FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 29 Nov 2007 11:39:54 -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/2007/Nov/29/t1196360968qsg4qwe9qn4xp3p.htm/, Retrieved Fri, 03 May 2024 08:22:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7568, Retrieved Fri, 03 May 2024 08:22:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

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] [matrix ZONDER tra...] [2007-11-29 18:39:54] [cb51ec34031fa6f7825ad77351c1efd8] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,1608	544,5	733,6	40,3
1,1208	619,8	844,9	38,4
1,0883	777,6	864,3	46,9
1,0704	640,4	833,5	56,1
1,0628	633	814,9	57,4
1,0378	722	820,4	58,5
1,0353	860,1	710,8	66,6
1,0604	495,1	773,1	71,8
1,0501	692,8	801,2	80,7
1,0706	766,7	832,9	78,2
1,0338	648,5	808,3	85
1,011	640	817,2	87,6
1,0137	681,6	745,5	88,6
0,9834	752,5	932,6	95
0,9643	1031,7	1057	96,3
0,947	685,5	879,9	83,3
0,906	887,6	1089,5	96,9
0,9492	655,4	903	103,4
0,9397	944,2	846,1	99,3
0,9041	626,6	959,1	103,8
0,8721	1221,8	952	113,4
0,8552	939,6	1092,5	111,5
0,8564	886,6	1188,9	114,2
0,8973	811,3	996,7	90,6
0,9383	774,7	1034,3	90,8
0,9217	910,6	898,2	96,4
0,9095	911,6	1111,6	90
0,892	697,7	900,5	92,1
0,8742	829,8	1049,2	97,2
0,8532	824,3	1010,9	95,1
0,8607	885,6	875,9	88,5
0,9005	538,9	849,9	91
0,9111	686	713,4	90,5
0,9059	878,7	918,6	75
0,8883	812,7	912,5	66,3
0,8924	640,4	767	66
0,8833	773,9	902,2	68,4
0,87	795,9	891,9	70,6
0,8758	836,3	874	83,9
0,8858	876,1	930,9	90,1
0,917	851,7	944,2	90,6
0,9554	692,4	935,9	87,1
0,9922	877,3	937,1	90,8
0,9778	536,8	885,1	94,1
0,9808	705,9	892,4	99,8
0,9811	951	987,3	96,8
1,0014	755,7	946,3	87
1,0183	695,5	799,6	96,3
1,0622	744,8	875,4	107,1
1,0773	672,1	846,2	115,2
1,0807	666,6	880,6	106,1
1,0848	760,8	885,7	89,5
1,1582	756	868,9	91,3
1,1663	604,4	882,5	97,6
1,1372	883,9	789,6	100,7
1,1139	527,9	773,3	104,6
1,1222	756,2	804,3	94,7
1,1692	812,9	817,8	101,8
1,1702	655,6	836,7	102,5
1,2286	707,6	721,8	105,3

Tables (Output of Computation)





Summary of compuational 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 compuational 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=7568&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7568&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 compuational 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( dollarkoers , export )-0.291042679039090.00102091102634099
tau( dollarkoers , import )-0.4033898305084755.26752700245975e-06
tau( dollarkoers , aardolie )-0.02883800867672750.744958435870249
tau( export , import )0.3735518657181332.48788200780670e-05
tau( export , aardolie )0.1357466280485780.125812099346807
tau( import , aardolie )0.1984733538339480.0251696255083149

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( dollarkoers , export ) & -0.29104267903909 & 0.00102091102634099 \tabularnewline
tau( dollarkoers , import ) & -0.403389830508475 & 5.26752700245975e-06 \tabularnewline
tau( dollarkoers , aardolie ) & -0.0288380086767275 & 0.744958435870249 \tabularnewline
tau( export , import ) & 0.373551865718133 & 2.48788200780670e-05 \tabularnewline
tau( export , aardolie ) & 0.135746628048578 & 0.125812099346807 \tabularnewline
tau( import , aardolie ) & 0.198473353833948 & 0.0251696255083149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7568&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( dollarkoers , export )[/C][C]-0.29104267903909[/C][C]0.00102091102634099[/C][/ROW]
[ROW][C]tau( dollarkoers , import )[/C][C]-0.403389830508475[/C][C]5.26752700245975e-06[/C][/ROW]
[ROW][C]tau( dollarkoers , aardolie )[/C][C]-0.0288380086767275[/C][C]0.744958435870249[/C][/ROW]
[ROW][C]tau( export , import )[/C][C]0.373551865718133[/C][C]2.48788200780670e-05[/C][/ROW]
[ROW][C]tau( export , aardolie )[/C][C]0.135746628048578[/C][C]0.125812099346807[/C][/ROW]
[ROW][C]tau( import , aardolie )[/C][C]0.198473353833948[/C][C]0.0251696255083149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7568&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( dollarkoers , export )-0.291042679039090.00102091102634099
tau( dollarkoers , import )-0.4033898305084755.26752700245975e-06
tau( dollarkoers , aardolie )-0.02883800867672750.744958435870249
tau( export , import )0.3735518657181332.48788200780670e-05
tau( export , aardolie )0.1357466280485780.125812099346807
tau( import , aardolie )0.1984733538339480.0251696255083149


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')