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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, 05 Dec 2008 05:37:48 -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/2008/Dec/05/t1228480711zv8zsflz7lqg3nc.htm/, Retrieved Thu, 16 May 2024 13:31:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29214, Retrieved Thu, 16 May 2024 13:31:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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 Corre...] [2007-11-09 12:45:53] [74be16979710d4c4e7c6647856088456]
- R  D    [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2008-12-05 12:37:48] [b5110a3ab194da7214bdf478e0a05dbd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,43	109,1	2187	88,3
4,61	113,8	1852	88,6
4,54	97,4	1570	91
4,2	72,5	1851	91,5
4,08	82,7	1954	95,4
3,95	88,9	1828	98,7
4,19	105,9	2251	99,9
4,23	100,8	2277	98,6
3,89	94	2085	100,3
3,92	105	2282	100,2
4,14	58,5	2266	100,4
4,24	87,6	1878	101,4
4,08	113,1	2267	103
4,37	112,5	2069	109,1
4,43	89,6	1746	111,4
4,3	74,5	2299	114,1
4,27	82,7	2360	121,8
4,06	90,1	2214	127,6
3,96	109,4	2825	129,9
4,21	96	2355	128
4,31	89,2	2333	123,5
4,35	109,1	3016	124
4,25	49,1	2155	127,4
4,06	92,9	2172	127,6
4	107,7	2150	128,4
3,87	103,5	2533	131,4
3,71	91,1	2058	135,1
3,63	79,8	2160	134
3,48	71,9	2259	144,5
3,6	82,9	2498	147,3
3,66	90,1	2695	150,9
3,45	100,7	2799	148,7
3,3	90,7	2945	141,4
3,14	108,8	2930	138,9
3,21	44,1	2318	139,8
3,12	93,6	2540	145,6
3,14	107,4	2570	147,9
3,4	96,5	2669	148,5
3,42	93,6	2450	151,1
3,29	76,5	2842	157,5
3,49	76,7	3439	167,5
3,52	84	2677	172,3
3,81	103,3	2979	173,5
4,03	88,5	2257	187,5
3,98	99	2842	205,5
4,1	105,9	2546	195,1
3,96	44,7	2455	204,5
3,83	94	2293	204,5
3,72	107,1	2379	201,7
3,82	104,8	2478	207
3,76	102,5	2054	206,6
3,98	77,7	2272	210,6
4,14	85,2	2351	211,1
4	91,3	2271	215
4,13	106,5	2542	223,9
4,28	92,4	2304	238,2
4,46	97,5	2194	238,9
4,63	107	2722	229,6
4,49	51,1	2395	232,2
4,41	98,6	2146	222,1
4,5	102,2	1894	221,6
4,39	114,3	2548	227,3
4,33	99,4	2087	221
4,45	72,5	2063	213,6
4,17	92,3	2481	243,4
4,13	99,4	2476	253,8
4,33	85,9	2212	265,3
4,47	109,4	2834	268,2
4,63	97,6	2148	268,5
4,9	104,7	2598	266,9

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

\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=29214&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=29214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29214&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( Rente , Ind.Prod. )0.1226611332645640.134671134560561
tau( Rente , Bouwvergunn. )-0.2826905217299190.000554451483490519
tau( Rente , Tot.pr. )0.0817937902636710.317848247269823
tau( Ind.Prod. , Bouwvergunn. )0.1224068076057810.134721071768875
tau( Ind.Prod. , Tot.pr. )0.03403199274127060.677577789925735
tau( Bouwvergunn. , Tot.pr. )0.2378288843246880.00361317743930445

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Rente , Ind.Prod. ) & 0.122661133264564 & 0.134671134560561 \tabularnewline
tau( Rente , Bouwvergunn. ) & -0.282690521729919 & 0.000554451483490519 \tabularnewline
tau( Rente , Tot.pr. ) & 0.081793790263671 & 0.317848247269823 \tabularnewline
tau( Ind.Prod. , Bouwvergunn. ) & 0.122406807605781 & 0.134721071768875 \tabularnewline
tau( Ind.Prod. , Tot.pr. ) & 0.0340319927412706 & 0.677577789925735 \tabularnewline
tau( Bouwvergunn. , Tot.pr. ) & 0.237828884324688 & 0.00361317743930445 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29214&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( Rente , Ind.Prod. )[/C][C]0.122661133264564[/C][C]0.134671134560561[/C][/ROW]
[ROW][C]tau( Rente , Bouwvergunn. )[/C][C]-0.282690521729919[/C][C]0.000554451483490519[/C][/ROW]
[ROW][C]tau( Rente , Tot.pr. )[/C][C]0.081793790263671[/C][C]0.317848247269823[/C][/ROW]
[ROW][C]tau( Ind.Prod. , Bouwvergunn. )[/C][C]0.122406807605781[/C][C]0.134721071768875[/C][/ROW]
[ROW][C]tau( Ind.Prod. , Tot.pr. )[/C][C]0.0340319927412706[/C][C]0.677577789925735[/C][/ROW]
[ROW][C]tau( Bouwvergunn. , Tot.pr. )[/C][C]0.237828884324688[/C][C]0.00361317743930445[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29214&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( Rente , Ind.Prod. )0.1226611332645640.134671134560561
tau( Rente , Bouwvergunn. )-0.2826905217299190.000554451483490519
tau( Rente , Tot.pr. )0.0817937902636710.317848247269823
tau( Ind.Prod. , Bouwvergunn. )0.1224068076057810.134721071768875
tau( Ind.Prod. , Tot.pr. )0.03403199274127060.677577789925735
tau( Bouwvergunn. , Tot.pr. )0.2378288843246880.00361317743930445


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')