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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 computationTue, 10 Nov 2009 07:35:16 -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/10/t1257863858pg8of51x16tuilw.htm/, Retrieved Mon, 06 May 2024 05:38:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55257, Retrieved Mon, 06 May 2024 05:38:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [Kendall tau corre...] [2009-11-10 14:35:16] [cf272a759dc2b193d9a85354803ede7b] [Current]
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Dataseries X:
98.71	103.5	97.9	108.5
98.54	103.2	96.6	112.3
98.2	103.1	96.2	116.6
96.92	102.9	95.8	115.5
99.06	102.9	96	120.1
99.65	102.9	96.2	132.9
99.82	103.2	96.5	128.1
99.99	103	95.4	129.3
100.33	103.7	96.2	132.5
99.31	104.2	96.8	131
101.1	104.7	97	124.9
101.1	104.8	97.1	120.8
100.93	104.9	96.6	122
100.85	104.8	95.8	122.1
100.93	104.6	96.2	127.4
99.6	104.6	96	135.2
101.88	105.2	95.9	137.3
101.81	105.2	95.8	135
102.38	105.4	96	136
102.74	106.1	96.2	138.4
102.82	107.6	96.8	134.7
101.72	107.9	96.9	138.4
103.47	107.9	97.2	133.9
102.98	108.8	98.9	133.6
102.68	109.6	98.9	141.2
102.9	109.5	98.8	151.8
103.03	109.4	99	155.4
101.29	109.9	99.6	156.6
103.69	110.7	99.9	161.6
103.68	110	100.1	160.7
104.2	110.4	99.9	156
104.08	110.7	100.5	159.5
104.16	110.9	100.7	168.7
103.05	111.2	101.3	169.9
104.66	111.9	101.3	169.9
104.46	112.7	101.7	185.9
104.95	114.1	103	190.8
105.85	114.3	104.7	195.8
106.23	114.6	104.5	211.9
104.86	115	104.6	227.1
107.44	115.6	104.2	251.3
108.23	115.6	104.5	256.7
108.45	116.2	104.8	251.9
109.39	116	104.7	251.2
110.15	116.2	104.6	270.3
109.13	116.3	104.5	267.2
110.28	116.1	104.7	243
110.17	116.6	104.8	229.9
109.99	116.5	106.2	187.2
109.26	115.7	105.6	178.2
109.11	114.8	104.5	175.2
107.06	114.3	104.2	192.4
109.53	115.2	104.1	187
108.92	115.2	103.3	184
109.24	114.7	103.8	194.1
109.12	113.8	103.3	212.7
109	114.2	103.7	217.5
107.23	114.2	103.5	200.5
109.49	114.1	103.7	205.9
109.04	113.8	103.4	196.5
109.02	113.9	102.8	206.3




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=55257&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=55257&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55257&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( HICP , AFPBI )0.8193360919869230
tau( HICP , AFPBU )0.7237396557977212.22044604925031e-16
tau( HICP , PIDT )0.7242888402625822.22044604925031e-16
tau( AFPBI , AFPBU )0.8318208930055910
tau( AFPBI , PIDT )0.7721089445935750
tau( AFPBU , PIDT )0.6955850238788174.21884749357559e-15

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( HICP , AFPBI ) & 0.819336091986923 & 0 \tabularnewline
tau( HICP , AFPBU ) & 0.723739655797721 & 2.22044604925031e-16 \tabularnewline
tau( HICP , PIDT ) & 0.724288840262582 & 2.22044604925031e-16 \tabularnewline
tau( AFPBI , AFPBU ) & 0.831820893005591 & 0 \tabularnewline
tau( AFPBI , PIDT ) & 0.772108944593575 & 0 \tabularnewline
tau( AFPBU , PIDT ) & 0.695585023878817 & 4.21884749357559e-15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55257&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( HICP , AFPBI )[/C][C]0.819336091986923[/C][C]0[/C][/ROW]
[ROW][C]tau( HICP , AFPBU )[/C][C]0.723739655797721[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( HICP , PIDT )[/C][C]0.724288840262582[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( AFPBI , AFPBU )[/C][C]0.831820893005591[/C][C]0[/C][/ROW]
[ROW][C]tau( AFPBI , PIDT )[/C][C]0.772108944593575[/C][C]0[/C][/ROW]
[ROW][C]tau( AFPBU , PIDT )[/C][C]0.695585023878817[/C][C]4.21884749357559e-15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55257&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55257&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( HICP , AFPBI )0.8193360919869230
tau( HICP , AFPBU )0.7237396557977212.22044604925031e-16
tau( HICP , PIDT )0.7242888402625822.22044604925031e-16
tau( AFPBI , AFPBU )0.8318208930055910
tau( AFPBI , PIDT )0.7721089445935750
tau( AFPBU , PIDT )0.6955850238788174.21884749357559e-15



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')