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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 computationThu, 18 Dec 2008 02:55:18 -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/2008/Dec/18/t1229594190aicpk6ai8u6rjsd.htm/, Retrieved Sun, 12 May 2024 11:45:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34618, Retrieved Sun, 12 May 2024 11:45:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Kendall tau Correlation Matrix] [Testing Hypothese...] [2008-11-02 10:22:03] [33f4701c7363e8b81858dafbf0350eed]
F       [Kendall tau Correlation Matrix] [T1] [2008-11-03 19:12:49] [b187fac1a1b0cb3920f54366df47fea3]
-   P     [Kendall tau Correlation Matrix] [Q1 kendall tau co...] [2008-11-03 23:38:32] [b641c14ac36cb6fee377f3b099dcac19]
-   PD        [Kendall tau Correlation Matrix] [Kendall Tau Alle ...] [2008-12-18 09:55:18] [96c9291ce335a5c9abba7b920811c2df] [Current]
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Dataseries X:
16	31	41	12
19	35	35	12
21	38	34	12
19	36	36	12
18	33	39	12
16	29	40	11
22	37	30	12
18	28	33	11
20	32	30	12
20	31	32	11
16	24	41	13
15	25	40	10
16	27	41	11
16	27	40	12
19	29	39	12
20	33	34	11
17	26	34	9
11	16	46	8
11	15	45	9
11	13	44	9
12	18	40	8
8	8	39	6
14	21	37	10
13	21	39	10
17	25	35	11
21	28	26	12
20	27	26	12
17	24	33	11
18	24	27	11
16	24	30	9
20	28	26	11
20	31	27	11
20	26	18	11
20	28	19	9
24	34	13	12
23	33	14	12
14	24	41	10
21	30	21	12
23	31	16	11
21	28	17	10
24	35	9	11
24	33	14	11
23	34	14	10
21	31	16	9
20	21	11	8
20	21	10	9
21	22	6	8
14	9	9	5
18	15	5	6
16	13	7	4
19	17	2	7
19	19	0	4
15	14	8	4
13	8	13	4
11	3	11	0
9	0	19	2
11	10	23	4
13	12	23	6
5	9	43	1
0	9	59	2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34618&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34618&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( IVHC , AES )0.6255334058974351.48139278621784e-11
tau( IVHC , WIN )-0.4027296263667931.27572277440711e-05
tau( IVHC , FSG )0.4331240067295347.43068597830465e-06
tau( AES , WIN )-0.01451396481560190.872979522060415
tau( AES , FSG )0.6856133532932145.56221735337203e-13
tau( WIN , FSG )0.1903635421509530.0443534824355025

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( IVHC , AES ) & 0.625533405897435 & 1.48139278621784e-11 \tabularnewline
tau( IVHC , WIN ) & -0.402729626366793 & 1.27572277440711e-05 \tabularnewline
tau( IVHC , FSG ) & 0.433124006729534 & 7.43068597830465e-06 \tabularnewline
tau( AES , WIN ) & -0.0145139648156019 & 0.872979522060415 \tabularnewline
tau( AES , FSG ) & 0.685613353293214 & 5.56221735337203e-13 \tabularnewline
tau( WIN , FSG ) & 0.190363542150953 & 0.0443534824355025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34618&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( IVHC , AES )[/C][C]0.625533405897435[/C][C]1.48139278621784e-11[/C][/ROW]
[ROW][C]tau( IVHC , WIN )[/C][C]-0.402729626366793[/C][C]1.27572277440711e-05[/C][/ROW]
[ROW][C]tau( IVHC , FSG )[/C][C]0.433124006729534[/C][C]7.43068597830465e-06[/C][/ROW]
[ROW][C]tau( AES , WIN )[/C][C]-0.0145139648156019[/C][C]0.872979522060415[/C][/ROW]
[ROW][C]tau( AES , FSG )[/C][C]0.685613353293214[/C][C]5.56221735337203e-13[/C][/ROW]
[ROW][C]tau( WIN , FSG )[/C][C]0.190363542150953[/C][C]0.0443534824355025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34618&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( IVHC , AES )0.6255334058974351.48139278621784e-11
tau( IVHC , WIN )-0.4027296263667931.27572277440711e-05
tau( IVHC , FSG )0.4331240067295347.43068597830465e-06
tau( AES , WIN )-0.01451396481560190.872979522060415
tau( AES , FSG )0.6856133532932145.56221735337203e-13
tau( WIN , FSG )0.1903635421509530.0443534824355025



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')