof , aardolie ) & 0.297215496368039 & 0.000988536111544036 \tabularnewline
tau( brandstof , wegvervoer ) & -0.0164739776344691 & 0.856110272881233 \tabularnewline
tau( aardolie , wegvervoer ) & -0.132401968395548 & 0.145022996465029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14380&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( inschrijvingen , brandstof )[/C][C]0.145234499840223[/C][C]0.107408151214486[/C][/ROW]
[ROW][C]tau( inschrijvingen , aardolie )[/C][C]0.107715587381499[/C][C]0.232459051720340[/C][/ROW]
[ROW][C]tau( inschrijvingen , wegvervoer )[/C][C]0.0256184348408601[/C][C]0.777898089041366[/C][/ROW]
[ROW][C]tau( brandstof , aardolie )[/C][C]0.297215496368039[/C][C]0.000988536111544036[/C][/ROW]
[ROW][C]tau( brandstof , wegvervoer )[/C][C]-0.0164739776344691[/C][C]0.856110272881233[/C][/ROW]
[ROW][C]tau( aardolie , wegvervoer )[/C][C]-0.132401968395548[/C][C]0.145022996465029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14380&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( inschrijvingen , brandstof )0.1452344998402230.107408151214486
tau( inschrijvingen , aardolie )0.1077155873814990.232459051720340
tau( inschrijvingen , wegvervoer )0.02561843484086010.777898089041366
tau( brandstof , aardolie )0.2972154963680390.000988536111544036
tau( brandstof , wegvervoer )-0.01647397763446910.856110272881233
tau( aardolie , wegvervoer )-0.1324019683955480.145022996465029


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
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')