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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 computationSun, 11 Dec 2011 08:35:32 -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/11/t1323610545b2g6sdtyd6jt5f5.htm/, Retrieved Sun, 28 Apr 2024 21:14:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153730, Retrieved Sun, 28 Apr 2024 21:14:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

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] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [] [2011-12-11 12:47:57] [b4c8fd31b0af00c33711722ddf8d2c4c]
-   PD      [Kendall tau Correlation Matrix] [] [2011-12-11 13:35:32] [c092f3a3bdd85c7279ddab6c8c6c9261] [Current]
-    D        [Kendall tau Correlation Matrix] [] [2011-12-11 14:09:21] [b4c8fd31b0af00c33711722ddf8d2c4c]
-   PD          [Kendall tau Correlation Matrix] [] [2011-12-12 10:00:02] [74be16979710d4c4e7c6647856088456]
-                 [Kendall tau Correlation Matrix] [] [2011-12-12 10:02:56] [74be16979710d4c4e7c6647856088456]
-  M                [Kendall tau Correlation Matrix] [WS 10] [2012-12-07 13:48:13] [ec4855be6a46db5e0c29fcd049472c6d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0	210907	0	2
0	179321	NA	4
0	149061	0	0
0	237213	1	0
0	173326	NA	-4
0	133131	1	4
0	258873	NA	4
0	324799	1	0
0	230964	0	-1
0	236785	1	0
0	344297	1	1
0	174724	1	0
0	174415	1	3
0	223632	1	-1
0	294424	0	4
0	325107	1	3
0	106408	0	1
0	96560	0	0
0	265769	1	-2
0	269651	NA	-3
0	149112	0	-4
0	152871	0	2
0	362301	1	2
0	183167	0	-4
0	277965	NA	3
0	218946	1	2
0	244052	1	2
0	341570	1	0
0	233328	NA	5
0	206161	NA	-2
0	311473	NA	0
0	207176	NA	-2
0	196553	1	-3
0	143246	0	2
0	182192	NA	2
0	194979	NA	2
0	167488	NA	0
0	143756	0	4
0	275541	NA	4
0	152299	1	2
0	193339	1	2
0	130585	0	-4
0	112611	1	3
0	148446	1	3
0	182079	0	2
0	243060	1	-1
0	162765	1	-3
0	85574	1	0
0	225060	0	1
0	133328	1	-3
0	100750	1	3
0	101523	1	0
0	243511	1	0
0	152474	1	0
0	132487	1	3
0	317394	0	-3
0	244749	1	0
0	184510	NA	-4
0	128423	0	2
0	97839	0	-1
1	172494	NA	3
1	229242	1	2
1	351619	NA	5
1	324598	0	2
1	195838	0	-2
1	254488	0	0
1	199476	NA	3
1	92499	1	-2
1	224330	0	0
1	181633	1	6
1	271856	1	-3
1	95227	1	3
1	98146	0	0
1	118612	0	-2
1	65475	1	1
1	108446	0	0
1	121848	0	2
1	76302	1	2
1	98104	0	-3
1	30989	1	-2
1	31774	0	1
1	150580	1	-4
1	54157	NA	0
1	59382	0	1
1	84105	0	0

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153730&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153730&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'Herman Ole Andreas Wold' @ wold.wessa.net






Correlations for all pairs of data series (method=kendall)
poptime_in_rfcgendertotal_tests
pop1-0.263-0.189-0.016
time_in_rfc-0.26310.1510.062
gender-0.1890.15110.099
total_tests-0.0160.0620.0991

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & pop & time_in_rfc & gender & total_tests \tabularnewline
pop & 1 & -0.263 & -0.189 & -0.016 \tabularnewline
time_in_rfc & -0.263 & 1 & 0.151 & 0.062 \tabularnewline
gender & -0.189 & 0.151 & 1 & 0.099 \tabularnewline
total_tests & -0.016 & 0.062 & 0.099 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153730&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]pop[/C][C]time_in_rfc[/C][C]gender[/C][C]total_tests[/C][/ROW]
[ROW][C]pop[/C][C]1[/C][C]-0.263[/C][C]-0.189[/C][C]-0.016[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]-0.263[/C][C]1[/C][C]0.151[/C][C]0.062[/C][/ROW]
[ROW][C]gender[/C][C]-0.189[/C][C]0.151[/C][C]1[/C][C]0.099[/C][/ROW]
[ROW][C]total_tests[/C][C]-0.016[/C][C]0.062[/C][C]0.099[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153730&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:

Correlations for all pairs of data series (method=kendall)
poptime_in_rfcgendertotal_tests
pop1-0.263-0.189-0.016
time_in_rfc-0.26310.1510.062
gender-0.1890.15110.099
total_tests-0.0160.0620.0991






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pop;time_in_rfc-0.3075-0.3199-0.2627
p-value(0.0042)(0.0028)(0.0034)
pop;gender-0.189-0.189-0.189
p-value(0.1256)(0.1256)(0.1247)
pop;total_tests-0.0025-0.0181-0.0157
p-value(0.982)(0.8694)(0.8682)
time_in_rfc;gender0.17690.18380.1512
p-value(0.1521)(0.1365)(0.1354)
time_in_rfc;total_tests0.11080.08340.062
p-value(0.3129)(0.4478)(0.4262)
gender;total_tests0.11770.11380.0993
p-value(0.343)(0.3592)(0.3552)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
pop;time_in_rfc & -0.3075 & -0.3199 & -0.2627 \tabularnewline
p-value & (0.0042) & (0.0028) & (0.0034) \tabularnewline
pop;gender & -0.189 & -0.189 & -0.189 \tabularnewline
p-value & (0.1256) & (0.1256) & (0.1247) \tabularnewline
pop;total_tests & -0.0025 & -0.0181 & -0.0157 \tabularnewline
p-value & (0.982) & (0.8694) & (0.8682) \tabularnewline
time_in_rfc;gender & 0.1769 & 0.1838 & 0.1512 \tabularnewline
p-value & (0.1521) & (0.1365) & (0.1354) \tabularnewline
time_in_rfc;total_tests & 0.1108 & 0.0834 & 0.062 \tabularnewline
p-value & (0.3129) & (0.4478) & (0.4262) \tabularnewline
gender;total_tests & 0.1177 & 0.1138 & 0.0993 \tabularnewline
p-value & (0.343) & (0.3592) & (0.3552) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153730&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]pop;time_in_rfc[/C][C]-0.3075[/C][C]-0.3199[/C][C]-0.2627[/C][/ROW]
[ROW][C]p-value[/C][C](0.0042)[/C][C](0.0028)[/C][C](0.0034)[/C][/ROW]
[ROW][C]pop;gender[/C][C]-0.189[/C][C]-0.189[/C][C]-0.189[/C][/ROW]
[ROW][C]p-value[/C][C](0.1256)[/C][C](0.1256)[/C][C](0.1247)[/C][/ROW]
[ROW][C]pop;total_tests[/C][C]-0.0025[/C][C]-0.0181[/C][C]-0.0157[/C][/ROW]
[ROW][C]p-value[/C][C](0.982)[/C][C](0.8694)[/C][C](0.8682)[/C][/ROW]
[ROW][C]time_in_rfc;gender[/C][C]0.1769[/C][C]0.1838[/C][C]0.1512[/C][/ROW]
[ROW][C]p-value[/C][C](0.1521)[/C][C](0.1365)[/C][C](0.1354)[/C][/ROW]
[ROW][C]time_in_rfc;total_tests[/C][C]0.1108[/C][C]0.0834[/C][C]0.062[/C][/ROW]
[ROW][C]p-value[/C][C](0.3129)[/C][C](0.4478)[/C][C](0.4262)[/C][/ROW]
[ROW][C]gender;total_tests[/C][C]0.1177[/C][C]0.1138[/C][C]0.0993[/C][/ROW]
[ROW][C]p-value[/C][C](0.343)[/C][C](0.3592)[/C][C](0.3552)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153730&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153730&T=2

As an alternative you can also use a QR Code:  
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
pop;time_in_rfc-0.3075-0.3199-0.2627
p-value(0.0042)(0.0028)(0.0034)
pop;gender-0.189-0.189-0.189
p-value(0.1256)(0.1256)(0.1247)
pop;total_tests-0.0025-0.0181-0.0157
p-value(0.982)(0.8694)(0.8682)
time_in_rfc;gender0.17690.18380.1512
p-value(0.1521)(0.1365)(0.1354)
time_in_rfc;total_tests0.11080.08340.062
p-value(0.3129)(0.4478)(0.4262)
gender;total_tests0.11770.11380.0993
p-value(0.343)(0.3592)(0.3552)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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')