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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 computationFri, 13 Nov 2009 03:21:46 -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/13/t1258107785smvv07qde1e3va8.htm/, Retrieved Mon, 29 Apr 2024 18:08:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56451, Retrieved Mon, 29 Apr 2024 18:08:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact251
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2009-11-09 11:00:40] [1e83ffa964db6f7ea6ccc4e7b5acbbff]
-    D    [Kendall tau Correlation Matrix] [WS 6 Kendall Tau ...] [2009-11-13 10:21:46] [762da55b2e2304daaed24a7cc507d14d] [Current]
-           [Kendall tau Correlation Matrix] [Paper: Kendall Ta...] [2009-12-09 15:38:25] [1d635fe1113b56bab3f378c464a289bc]
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Dataseries X:
84	122.2	83.4	108.8
78	122.6	113.6	128.4
74	122.2	112.9	121.1
75	118.8	104	119.5
79	119	109.9	128.7
79	118.2	99	108.7
82	117.8	106.3	105.5
88	116.8	128.9	119.8
81	114.6	111.1	111.3
69	113.4	102.9	110.6
62	113.8	130	120.1
62	124.2	87	97.5
68	125.8	87.5	107.7
57	125.6	117.6	127.3
67	122.4	103.4	117.2
72	119	110.8	119.8
75	119.4	112.6	116.2
81	118.6	102.5	111
80	118	112.4	112.4
79	116	135.6	130.6
81	114.8	105.1	109.1
83	114.6	127.7	118.8
84	114.6	137	123.9
90	124	91	101.6
84	125.2	90.5	112.8
90	124	122.4	128
92	117.6	123.3	129.6
93	113.2	124.3	125.8
85	111.4	120	119.5
93	112.2	118.1	115.7
94	109.8	119	113.6
94	106.4	142.7	129.7
102	105.2	123.6	112
96	102.2	129.6	116.8
96	99.8	151.6	127
92	111	110.4	112.1
90	113	99.2	114.2
84	108.4	130.5	121.1
86	105.4	136.2	131.6
70	102	129.7	125
67	102.8	128	120.4
60	103.4	121.6	117.7
62	101.6	135.8	117.5
61	98.6	143.8	120.6
54	98	147.5	127.5
50	93.8	136.2	112.3
45	95.6	156.6	124.5
34	105.6	123.3	115.2
37	106.8	104.5	104.7
44	103.6	139.8	130.9
34	101.2	136.5	129.2
37	100.4	112.1	113.5
31	103.2	118.5	125.6
31	105.6	94.4	107.6
28	106.6	102.3	107
31	107.2	111.4	121.6
33	107.4	99.2	110.7
36	104.8	87.8	106.3
39	107.2	115.8	118.6
42	117.4	79.7	104.6




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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=56451&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]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=56451&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56451&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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Consvert , werkl )0.1221831832764510.171911733314615
tau( Consvert , investg )0.09350313833040270.295197131931537
tau( Consvert , consg )0.08096003440803160.364742342960768
tau( werkl , investg )-0.4120151485948753.52046941417667e-06
tau( werkl , consg )-0.1365827383925240.124184350656887
tau( investg , consg )0.5523486134691574.79664752361941e-10

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Consvert , werkl ) & 0.122183183276451 & 0.171911733314615 \tabularnewline
tau( Consvert , investg ) & 0.0935031383304027 & 0.295197131931537 \tabularnewline
tau( Consvert , consg
 ) & 0.0809600344080316 & 0.364742342960768 \tabularnewline
tau( werkl , investg ) & -0.412015148594875 & 3.52046941417667e-06 \tabularnewline
tau( werkl , consg
 ) & -0.136582738392524 & 0.124184350656887 \tabularnewline
tau( investg , consg
 ) & 0.552348613469157 & 4.79664752361941e-10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56451&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( Consvert , werkl )[/C][C]0.122183183276451[/C][C]0.171911733314615[/C][/ROW]
[ROW][C]tau( Consvert , investg )[/C][C]0.0935031383304027[/C][C]0.295197131931537[/C][/ROW]
[ROW][C]tau( Consvert , consg
 )[/C][C]0.0809600344080316[/C][C]0.364742342960768[/C][/ROW]
[ROW][C]tau( werkl , investg )[/C][C]-0.412015148594875[/C][C]3.52046941417667e-06[/C][/ROW]
[ROW][C]tau( werkl , consg
 )[/C][C]-0.136582738392524[/C][C]0.124184350656887[/C][/ROW]
[ROW][C]tau( investg , consg
 )[/C][C]0.552348613469157[/C][C]4.79664752361941e-10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56451&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56451&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( Consvert , werkl )0.1221831832764510.171911733314615
tau( Consvert , investg )0.09350313833040270.295197131931537
tau( Consvert , consg )0.08096003440803160.364742342960768
tau( werkl , investg )-0.4120151485948753.52046941417667e-06
tau( werkl , consg )-0.1365827383925240.124184350656887
tau( investg , consg )0.5523486134691574.79664752361941e-10



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')