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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 11 Nov 2009 04:17:22 -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/11/t1257938351uso7y3zv6172s54.htm/, Retrieved Sat, 27 Apr 2024 03:02:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55492, Retrieved Sat, 27 Apr 2024 03:02:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
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]
-   PD    [Kendall tau Correlation Matrix] [] [2009-11-11 11:17:22] [faa1ded5041cd5a0e2be04844f08502a] [Current]
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Dataseries X:
24	33	49	24
23	34	48	22
24	36	49	25
24	36	48	24
27	38	47	29
28	42	42	26
25	35	42	26
19	25	54	21
19	24	53	23
19	22	52	22
20	27	48	21
16	17	47	16
22	30	45	19
21	30	47	16
25	34	43	25
29	37	34	27
28	36	34	23
25	33	41	22
26	33	35	23
24	33	38	20
28	37	34	24
28	40	35	23
28	35	26	20
28	37	27	21
32	43	21	22
31	42	22	17
22	33	49	21
29	39	29	19
31	40	24	23
29	37	25	22
32	44	17	15
32	42	22	23
31	43	22	21
29	40	24	18
28	30	19	18
28	30	18	18
29	31	14	18
22	18	17	10
26	24	13	13
24	22	15	10
27	26	10	9
27	28	8	9
23	23	16	6
21	17	21	11
19	12	19	9
17	9	27	10
19	19	31	9
21	21	31	16
13	18	51	10
8	18	67	7
5	15	75	7
10	24	78	14
6	18	83	11
6	19	81	10
8	30	81	6
11	33	80	8
12	35	79	13
13	36	75	12
19	47	67	15
19	46	67	16
18	43	67	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55492&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55492&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55492&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'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( I.C. , E.S )0.5071491998003812.69394935248357e-08
tau( I.C. , W.B )-0.5830666446503651.18300816468937e-10
tau( I.C. , S. )0.3897992091056592.08472447567054e-05
tau( E.S , W.B )-0.07906101773942440.379056786202645
tau( E.S , S. )0.3819311404530482.6766396191924e-05
tau( W.B , S. )0.01239549932695400.890768401315734

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( I.C. , E.S ) & 0.507149199800381 & 2.69394935248357e-08 \tabularnewline
tau( I.C. , W.B ) & -0.583066644650365 & 1.18300816468937e-10 \tabularnewline
tau( I.C. , S. ) & 0.389799209105659 & 2.08472447567054e-05 \tabularnewline
tau( E.S , W.B ) & -0.0790610177394244 & 0.379056786202645 \tabularnewline
tau( E.S , S. ) & 0.381931140453048 & 2.6766396191924e-05 \tabularnewline
tau( W.B , S. ) & 0.0123954993269540 & 0.890768401315734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55492&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( I.C. , E.S )[/C][C]0.507149199800381[/C][C]2.69394935248357e-08[/C][/ROW]
[ROW][C]tau( I.C. , W.B )[/C][C]-0.583066644650365[/C][C]1.18300816468937e-10[/C][/ROW]
[ROW][C]tau( I.C. , S. )[/C][C]0.389799209105659[/C][C]2.08472447567054e-05[/C][/ROW]
[ROW][C]tau( E.S , W.B )[/C][C]-0.0790610177394244[/C][C]0.379056786202645[/C][/ROW]
[ROW][C]tau( E.S , S. )[/C][C]0.381931140453048[/C][C]2.6766396191924e-05[/C][/ROW]
[ROW][C]tau( W.B , S. )[/C][C]0.0123954993269540[/C][C]0.890768401315734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55492&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55492&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( I.C. , E.S )0.5071491998003812.69394935248357e-08
tau( I.C. , W.B )-0.5830666446503651.18300816468937e-10
tau( I.C. , S. )0.3897992091056592.08472447567054e-05
tau( E.S , W.B )-0.07906101773942440.379056786202645
tau( E.S , S. )0.3819311404530482.6766396191924e-05
tau( W.B , S. )0.01239549932695400.890768401315734



Parameters (Session):
par1 = red ; par2 = blue ; par3 = TRUE ; par4 = indicator van het consumentenvertrouwen ; par5 = spaarvermogen van de gezinnen ;
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')