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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 computationWed, 04 Nov 2009 08:09:04 -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/04/t1257347532gi69reoymtq8jd8.htm/, Retrieved Mon, 29 Apr 2024 13:29:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53624, Retrieved Mon, 29 Apr 2024 13:29:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws6
Estimated Impact188

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]
- R  D    [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2009-11-04 15:09:04] [a931a0a30926b49d162330b43e89b999] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
116,07	113,14	285351	325412
116,04	113,42	286602	326011
115,81	114,67	283042	328282
116,22	114,03	276687	317480
115,85	113,37	277915	317539
100,29	100,66	277128	313737
101,12	101,55	277103	312276
102,65	102,23	275037	309391
102,71	102,9	270150	302950
103,39	102,68	267140	300316
102,8	103,41	264993	304035
102,07	104,62	287259	333476
102,15	104,93	291186	337698
101,21	105,88	292300	335932
101,27	105,18	288186	323931
101,86	104,54	281477	313927
101,65	104,58	282656	314485
101,94	104,34	280190	313218
102,62	104,66	280408	309664
102,72	104,73	276836	302963
103,39	105,44	275216	298989
104,51	105,72	274352	298423
104,09	105,68	271311	310631
104,29	105,9	289802	329765
104,57	105,97	290726	335083
105,39	105,21	292300	327616
105,15	104,75	278506	309119
106,13	104,89	269826	295916
105,46	105,26	265861	291413
106,47	104,84	269034	291542
106,62	105,47	264176	284678
106,52	105,4	255198	276475
108,04	105,73	253353	272566
107,15	105,72	246057	264981
107,32	105,63	235372	263290
107,76	105,97	258556	296806
107,26	105,92	260993	303598
107,89	106,32	254663	286994
109,08	106,97	250643	276427
110,4	108,68	243422	266424
111,03	108,68	247105	267153
112,05	109,39	248541	268381
112,28	110,53	245039	262522
112,8	111,8	237080	255542
114,17	112,16	237085	253158
114,92	113,65	225554	243803
114,65	114,77	226839	250741
115,49	115,03	247934	280445
114,67	113,66	248333	285257
114,71	114,29	246969	270976
115,15	113,31	245098	261076
115,03	111,79	246263	255603
115,07	110,82	255765	260376
116,46	110,58	264319	263903
116,37	110,57	268347	264291
116,2	109,29	273046	263276
116,5	109,58	273963	262572
116,38	109,34	267430	256167
115,44	108,93	271993	264221
114,96	108,54	292710	293860
114,48	109,61	295881	300713
114,3	109,1	293299	287224

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53624&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53624&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53624&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'George Udny Yule' @ 72.249.76.132






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( voedingsprijzen , niet_voedingsprijzen )0.6866067664045383.33066907387547e-15
tau( voedingsprijzen , werkloosheid_mannen )-0.2714285714285710.00183248373254523
tau( voedingsprijzen , werkloosheid_vrouwen )-0.4506744405176562.27650937748086e-07
tau( niet_voedingsprijzen , werkloosheid_mannen )-0.2472207863615410.0045567369664978
tau( niet_voedingsprijzen , werkloosheid_vrouwen )-0.3651760875492312.77301458804117e-05
tau( werkloosheid_mannen , werkloosheid_vrouwen )0.656969078782784.55191440096314e-14

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( voedingsprijzen , niet_voedingsprijzen ) & 0.686606766404538 & 3.33066907387547e-15 \tabularnewline
tau( voedingsprijzen , werkloosheid_mannen ) & -0.271428571428571 & 0.00183248373254523 \tabularnewline
tau( voedingsprijzen , werkloosheid_vrouwen ) & -0.450674440517656 & 2.27650937748086e-07 \tabularnewline
tau( niet_voedingsprijzen , werkloosheid_mannen ) & -0.247220786361541 & 0.0045567369664978 \tabularnewline
tau( niet_voedingsprijzen , werkloosheid_vrouwen ) & -0.365176087549231 & 2.77301458804117e-05 \tabularnewline
tau( werkloosheid_mannen , werkloosheid_vrouwen ) & 0.65696907878278 & 4.55191440096314e-14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53624&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( voedingsprijzen , niet_voedingsprijzen )[/C][C]0.686606766404538[/C][C]3.33066907387547e-15[/C][/ROW]
[ROW][C]tau( voedingsprijzen , werkloosheid_mannen )[/C][C]-0.271428571428571[/C][C]0.00183248373254523[/C][/ROW]
[ROW][C]tau( voedingsprijzen , werkloosheid_vrouwen )[/C][C]-0.450674440517656[/C][C]2.27650937748086e-07[/C][/ROW]
[ROW][C]tau( niet_voedingsprijzen , werkloosheid_mannen )[/C][C]-0.247220786361541[/C][C]0.0045567369664978[/C][/ROW]
[ROW][C]tau( niet_voedingsprijzen , werkloosheid_vrouwen )[/C][C]-0.365176087549231[/C][C]2.77301458804117e-05[/C][/ROW]
[ROW][C]tau( werkloosheid_mannen , werkloosheid_vrouwen )[/C][C]0.65696907878278[/C][C]4.55191440096314e-14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53624&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53624&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( voedingsprijzen , niet_voedingsprijzen )0.6866067664045383.33066907387547e-15
tau( voedingsprijzen , werkloosheid_mannen )-0.2714285714285710.00183248373254523
tau( voedingsprijzen , werkloosheid_vrouwen )-0.4506744405176562.27650937748086e-07
tau( niet_voedingsprijzen , werkloosheid_mannen )-0.2472207863615410.0045567369664978
tau( niet_voedingsprijzen , werkloosheid_vrouwen )-0.3651760875492312.77301458804117e-05
tau( werkloosheid_mannen , werkloosheid_vrouwen )0.656969078782784.55191440096314e-14


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')