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Description of Statistical Computation

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 computationFri, 12 Dec 2008 06:05:56 -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/12/t1229087233ctiik5s25yfk64g.htm/, Retrieved Sun, 19 May 2024 04:29:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32666, Retrieved Sun, 19 May 2024 04:29:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall tau corre...] [2008-12-12 13:05:56] [02e7fb326979b65614900650d62c19a6] [Current]
- RMPD    [Mean Plot] [H4: Mean plot The...] [2008-12-12 14:24:28] [1e1d8320a8a1170c475bf6e4ce119de6]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13807,9	3258,1	2236	156,3
14101,7	3140,1	2084,9	151,5
16010,3	3627,4	2409,5	159,1
14633,1	3279,4	2199,3	166,9
14478,5	3204	2203,5	160,5
15327,3	3515,6	2254,1	162,8
14179,5	3146,6	1975,8	178,9
11398,2	2271,7	1742,2	148,5
16111,5	3627,9	2520,6	184,1
15887,4	3553,4	2438,1	197
14529,3	3018,3	2126,3	186,8
13923,1	3355,4	2267,5	139,2
13960,2	3242	2201,1	162,7
14807,8	3311,1	2128,5	187,5
17511,5	4125,2	2596	235,8
15845,9	3423	2458,2	219,4
14594,2	3120,3	2210,5	212,4
17252,2	3863	2621,2	220,2
14832,8	3240,8	2231,4	197,5
13132,1	2837,4	2103,6	185,6
17665,9	3945	2685,8	232,4
16913	3684,1	2539,3	223,8
17318,8	3659,6	2462,4	219,4
16224,2	3769,6	2693,3	191,4
15469,6	3592,7	2307,7	210,4
16557,5	3754	2385,9	212,6
19414,8	4507,8	2737,6	274,4
17335	3853,2	2653,9	256
16525,2	3817,2	2545,4	227,6
18160,4	3958,4	2848,8	261,7
15553,8	3428,9	2359,5	237
15262,2	3125,7	2488,3	234,9
18581	3977	2861,1	310,6
17564,1	3983,3	2717,9	274,2
18948,6	4299,6	2844	288,1
17187,8	4306,9	2749	242,5
17564,8	4259,5	2652,9	271,7
17668,4	3986	2660,2	282,2
20811,7	4755,6	3187,1	317,4
17257,8	3925,6	2774,1	280,3
18984,2	4206,5	3158,2	322,6
20532,6	4323,4	3244,6	328,2
17082,3	3816,1	2665,5	280,7
16894,9	3410,7	2820,8	288,8
20274,9	4227,4	2983,4	347,9
20078,6	4296,9	3077,4	360,1
19900,9	4351,7	3024,8	348
17012,2	3800	2731,8	275,7
19642,9	4277	3046,2	332,6
19024	4100,2	2834,8	340,8
21691	4672,5	3292,8	390,5
18835,9	4189,9	2946,1	351,2
19873,4	4231,9	3196,9	377,4
21468,2	4654,9	3284,2	413,5
19406,8	4298,5	3003	366,9
18385,3	3635,9	2979	364,8
20739,3	4505,1	3137,4	388
22268,3	4891,9	3630,2	429,8
21569	4894,2	3270,7	423,6
17514,8	4093,2	2942,3	326,4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32666&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32666&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Total_export_EU , Total_export_France )0.8101694915254240
tau( Total_export_EU , Total_export_Netherlands )0.8124293785310730
tau( Total_export_EU , Total_export_Poland )0.7578412283328540
tau( Total_export_France , Total_export_Netherlands )0.7446327683615820
tau( Total_export_France , Total_export_Poland )0.6538570478606351.58983937126322e-13
tau( Total_export_Netherlands , Total_export_Poland )0.778185959294810

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Total_export_EU , Total_export_France ) & 0.810169491525424 & 0 \tabularnewline
tau( Total_export_EU , Total_export_Netherlands ) & 0.812429378531073 & 0 \tabularnewline
tau( Total_export_EU , Total_export_Poland ) & 0.757841228332854 & 0 \tabularnewline
tau( Total_export_France , Total_export_Netherlands ) & 0.744632768361582 & 0 \tabularnewline
tau( Total_export_France , Total_export_Poland ) & 0.653857047860635 & 1.58983937126322e-13 \tabularnewline
tau( Total_export_Netherlands , Total_export_Poland ) & 0.77818595929481 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32666&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( Total_export_EU , Total_export_France )[/C][C]0.810169491525424[/C][C]0[/C][/ROW]
[ROW][C]tau( Total_export_EU , Total_export_Netherlands )[/C][C]0.812429378531073[/C][C]0[/C][/ROW]
[ROW][C]tau( Total_export_EU , Total_export_Poland )[/C][C]0.757841228332854[/C][C]0[/C][/ROW]
[ROW][C]tau( Total_export_France , Total_export_Netherlands )[/C][C]0.744632768361582[/C][C]0[/C][/ROW]
[ROW][C]tau( Total_export_France , Total_export_Poland )[/C][C]0.653857047860635[/C][C]1.58983937126322e-13[/C][/ROW]
[ROW][C]tau( Total_export_Netherlands , Total_export_Poland )[/C][C]0.77818595929481[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32666&T=1

As an alternative you can also use a QR Code:  
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( Total_export_EU , Total_export_France )0.8101694915254240
tau( Total_export_EU , Total_export_Netherlands )0.8124293785310730
tau( Total_export_EU , Total_export_Poland )0.7578412283328540
tau( Total_export_France , Total_export_Netherlands )0.7446327683615820
tau( Total_export_France , Total_export_Poland )0.6538570478606351.58983937126322e-13
tau( Total_export_Netherlands , Total_export_Poland )0.778185959294810


Figures (Output of Computation)

Input Parameters & R Code

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')