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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 computationWed, 11 Nov 2009 08:33:13 -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/t1257953650r6zukbz1ol1lju1.htm/, Retrieved Thu, 25 Apr 2024 14:04:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55694, Retrieved Thu, 25 Apr 2024 14:04:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RM D    [Kendall tau Correlation Matrix] [] [2009-11-11 15:33:13] [0744dbfa8cdb263e2e292d0a5ee9dc89] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-22	46	-29	60
-20	50	-31	57
-17	49	-27	56
-21	48	-28	56
-16	50	-22	59
-11	47	-22	57
-19	50	-30	62
-31	49	-33	62
-36	51	-41	59
-33	52	-39	57
-26	48	-40	63
-38	55	-49	61
-27	56	-40	59
-21	43	-36	58
-17	44	-34	58
-14	50	-30	58
-16	49	-33	55
-16	47	-36	55
-15	46	-33	56
-7	50	-33	60
-9	49	-27	56
2	53	-22	59
-6	54	-28	59
0	56	-27	63
7	56	-27	60
4	58	-23	58
-5	53	-31	57
2	51	-28	58
0	52	-21	55
3	53	-23	57
10	56	-19	56
4	54	-20	53
5	54	-21	61
7	56	-26	65
1	59	-29	66
-8	62	-31	65
-3	62	-31	68
-16	73	-47	78
-22	76	-48	79
-32	80	-58	80
-30	77	-59	84
-32	81	-57	84
-38	80	-64	86
-41	80	-65	86
-46	81	-71	81
-58	80	-72	80
-55	77	-71	79
-48	71	-66	76
-58	71	-73	78
-58	64	-68	69
-68	64	-67	70
-75	47	-69	59
-77	41	-72	55
-75	35	-68	47
-71	34	-70	48
-63	33	-67	47
-61	23	-63	45
-53	16	-61	36
-41	16	-58	44
-35	8	-57	33
-33	9	-52	34

Tables (Output of Computation)





Summary of computational 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 computational 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=55694&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]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=55694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55694&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( econVl , prijsVl )0.1131589165049760.20565922675999
tau( econVl , econWa )0.7610390682130510
tau( econVl , prijsWa )-0.04811536871376340.591638643883514
tau( prijsVl , econWa )-0.03022696662045350.73627172644325
tau( prijsVl , prijsWa )0.7238412563667061.11022302462516e-15
tau( econWa , prijsWa )-0.171353614731080.056997487590604

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( econVl , prijsVl ) & 0.113158916504976 & 0.20565922675999 \tabularnewline
tau( econVl , econWa ) & 0.761039068213051 & 0 \tabularnewline
tau( econVl , prijsWa ) & -0.0481153687137634 & 0.591638643883514 \tabularnewline
tau( prijsVl , econWa ) & -0.0302269666204535 & 0.73627172644325 \tabularnewline
tau( prijsVl , prijsWa ) & 0.723841256366706 & 1.11022302462516e-15 \tabularnewline
tau( econWa , prijsWa ) & -0.17135361473108 & 0.056997487590604 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55694&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( econVl , prijsVl )[/C][C]0.113158916504976[/C][C]0.20565922675999[/C][/ROW]
[ROW][C]tau( econVl , econWa )[/C][C]0.761039068213051[/C][C]0[/C][/ROW]
[ROW][C]tau( econVl , prijsWa )[/C][C]-0.0481153687137634[/C][C]0.591638643883514[/C][/ROW]
[ROW][C]tau( prijsVl , econWa )[/C][C]-0.0302269666204535[/C][C]0.73627172644325[/C][/ROW]
[ROW][C]tau( prijsVl , prijsWa )[/C][C]0.723841256366706[/C][C]1.11022302462516e-15[/C][/ROW]
[ROW][C]tau( econWa , prijsWa )[/C][C]-0.17135361473108[/C][C]0.056997487590604[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55694&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( econVl , prijsVl )0.1131589165049760.20565922675999
tau( econVl , econWa )0.7610390682130510
tau( econVl , prijsWa )-0.04811536871376340.591638643883514
tau( prijsVl , econWa )-0.03022696662045350.73627172644325
tau( prijsVl , prijsWa )0.7238412563667061.11022302462516e-15
tau( econWa , prijsWa )-0.171353614731080.056997487590604


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')