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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 computationTue, 10 Nov 2009 11:46:49 -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/t1257878877n6c2e7q63bcwyjq.htm/, Retrieved Mon, 06 May 2024 00:11:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55340, Retrieved Mon, 06 May 2024 00:11:32 +0000
QR Codes:

Original text written by user:WS 6 Multivariate EDA
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [WS 6 Multivariate...] [2009-11-10 18:46:49] [9b6f46453e60f88d91cef176fe926003] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14,5	14,8	392	127
14,3	14,7	394	123
15,3	16	392	118
14,4	15,4	396	114
13,7	15	392	108
14,2	15,5	396	111
13,5	15,1	419	151
11,9	11,7	421	159
14,6	16,3	420	158
15,6	16,7	418	148
14,1	15	410	138
14,9	14,9	418	137
14,2	14,6	426	136
14,6	15,3	428	133
17,2	17,9	430	126
15,4	16,4	424	120
14,3	15,4	423	114
17,5	17,9	427	116
14,5	15,9	441	153
14,4	13,9	449	162
16,6	17,8	452	161
16,7	17,9	462	149
16,6	17,4	455	139
16,9	16,7	461	135
15,7	16	461	130
16,4	16,6	463	127
18,4	19,1	462	122
16,9	17,8	456	117
16,5	17,2	455	112
18,3	18,6	456	113
15,1	16,3	472	149
15,7	15,1	472	157
18,1	19,2	471	157
16,8	17,7	465	147
18,9	19,1	459	137
19	18	465	132
18,1	17,5	468	125
17,8	17,8	467	123
21,5	21,1	463	117
17,1	17,2	460	114
18,7	19,4	462	111
19	19,8	461	112
16,4	17,6	476	144
16,9	16,2	476	150
18,6	19,5	471	149
19,3	19,9	453	134
19,4	20	443	123
17,6	17,3	442	116
18,6	18,9	444	117
18,1	18,6	438	111
20,4	21,4	427	105
18,1	18,6	424	102
19,6	19,8	416	95
19,9	20,8	406	93
19,2	19,6	431	124
17,8	17,7	434	130
19,2	19,8	418	124
22	22,2	412	115
21,1	20,7	404	106
19,5	17,9	409	105
22,2	20,9	412	105
20,9	21,2	406	101
22,2	21,4	398	95
23,5	23	397	93
21,5	21,3	385	84
24,3	23,9	390	87
22,8	22,4	413	116
20,3	18,3	413	120
23,7	22,8	401	117
23,3	22,3	397	109
19,6	17,8	397	105
18	16,4	409	107
17,3	16	419	109
16,8	16,4	424	109
18,2	17,7	428	108
16,5	16,6	430	107
16	16,2	424	99
18,4	18,3	433	103

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=55340&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=55340&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55340&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( invbe , uitvbe )0.8143424158961990
tau( invbe , werkl>25jr )-0.09054203330231250.245483193366322
tau( invbe , werkl<25jr )-0.3846423624280338.187361847207e-07
tau( uitvbe , werkl>25jr )-0.03675602817377120.637875263440285
tau( uitvbe , werkl<25jr )-0.3269782770801672.85779975907847e-05
tau( werkl>25jr , werkl<25jr )0.3788799782910041.23849790556463e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( invbe , uitvbe ) & 0.814342415896199 & 0 \tabularnewline
tau( invbe , werkl>25jr ) & -0.0905420333023125 & 0.245483193366322 \tabularnewline
tau( invbe , werkl<25jr ) & -0.384642362428033 & 8.187361847207e-07 \tabularnewline
tau( uitvbe , werkl>25jr ) & -0.0367560281737712 & 0.637875263440285 \tabularnewline
tau( uitvbe , werkl<25jr ) & -0.326978277080167 & 2.85779975907847e-05 \tabularnewline
tau( werkl>25jr , werkl<25jr ) & 0.378879978291004 & 1.23849790556463e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55340&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( invbe , uitvbe )[/C][C]0.814342415896199[/C][C]0[/C][/ROW]
[ROW][C]tau( invbe , werkl>25jr )[/C][C]-0.0905420333023125[/C][C]0.245483193366322[/C][/ROW]
[ROW][C]tau( invbe , werkl<25jr )[/C][C]-0.384642362428033[/C][C]8.187361847207e-07[/C][/ROW]
[ROW][C]tau( uitvbe , werkl>25jr )[/C][C]-0.0367560281737712[/C][C]0.637875263440285[/C][/ROW]
[ROW][C]tau( uitvbe , werkl<25jr )[/C][C]-0.326978277080167[/C][C]2.85779975907847e-05[/C][/ROW]
[ROW][C]tau( werkl>25jr , werkl<25jr )[/C][C]0.378879978291004[/C][C]1.23849790556463e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55340&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55340&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( invbe , uitvbe )0.8143424158961990
tau( invbe , werkl>25jr )-0.09054203330231250.245483193366322
tau( invbe , werkl<25jr )-0.3846423624280338.187361847207e-07
tau( uitvbe , werkl>25jr )-0.03675602817377120.637875263440285
tau( uitvbe , werkl<25jr )-0.3269782770801672.85779975907847e-05
tau( werkl>25jr , werkl<25jr )0.3788799782910041.23849790556463e-06


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')