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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 computationMon, 09 Nov 2009 07:05:52 -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/09/t125777577389c7esm8p8frqis.htm/, Retrieved Thu, 28 Mar 2024 13:53:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54827, Retrieved Thu, 28 Mar 2024 13:53:32 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
-    D  [Notched Boxplots] [ws 6 1] [2009-11-04 11:54:28] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMPD    [Univariate Explorative Data Analysis] [ws 6 kla] [2009-11-04 11:57:24] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMPD        [Kendall tau Correlation Matrix] [WS6_kendall_tau] [2009-11-09 14:05:52] [7a6d96edf94be87996de99db5f42363b] [Current]
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Dataseries X:
102,0	70,5	108,0	100.0
104,7	77,7	108,0	100.2
86,0	56,0	108,0	113.7
92,1	56,8	108,0	115.5
106,9	69,2	108,0	115.0
112,6	71,3	108,0	114.0
101,7	79,4	108,0	112.0
92,0	80,8	108,0	112.6
97,4	72,2	108,0	114.2
97,0	69,8	108,0	113.7
105,4	73,0	108,0	112.1
102,7	82,0	108,0	112.0
98,1	76,3	108,0	110.1
104,5	65,3	108,0	111.5
87,4	51,4	108,0	125.2
89,9	60,5	108,0	127.5
109,8	83,0	108,0	127.1
111,7	89,8	108,0	124.4
98,6	78,6	108,0	120.4
96,9	85,8	108,2	122.0
95,1	69,7	112,3	123.7
97,0	69,4	111,3	123.3
112,7	76,6	111,3	122.1
102,9	76,4	115,3	119.5
97,4	77,1	117,2	118.0
111,4	79,0	118,3	119.4
87,4	67,5	118,3	130.5
96,8	60,0	118,3	134.3
114,1	71,7	119,0	134.7
110,3	79,3	120,6	134.4
103,9	66,0	122,6	130.7
101,6	78,1	122,6	130.9
94,6	57,1	127,4	129.9
95,9	49,6	125,9	129.6
104,7	64,0	121,5	128.5
102,8	57,8	118,8	126.0
98,1	61,6	121,6	124.8
113,9	82,4	122,3	125.1
80,9	61,8	122,7	136.5
95,7	62,1	120,8	138.3
113,2	79,5	120,1	138.2
105,9	65,4	120,1	134.6
108,8	72,5	120,1	130.9
102,3	84,6	120,1	131.3
99,0	62,5	128,4	130.5
100,7	65,1	129,8	129.8
115,5	79,0	129,8	127.5
100,7	65,9	128,6	126.3
109,9	66,1	128,6	126.0
114,6	83,3	133,7	126.0
85,4	40,6	130,0	136.3
100,5	58,6	125,9	137.6
114,8	67,3	129,4	136.3
116,5	68,2	129,4	129.2
112,9	59,5	130,6	124.4
102,0	65,7	130,6	122.6
106,0	53,4	130,6	123.3
105,3	39,5	130,8	120.7
118,8	51,7	129,7	116.9
106,1	42,3	125,8	115.7
109,3	45,9	126,0	112.4
117,2	54,7	125,6	109.7
92,5	41,8	125,4	122.1
104,2	48,6	124,7	124.2
112,5	57,1	126,9	119.1
122,4	76,5	128,1	115.9
113,3	62,7	131,4	112.1
100,0	53,9	134,8	113.1
110,7	53,5	141,8	113.7
112,8	47,5	148,1	111.6
109,8	49,3	149,8	108.3
117,3	59,9	149,8	107.8
109,1	49,9	147,3	103.2
115,9	54,5	150,9	105.0
96,0	54,2	153,0	116.2
99,8	46,7	152,7	117.3
116,8	61,2	152,7	113.9
115,7	51,8	152,7	111.3
99,4	37,4	152,7	110.4
94,3	41,1	153,2	113.5
91,0	30,0	145,1	116.2
93,2	34,8	134,0	117.1
103,1	45,9	127,2	117.9
94,1	45,1	123,0	118.0
91,8	42,6	124,5	115.1
102,7	49,0	123,7	117.9
82,6	29,6	123,8	129.0
89,1	46,0	123,6	131.2




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=54827&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=54827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54827&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( Itot , Iaudio )0.1983255451353610.00629290957484718
tau( Itot , Price )0.1769447434633250.0169204494920727
tau( Itot , Iwerk )-0.1129899855589300.120268013935042
tau( Iaudio , Price )-0.3978803683753587.67202442915818e-08
tau( Iaudio , Iwerk )0.1081861943812270.136564732919264
tau( Price , Iwerk )-0.06075374183608520.412700237498434

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Itot , Iaudio ) & 0.198325545135361 & 0.00629290957484718 \tabularnewline
tau( Itot , Price ) & 0.176944743463325 & 0.0169204494920727 \tabularnewline
tau( Itot , Iwerk ) & -0.112989985558930 & 0.120268013935042 \tabularnewline
tau( Iaudio , Price ) & -0.397880368375358 & 7.67202442915818e-08 \tabularnewline
tau( Iaudio , Iwerk ) & 0.108186194381227 & 0.136564732919264 \tabularnewline
tau( Price , Iwerk ) & -0.0607537418360852 & 0.412700237498434 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54827&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( Itot , Iaudio )[/C][C]0.198325545135361[/C][C]0.00629290957484718[/C][/ROW]
[ROW][C]tau( Itot , Price )[/C][C]0.176944743463325[/C][C]0.0169204494920727[/C][/ROW]
[ROW][C]tau( Itot , Iwerk )[/C][C]-0.112989985558930[/C][C]0.120268013935042[/C][/ROW]
[ROW][C]tau( Iaudio , Price )[/C][C]-0.397880368375358[/C][C]7.67202442915818e-08[/C][/ROW]
[ROW][C]tau( Iaudio , Iwerk )[/C][C]0.108186194381227[/C][C]0.136564732919264[/C][/ROW]
[ROW][C]tau( Price , Iwerk )[/C][C]-0.0607537418360852[/C][C]0.412700237498434[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54827&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( Itot , Iaudio )0.1983255451353610.00629290957484718
tau( Itot , Price )0.1769447434633250.0169204494920727
tau( Itot , Iwerk )-0.1129899855589300.120268013935042
tau( Iaudio , Price )-0.3978803683753587.67202442915818e-08
tau( Iaudio , Iwerk )0.1081861943812270.136564732919264
tau( Price , Iwerk )-0.06075374183608520.412700237498434



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')