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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 13 Dec 2007 06:40:20 -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/13/t11975525342fjzntqroek3hv1.htm/, Retrieved Sun, 05 May 2024 11:05:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3522, Retrieved Sun, 05 May 2024 11:05:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [paper w3] [2007-12-13 13:40:20] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
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Dataseries X:
-1	-175	2,7	2426
-4	353	3,1	756
0	78	-1,1	-3216
-1	-17	9	14551
-6	1506	-2,4	-5356
9	-1142	-7,1	-2968
-5	282	16,7	6477
1	793	-15,3	-16735
0	-891	1	3184
5	624	-1,7	2219
0	-447	2,8	-3394
5	-49	4,2	5062
-2	-325	2,7	-2111
-4	707	-8,7	-2658
6	-565	11,5	2361
5	319	-14,1	-12020
7	245	0,4	-193
0	-483	0,1	5027
8	118	-3,3	1996
-2	-348	3,7	6141
4	58	0,5	3292
-7	454	-4,5	-2454
23	-605	-4,1	-2847
6	127	-1,2	3073
-11	-382	-3,9	-1617
4	-154	-1,1	380
-2	445	0,8	-2601
6	108	2,1	8474
7	907	-0,7	-4129
-4	-555	10	4015
1	-115	-8	-11925
6	-674	-1,5	-1359
8	447	8,9	1190
-18	-220	-6,9	-1460
-5	-72	8	8003
6	549	-4,4	-5217
22	-1030	8,3	-1496
3	103	-1,9	2940
2	-71	-4,9	-2714
-1	1085	2	-3386
-2	-562	-3,2	4287
8	559	-3,2	-3545
-2	-500	-3,8	4587
5	334	7,1	6008
1	376	-4,4	-1903
3	-403	-1,3	2430
0	156	3,5	-45
-9	-470	4,9	2000
-8	-309	-13,7	-1796
5	443	10,8	5292
0	-122	-4,7	-11160
1	-167	1,8	9299
1	716	10,6	6690
-10	262	-6,1	-3066
1	-665	4	-7882
0	646	3,1	1593
-11	-349	-5,9	-7546
6	-85	6,6	4877
4	238	-0,8	-1512
11	-209	-0,6	-2835
1	-497	6,6	6874
-7	1164	0,7	-4753
-11	407	-7,8	5339
-1	-906	1,8	-8492
1	1342	-4,2	-4437
0	-1313	8,2	3785
1	67	-7,1	7430
-4	1556	3,7	3422
1	-1638	-5	-4424
-9	-163	5,6	2217
-3	379	-1,8	-1680
-14	496	-11,3	-3889
0	-638	11,8	4065
1	311	-2,8	-6101
0	-165	9,5	11232
-1	287	-1,4	2251
-5	790	6,2	2661
5	-290	-14,8	-9016
5	825	16,9	6394
-2	-163	-3	-12344
-5	-1429	-6,3	5901
-2	785	-1,2	-3083
-5	261	-4,7	-326
-16	-454	16,3	5086
-5	-267	-11,9	-5450
-11	1232	-3,3	1054
8	0	0,2	-2664
-9	-725	-3,3	-3208
-7	1038	-3,6	817
0	-1135	4,3	1350
-14	442	-1,2	-206
-12	232	-2,5	7529
9	-936	10,4	499
	98		
	271		
	318
	-1154
	465
	130
	-511
	744
	-735
	-177
	1000
	-848




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=3522&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=3522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3522&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 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( werkloosheid , bouwvergunningen )-0.06587897564745730.331097004207031
tau( werkloosheid , omzetcijfer )0.0409163492481290.546752700725508
tau( werkloosheid , personenwagens )-0.03745346735637930.580539864734594
tau( bouwvergunningen , omzetcijfer )-0.07352276625649560.267974816681097
tau( bouwvergunningen , personenwagens )-0.0902669483662330.173073882823108
tau( omzetcijfer , personenwagens )0.3982730490586631.95925120571872e-09

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheid , bouwvergunningen ) & -0.0658789756474573 & 0.331097004207031 \tabularnewline
tau( werkloosheid , omzetcijfer ) & 0.040916349248129 & 0.546752700725508 \tabularnewline
tau( werkloosheid , personenwagens ) & -0.0374534673563793 & 0.580539864734594 \tabularnewline
tau( bouwvergunningen , omzetcijfer ) & -0.0735227662564956 & 0.267974816681097 \tabularnewline
tau( bouwvergunningen , personenwagens ) & -0.090266948366233 & 0.173073882823108 \tabularnewline
tau( omzetcijfer , personenwagens ) & 0.398273049058663 & 1.95925120571872e-09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3522&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( werkloosheid , bouwvergunningen )[/C][C]-0.0658789756474573[/C][C]0.331097004207031[/C][/ROW]
[ROW][C]tau( werkloosheid , omzetcijfer )[/C][C]0.040916349248129[/C][C]0.546752700725508[/C][/ROW]
[ROW][C]tau( werkloosheid , personenwagens )[/C][C]-0.0374534673563793[/C][C]0.580539864734594[/C][/ROW]
[ROW][C]tau( bouwvergunningen , omzetcijfer )[/C][C]-0.0735227662564956[/C][C]0.267974816681097[/C][/ROW]
[ROW][C]tau( bouwvergunningen , personenwagens )[/C][C]-0.090266948366233[/C][C]0.173073882823108[/C][/ROW]
[ROW][C]tau( omzetcijfer , personenwagens )[/C][C]0.398273049058663[/C][C]1.95925120571872e-09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3522&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( werkloosheid , bouwvergunningen )-0.06587897564745730.331097004207031
tau( werkloosheid , omzetcijfer )0.0409163492481290.546752700725508
tau( werkloosheid , personenwagens )-0.03745346735637930.580539864734594
tau( bouwvergunningen , omzetcijfer )-0.07352276625649560.267974816681097
tau( bouwvergunningen , personenwagens )-0.0902669483662330.173073882823108
tau( omzetcijfer , personenwagens )0.3982730490586631.95925120571872e-09



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')