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Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 09 Dec 2010 16:41:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/09/t1291912883qev6do1rni0qqm3.htm/, Retrieved Sun, 28 Apr 2024 09:09:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107265, Retrieved Sun, 28 Apr 2024 09:09:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDMA
Estimated Impact289
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD    [Kendall tau Correlation Matrix] [WS10 PCM DMA] [2010-12-09 16:41:09] [f92ba2b01007f169e2985fcc57236bd0] [Current]
- R  D      [Kendall tau Correlation Matrix] [Workshop 10, Pear...] [2010-12-10 12:51:04] [3635fb7041b1998c5a1332cf9de22bce]
-    D        [Kendall tau Correlation Matrix] [WS10Pearson] [2010-12-14 10:36:05] [3fb95cad3bbcce10c72dbbcc5bec5662]
-    D        [Kendall tau Correlation Matrix] [WS10Pearson2] [2010-12-14 10:44:23] [3fb95cad3bbcce10c72dbbcc5bec5662]
- R  D        [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-18 17:31:07] [8081b8996d5947580de3eb171e82db4f]
-   PD          [Kendall tau Correlation Matrix] [Paper Kendall Cor...] [2010-12-18 17:54:50] [8081b8996d5947580de3eb171e82db4f]
-                 [Kendall tau Correlation Matrix] [Kendall Correlation] [2010-12-22 08:19:28] [8081b8996d5947580de3eb171e82db4f]
-                 [Kendall tau Correlation Matrix] [Kendall Correlation] [2010-12-22 08:21:07] [8081b8996d5947580de3eb171e82db4f]
-                 [Kendall tau Correlation Matrix] [Paper Kendall Cor...] [2010-12-22 08:43:19] [d946de7cca328fbcf207448a112523ab]
-  M              [Kendall tau Correlation Matrix] [workshop 10 kenda...] [2011-12-10 13:33:37] [aa7c7608f809e956d7797134ec926e04]
- R                 [Kendall tau Correlation Matrix] [] [2012-12-11 12:02:24] [3ba5358ad212dca7c498c7fc6d6ebde5]
- RM D            [Kendall tau Correlation Matrix] [] [2011-12-19 18:39:20] [74be16979710d4c4e7c6647856088456]
- RM D            [Kendall tau Correlation Matrix] [] [2011-12-23 10:09:00] [74be16979710d4c4e7c6647856088456]
-    D          [Kendall tau Correlation Matrix] [Pearson Correlation ] [2010-12-22 08:17:18] [8081b8996d5947580de3eb171e82db4f]
-               [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-22 08:27:53] [d946de7cca328fbcf207448a112523ab]
- RM D          [Kendall tau Correlation Matrix] [] [2011-12-22 18:20:30] [74be16979710d4c4e7c6647856088456]
- R  D        [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-18 17:39:49] [3635fb7041b1998c5a1332cf9de22bce]
-   P           [Kendall tau Correlation Matrix] [Paper Kendall Cor...] [2010-12-18 17:46:34] [3635fb7041b1998c5a1332cf9de22bce]
- RM          [Kendall tau Correlation Matrix] [WS10Pearson Corre...] [2011-12-08 21:08:39] [74be16979710d4c4e7c6647856088456]
- RM          [Kendall tau Correlation Matrix] [] [2011-12-09 12:04:17] [74be16979710d4c4e7c6647856088456]
- RM          [Kendall tau Correlation Matrix] [WS10 - Corr tusse...] [2011-12-09 15:35:00] [ea9976aa04c7322b215e949114660791]
- RM          [Kendall tau Correlation Matrix] [] [2011-12-10 13:03:26] [c505444e07acba7694d29053ca5d114e]
- R  D          [Kendall tau Correlation Matrix] [] [2011-12-18 13:52:08] [c505444e07acba7694d29053ca5d114e]
- R  D            [Kendall tau Correlation Matrix] [] [2011-12-20 08:55:55] [c505444e07acba7694d29053ca5d114e]
- R PD            [Kendall tau Correlation Matrix] [] [2011-12-20 09:19:08] [c505444e07acba7694d29053ca5d114e]
- RMP         [Kendall tau Correlation Matrix] [] [2011-12-10 13:07:14] [c505444e07acba7694d29053ca5d114e]
- R  D          [Kendall tau Correlation Matrix] [] [2011-12-18 13:55:51] [c505444e07acba7694d29053ca5d114e]
- RMP         [Multiple Regression] [] [2011-12-10 13:09:29] [c505444e07acba7694d29053ca5d114e]
- RM          [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2011-12-11 12:08:41] [74be16979710d4c4e7c6647856088456]
- RM          [Kendall tau Correlation Matrix] [] [2011-12-12 15:53:45] [74be16979710d4c4e7c6647856088456]
- RM          [Kendall tau Correlation Matrix] [] [2011-12-12 18:51:31] [74be16979710d4c4e7c6647856088456]
- RMPD        [Pearson Correlation] [] [2011-12-19 17:43:25] [58157dc6b621eed9dc2a8f45e356f037]
- RM D        [Kendall tau Correlation Matrix] [] [2011-12-19 17:47:40] [58157dc6b621eed9dc2a8f45e356f037]
-    D      [Kendall tau Correlation Matrix] [] [2010-12-13 09:50:30] [1251ac2db27b84d4a3ba43449388906b]
- R  D        [Kendall tau Correlation Matrix] [workshop 10: PCM] [2010-12-13 20:13:38] [814f53995537cd15c528d8efbf1cf544]
- R  D        [Kendall tau Correlation Matrix] [workshop 10: PCM] [2010-12-14 08:19:17] [814f53995537cd15c528d8efbf1cf544]
-   PD          [Kendall tau Correlation Matrix] [workshop 10: Kend...] [2010-12-14 08:26:44] [814f53995537cd15c528d8efbf1cf544]
- RMPD          [Kendall tau Rank Correlation] [WS10 - Review] [2010-12-15 17:15:55] [4a7069087cf9e0eda253aeed7d8c30d6]
- RMPD          [Kendall tau Correlation Matrix] [ws10-2] [2011-12-13 10:11:57] [f7a862281046b7153543b12c78921b36]
-    D      [Kendall tau Correlation Matrix] [] [2010-12-14 12:24:24] [4cb9d9226ff0df1b8fdf89cde6bcc828]
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Dataseries X:
3030,29	25,64
2803,47	27,97
2767,63	27,62
2882,6	23,31
2863,36	29,07
2897,06	29,58
3012,61	28,63
3142,95	29,92
3032,93	32,68
3045,78	31,54
3110,52	32,43
3013,24	26,54
2987,1	25,85
2995,55	27,6
2833,18	25,71
2848,96	25,38
2794,83	28,57
2845,26	27,64
2915,03	25,36
2892,63	25,9
2604,42	26,29
2641,65	21,74
2659,81	19,2
2638,53	19,32
2720,25	19,82
2745,88	20,36
2735,7	24,31
2811,7	25,97
2799,43	25,61
2555,28	24,67
2304,98	25,59
2214,95	26,09
2065,81	28,37
1940,49	27,34
2042	24,46
1995,37	27,46
1946,81	30,23
1765,9	32,33
1635,25	29,87
1833,42	24,87
1910,43	25,48
1959,67	27,28
1969,6	28,24
2061,41	29,58
2093,48	26,95
2120,88	29,08
2174,56	28,76
2196,72	29,59
2350,44	30,7
2440,25	30,52
2408,64	32,67
2472,81	33,19
2407,6	37,13
2454,62	35,54
2448,05	37,75
2497,84	41,84
2645,64	42,94
2756,76	49,14
2849,27	44,61
2921,44	40,22
2981,85	44,23
3080,58	45,85
3106,22	53,38
3119,31	53,26
3061,26	51,8
3097,31	55,3
3161,69	57,81
3257,16	63,96
3277,01	63,77
3295,32	59,15
3363,99	56,12
3494,17	57,42
3667,03	63,52
3813,06	61,71
3917,96	63,01
3895,51	68,18
3801,06	72,03
3570,12	69,75
3701,61	74,41
3862,27	74,33
3970,1	64,24
4138,52	60,03
4199,75	59,44
4290,89	62,5
4443,91	55,04
4502,64	58,34
4356,98	61,92
4591,27	67,65
4696,96	67,68
4621,4	70,3
4562,84	75,26
4202,52	71,44
4296,49	76,36
4435,23	81,71
4105,18	92,6
4116,68	90,6
3844,49	92,23
3720,98	94,09
3674,4	102,79
3857,62	109,65
3801,06	124,05
3504,37	132,69
3032,6	135,81
3047,03	116,07
2962,34	101,42
2197,82	75,73
2014,45	55,48
1862,83	43,8
1905,41	45,29




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107265&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]3 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=107265&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107265&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlations for all pairs of data series (method=pearson)
AandelenkoersOlieprijs
Aandelenkoers10.616
Olieprijs0.6161

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Aandelenkoers & Olieprijs \tabularnewline
Aandelenkoers & 1 & 0.616 \tabularnewline
Olieprijs & 0.616 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107265&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Aandelenkoers[/C][C]Olieprijs[/C][/ROW]
[ROW][C]Aandelenkoers[/C][C]1[/C][C]0.616[/C][/ROW]
[ROW][C]Olieprijs[/C][C]0.616[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107265&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107265&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
AandelenkoersOlieprijs
Aandelenkoers10.616
Olieprijs0.6161







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Aandelenkoers;Olieprijs0.61580.67370.4595
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Aandelenkoers;Olieprijs & 0.6158 & 0.6737 & 0.4595 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107265&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]Aandelenkoers;Olieprijs[/C][C]0.6158[/C][C]0.6737[/C][C]0.4595[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107265&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107265&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Aandelenkoers;Olieprijs0.61580.67370.4595
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')