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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 13 Dec 2011 10:31:37 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t1323790315huf7iyre87gikcz.htm/, Retrieved Thu, 31 Oct 2024 22:56:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154421, Retrieved Thu, 31 Oct 2024 22:56:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [Kendall's tau Cor...] [2010-12-10 10:38:39] [74deae64b71f9d77c839af86f7c687b5]
- RM        [Kendall tau Correlation Matrix] [] [2011-12-13 15:31:37] [4be1b05f688f7fa8db5b9e9e4d3a7e33] [Current]
-    D        [Kendall tau Correlation Matrix] [] [2011-12-23 22:15:28] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
101.82	107.34	93.63	99.85	101.76
101.68	107.34	93.63	99.91	102.37
101.68	107.34	93.63	99.87	102.38
102.45	107.34	96.13	99.86	102.86
102.45	107.34	96.13	100.10	102.87
102.45	107.34	96.13	100.10	102.92
102.45	107.34	96.13	100.12	102.95
102.45	107.34	96.13	99.95	103.02
102.45	112.60	96.13	99.94	104.08
102.52	112.60	96.13	100.18	104.16
102.52	112.60	96.13	100.31	104.24
102.85	112.60	96.13	100.65	104.33
102.85	112.61	96.13	100.65	104.73
102.85	112.61	96.13	100.69	104.86
103.25	112.61	96.13	101.26	105.03
103.25	112.61	98.73	101.26	105.62
103.25	112.61	98.73	101.38	105.63
103.25	112.61	98.73	101.38	105.63
104.45	112.61	98.73	101.38	105.94
104.45	112.61	98.73	101.44	106.61
104.45	118.65	98.73	101.40	107.69
104.80	118.65	98.73	101.40	107.78
104.80	118.65	98.73	100.58	107.93
105.29	118.65	98.73	100.58	108.48
105.29	114.29	98.73	100.58	108.14
105.29	114.29	98.73	100.59	108.48
105.29	114.29	98.73	100.81	108.48
106.04	114.29	101.67	100.75	108.89
105.94	114.29	101.67	100.75	108.93
105.94	114.29	101.67	100.96	109.21
105.94	114.29	101.67	101.31	109.47
106.28	114.29	101.67	101.64	109.80
106.48	123.33	101.67	101.46	111.73
107.19	123.33	101.67	101.73	111.85
108.14	123.33	101.67	101.73	112.12
108.22	123.33	101.67	101.64	112.15
108.22	123.33	101.67	101.77	112.17
108.61	123.33	101.67	101.74	112.67
108.61	123.33	101.67	101.89	112.80
108.61	123.33	107.94	101.89	113.44
108.61	123.33	107.94	101.93	113.53
109.06	123.33	107.94	101.93	114.53
109.06	123.33	107.94	102.32	114.51
112.93	123.33	107.94	102.41	115.05
115.84	129.03	107.94	103.58	116.67
118.57	128.76	107.94	104.12	117.07
118.57	128.76	107.94	104.10	116.92
118.86	128.76	107.94	104.15	117.00
118.98	128.76	107.94	104.15	117.02
119.27	128.76	107.94	104.16	117.35
119.39	128.76	107.94	102.94	117.36
119.49	128.76	110.30	103.07	117.82
119.59	128.76	110.30	103.04	117.88
120.12	128.76	110.30	103.06	118.24
120.14	128.76	110.30	103.05	118.50
120.14	128.76	110.30	102.95	118.80
120.14	132.63	110.30	102.95	119.76
120.14	132.63	110.30	103.05	120.09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154421&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154421&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154421&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Correlations for all pairs of data series (method=kendall)
BiosSchouwburgDaguitstapHuurDVDVrijetijdsbesteding
Bios10.8840.9190.7920.976
Schouwburg0.88410.8610.7890.88
Daguitstap0.9190.86110.7880.91
HuurDVD0.7920.7890.78810.793
Vrijetijdsbesteding0.9760.880.910.7931

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Bios & Schouwburg & Daguitstap & HuurDVD & Vrijetijdsbesteding \tabularnewline
Bios & 1 & 0.884 & 0.919 & 0.792 & 0.976 \tabularnewline
Schouwburg & 0.884 & 1 & 0.861 & 0.789 & 0.88 \tabularnewline
Daguitstap & 0.919 & 0.861 & 1 & 0.788 & 0.91 \tabularnewline
HuurDVD & 0.792 & 0.789 & 0.788 & 1 & 0.793 \tabularnewline
Vrijetijdsbesteding & 0.976 & 0.88 & 0.91 & 0.793 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154421&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Bios[/C][C]Schouwburg[/C][C]Daguitstap[/C][C]HuurDVD[/C][C]Vrijetijdsbesteding[/C][/ROW]
[ROW][C]Bios[/C][C]1[/C][C]0.884[/C][C]0.919[/C][C]0.792[/C][C]0.976[/C][/ROW]
[ROW][C]Schouwburg[/C][C]0.884[/C][C]1[/C][C]0.861[/C][C]0.789[/C][C]0.88[/C][/ROW]
[ROW][C]Daguitstap[/C][C]0.919[/C][C]0.861[/C][C]1[/C][C]0.788[/C][C]0.91[/C][/ROW]
[ROW][C]HuurDVD[/C][C]0.792[/C][C]0.789[/C][C]0.788[/C][C]1[/C][C]0.793[/C][/ROW]
[ROW][C]Vrijetijdsbesteding[/C][C]0.976[/C][C]0.88[/C][C]0.91[/C][C]0.793[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154421&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154421&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=kendall)
BiosSchouwburgDaguitstapHuurDVDVrijetijdsbesteding
Bios10.8840.9190.7920.976
Schouwburg0.88410.8610.7890.88
Daguitstap0.9190.86110.7880.91
HuurDVD0.7920.7890.78810.793
Vrijetijdsbesteding0.9760.880.910.7931







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Bios;Schouwburg0.91550.97070.884
p-value(0)(0)(0)
Bios;Daguitstap0.92650.98010.9192
p-value(0)(0)(0)
Bios;HuurDVD0.92230.92840.7923
p-value(0)(0)(0)
Bios;Vrijetijdsbesteding0.94630.99780.9761
p-value(0)(0)(0)
Schouwburg;Daguitstap0.92030.93770.861
p-value(0)(0)(0)
Schouwburg;HuurDVD0.90690.9270.7893
p-value(0)(0)(0)
Schouwburg;Vrijetijdsbesteding0.97440.97270.8796
p-value(0)(0)(0)
Daguitstap;HuurDVD0.89350.91580.7879
p-value(0)(0)(0)
Daguitstap;Vrijetijdsbesteding0.97120.98140.9098
p-value(0)(0)(0)
HuurDVD;Vrijetijdsbesteding0.91390.92950.7929
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Bios;Schouwburg & 0.9155 & 0.9707 & 0.884 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bios;Daguitstap & 0.9265 & 0.9801 & 0.9192 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bios;HuurDVD & 0.9223 & 0.9284 & 0.7923 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Bios;Vrijetijdsbesteding & 0.9463 & 0.9978 & 0.9761 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Schouwburg;Daguitstap & 0.9203 & 0.9377 & 0.861 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Schouwburg;HuurDVD & 0.9069 & 0.927 & 0.7893 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Schouwburg;Vrijetijdsbesteding & 0.9744 & 0.9727 & 0.8796 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Daguitstap;HuurDVD & 0.8935 & 0.9158 & 0.7879 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Daguitstap;Vrijetijdsbesteding & 0.9712 & 0.9814 & 0.9098 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HuurDVD;Vrijetijdsbesteding & 0.9139 & 0.9295 & 0.7929 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154421&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]Bios;Schouwburg[/C][C]0.9155[/C][C]0.9707[/C][C]0.884[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bios;Daguitstap[/C][C]0.9265[/C][C]0.9801[/C][C]0.9192[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bios;HuurDVD[/C][C]0.9223[/C][C]0.9284[/C][C]0.7923[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Bios;Vrijetijdsbesteding[/C][C]0.9463[/C][C]0.9978[/C][C]0.9761[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Schouwburg;Daguitstap[/C][C]0.9203[/C][C]0.9377[/C][C]0.861[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Schouwburg;HuurDVD[/C][C]0.9069[/C][C]0.927[/C][C]0.7893[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Schouwburg;Vrijetijdsbesteding[/C][C]0.9744[/C][C]0.9727[/C][C]0.8796[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Daguitstap;HuurDVD[/C][C]0.8935[/C][C]0.9158[/C][C]0.7879[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Daguitstap;Vrijetijdsbesteding[/C][C]0.9712[/C][C]0.9814[/C][C]0.9098[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HuurDVD;Vrijetijdsbesteding[/C][C]0.9139[/C][C]0.9295[/C][C]0.7929[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154421&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154421&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Bios;Schouwburg0.91550.97070.884
p-value(0)(0)(0)
Bios;Daguitstap0.92650.98010.9192
p-value(0)(0)(0)
Bios;HuurDVD0.92230.92840.7923
p-value(0)(0)(0)
Bios;Vrijetijdsbesteding0.94630.99780.9761
p-value(0)(0)(0)
Schouwburg;Daguitstap0.92030.93770.861
p-value(0)(0)(0)
Schouwburg;HuurDVD0.90690.9270.7893
p-value(0)(0)(0)
Schouwburg;Vrijetijdsbesteding0.97440.97270.8796
p-value(0)(0)(0)
Daguitstap;HuurDVD0.89350.91580.7879
p-value(0)(0)(0)
Daguitstap;Vrijetijdsbesteding0.97120.98140.9098
p-value(0)(0)(0)
HuurDVD;Vrijetijdsbesteding0.91390.92950.7929
p-value(0)(0)(0)



Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = kendall ;
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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')