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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 19 Dec 2009 05:47:04 -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/Dec/19/t12612271300d3ktz0mn7di899.htm/, Retrieved Fri, 03 May 2024 20:23:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69557, Retrieved Fri, 03 May 2024 20:23:44 +0000
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Estimated Impact107
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...] [2008-12-21 14:29:04] [9d9b7f5939a0141f3b220bbc5743a411]
-  M D    [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2009-12-19 12:47:04] [986e3c28a4248c495afaef9fd432264f] [Current]
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Dataseries X:
97,8	579
93	572
92,5	560
89,4	551
93,6	537
89	541
87,7	588
88,8	607
88,5	599
91,1	578
88,8	563
83,3	566
76,8	561
74,5	554
72,1	540
73,2	526
72,6	512
69,4	505
68,7	554
66,9	584
69,1	569
67,5	540
64,8	522
60,6	526
61,7	527
60,2	516
65,3	503
70,7	489
71,5	479
72	475
77	524
81	552
87,1	532
85,6	511
90,2	492
92,4	492
93,9	493
97,5	481
98,1	462
89,6	457
98,4	442
102	439
99,2	488
101,8	521
108,3	501
106,7	485
108,2	464
94,2	460
95,1	467
98,1	460
93,2	448
94	443
97,2	436
95	431
90,5	484
91,6	510
90,5	513
79,9	503
74,9	471
74,3	471
75,9	476
77,7	475
86,9	470
90,7	461
91	455
89,5	456
92,5	517
94,1	525
98,5	523
96,8	519
91,2	509
97,1	512
104,9	519
110,9	517
104,8	510
94,1	509
95,8	501
99,3	507
101,1	569
104	580
99	578
105,4	565
107,1	547
110,7	555
117,1	562
118,7	561
126,5	555
127,5	544
134,6	537
131,8	543
135,9	594
142,7	611
141,7	613
153,4	611
145	594
137,7	595
148,3	591
152,2	589
169,4	584
168,6	573
161,1	567
174,1	569
179	621
190,6	629
190	628
181,6	612
174,8	595
180,5	597
196,8	593
193,8	590
197	580
216,3	574
221,4	573
217,9	573
229,7	620
227,4	626
204,2	620
196,6	588
198,8	566
207,5	557
190,7	561
201,6	549
210,5	532
223,5	526
223,8	511
231,2	499
244	555
234,7	565
250,2	542
265,7	527
287,6	510
283,3	514
295,4	517
312,3	508
333,8	493
347,7	490
383,2	469
407,1	478
413,6	528
362,7	534
321,9	518
239,4	506
191	502
159,7	516
163,4	528
157,6	533
166,2	536
176,7	537
198,3	524
226,2	536
216,2	587
235,9	597
226,9	581
242,3	564
253,1	558




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=69557&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=69557&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69557&T=0

As an alternative you can also use a 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( Prijsindexcijfers , Werkloosheid )0.1807571758179910.000868789134356618

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Prijsindexcijfers , Werkloosheid ) & 0.180757175817991 & 0.000868789134356618 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69557&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( Prijsindexcijfers , Werkloosheid )[/C][C]0.180757175817991[/C][C]0.000868789134356618[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69557&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69557&T=1

As an alternative you can also use a 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( Prijsindexcijfers , Werkloosheid )0.1807571758179910.000868789134356618



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')