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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 18 Dec 2007 08:31:59 -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/Dec/18/t11979909633hwwh6lkl108y1g.htm/, Retrieved Sat, 04 May 2024 16:34:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4542, Retrieved Sat, 04 May 2024 16:34:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

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 gedif...] [2007-12-15 14:28:09] [661e0a3b0a5fd18df72fac71dee060c3]
-   PD    [Kendall tau Correlation Matrix] [Kendell Tau zonde...] [2007-12-18 15:31:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36845	112,61	68,4	101,17
35338	113,4	70,6	101,93
35022	115,18	83,9	102,05
34777	121,01	90,1	102,08
26887	119,44	90,6	102,14
23970	116,68	87,1	102,15
22780	117,07	90,8	95,42
17351	117,41	94,1	95,43
21382	119,58	99,8	95,43
24561	120,92	96,8	95,43
17409	117,09	87	95,43
11514	116,77	96,3	95,57
31514	119,39	107,1	95,71
27071	122,49	115,2	94,58
29462	124,08	106,1	94,6
26105	118,29	89,5	94,61
22397	112,94	91,3	94,62
23843	113,79	97,6	94,66
21705	114,43	100,7	94,66
18089	118,7	104,6	94,69
20764	120,36	94,7	94,79
25316	118,27	101,8	94,79
17704	118,34	102,5	94,79
15548	117,82	105,3	94,79
28029	117,65	110,3	94,8
29383	118,18	109,8	95,46
36438	121,02	117,3	95,49
32034	124,78	118,8	95,74
22679	131,16	131,3	95,74
24319	130,14	125,9	95,74
18004	131,75	133,1	95,75
17537	134,73	147	95,83
20366	135,35	145,8	95,83
22782	140,32	164,4	95,84
19169	136,35	149,8	95,81
13807	131,6	137,7	95,81
29743	128,9	151,7	95,8
25591	133,89	156,8	97,06
29096	138,25	180	97,15
26482	146,23	180,4	97,14
22405	144,76	170,4	97,48
27044	149,3	191,6	97,48
17970	156,8	199,5	97,48
18730	159,08	218,2	97,5
19684	165,12	217,5	97,63
19785	163,14	205	97,86
18479	153,43	194	97,87
10698	151,01	199,3	97,87
31956	154,72	219,3	97,84
29506	154,58	211,1	98,72
34506	155,63	215,2	100,49
27165	161,67	240,2	100,54
26736	163,51	242,2	100,54
23691	162,91	240,7	100,54
18157	164,80	255,4	100,55
17328	164,98	253	100,59
18205	154,54	218,2	100,60
20995	148,60	203,7	100,62
17382	149,19	205,6	100,68
9367	150,61	215,6	100,68

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4542&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4542&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Inschrijvingen , Brandstof )-0.1265536723163840.153103164246523
tau( Inschrijvingen , RuweAardolie )-0.1497598251366190.0909925082587038
tau( Inschrijvingen , Dienstenwegvervoer )0.0466717385489780.600734170148239
tau( Brandstof , RuweAardolie )0.8143543698938420
tau( Brandstof , Dienstenwegvervoer )0.4371206732392099.50723257675534e-07
tau( RuweAardolie , Dienstenwegvervoer )0.4400908479683958.07346069775505e-07

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Inschrijvingen , Brandstof ) & -0.126553672316384 & 0.153103164246523 \tabularnewline
tau( Inschrijvingen , RuweAardolie ) & -0.149759825136619 & 0.0909925082587038 \tabularnewline
tau( Inschrijvingen , Dienstenwegvervoer ) & 0.046671738548978 & 0.600734170148239 \tabularnewline
tau( Brandstof , RuweAardolie ) & 0.814354369893842 & 0 \tabularnewline
tau( Brandstof , Dienstenwegvervoer ) & 0.437120673239209 & 9.50723257675534e-07 \tabularnewline
tau( RuweAardolie , Dienstenwegvervoer ) & 0.440090847968395 & 8.07346069775505e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4542&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( Inschrijvingen , Brandstof )[/C][C]-0.126553672316384[/C][C]0.153103164246523[/C][/ROW]
[ROW][C]tau( Inschrijvingen , RuweAardolie )[/C][C]-0.149759825136619[/C][C]0.0909925082587038[/C][/ROW]
[ROW][C]tau( Inschrijvingen , Dienstenwegvervoer )[/C][C]0.046671738548978[/C][C]0.600734170148239[/C][/ROW]
[ROW][C]tau( Brandstof , RuweAardolie )[/C][C]0.814354369893842[/C][C]0[/C][/ROW]
[ROW][C]tau( Brandstof , Dienstenwegvervoer )[/C][C]0.437120673239209[/C][C]9.50723257675534e-07[/C][/ROW]
[ROW][C]tau( RuweAardolie , Dienstenwegvervoer )[/C][C]0.440090847968395[/C][C]8.07346069775505e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4542&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( Inschrijvingen , Brandstof )-0.1265536723163840.153103164246523
tau( Inschrijvingen , RuweAardolie )-0.1497598251366190.0909925082587038
tau( Inschrijvingen , Dienstenwegvervoer )0.0466717385489780.600734170148239
tau( Brandstof , RuweAardolie )0.8143543698938420
tau( Brandstof , Dienstenwegvervoer )0.4371206732392099.50723257675534e-07
tau( RuweAardolie , Dienstenwegvervoer )0.4400908479683958.07346069775505e-07


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')