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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 computationThu, 22 Nov 2007 07:50:26 -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/Nov/22/t119574255848kys62nnl4fup0.htm/, Retrieved Thu, 02 May 2024 14:00:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6030, Retrieved Thu, 02 May 2024 14:00:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ3
Estimated Impact194

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] [workshop 7] [2007-11-22 14:50:26] [8ce1ad2ac57e06e10fb37a1292ae8cb6] [Current]
- RMPD    [Cross Correlation Function] [Q5. Compute the C...] [2007-11-26 10:52:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Cross Correlation Function] [Q6. Repeat Q4 wit...] [2007-11-26 10:57:25] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,1	98,6	98,1	98,6
100,6	98	101,1	98
103,1	106,8	111,1	106,8
95,5	96,6	93,3	96,7
90,5	100,1	100	100,2
90,9	107,7	108	107,7
88,8	91,5	70,4	92
90,7	97,8	75,4	98,4
94,3	107,4	105,5	107,4
104,6	117,5	112,3	117,7
111,1	105,6	102,5	105,7
110,8	97,4	93,5	97,5
107,2	99,5	86,7	99,9
99	98	95,2	98,2
99	104,3	103,8	104,5
91	100,6	97	100,8
96,2	101,1	95,5	101,5
96,9	103,9	101	103,9
96,2	96,9	67,5	99,6
100,1	95,5	64	98,4
99	108,4	106,7	112,7
115,4	117	100,6	118,4
106,9	103,8	101,2	108,1
107,1	100,8	93,1	105,4
99,3	110,6	84,2	114,6
99,2	104	85,8	106,9
108,3	112,6	91,8	115,9
105,6	107,3	92,4	109,8
99,5	98,9	80,3	101,8
107,4	109,8	79,7	114,2
93,1	104,9	62,5	110,8
88,1	102,2	57,1	108,4
110,7	123,9	100,8	127,5
113,1	124,9	100,7	128,6
99,6	112,7	86,2	116,6
93,6	121,9	83,2	127,4
98,6	100,6	71,7	105
99,6	104,3	77,5	108,3
114,3	120,4	89,8	125
107,8	107,5	80,3	111,6
101,2	102,9	78,7	106,5
112,5	125,6	93,8	130,3
100,5	107,5	57,6	115
93,9	108,8	60,6	116,1
116,2	128,4	91	134
112	121,1	85,3	126,5
106,4	119,5	77,4	125,8
95,7	128,7	77,3	136,4
96	108,7	68,3	114,9
95,8	105,5	69,9	110,9
103	119,8	81,7	125,5
102,2	111,3	75,1	116,8
98,4	110,6	69,9	116,8
111,4	120,1	84	125,5
86,6	97,5	54,3	104,2
91,3	107,7	60	115,1
107,9	127,3	89,9	132,8
101,8	117,2	77	123,3
104,4	119,8	85,3	124,8
93,4	116,2	77,6	122
100,1	111	69,2	117,4
98,5	112,4	75,5	117,9
112,9	130,6	85,7	137,4
101,4	109,1	72,2	114,6
107,1	118,8	79,9	124,7
110,8	123,9	85,3	129,6
90,3	101,6	52,2	109,4
95,5	112,8	61,2	120,9
111,4	128	82,4	134,9
113	129,6	85,4	136,3
107,5	125,8	78,2	133,2
95,9	119,5	70,2	127,2
106,3	115,7	70,2	122,7
105,2	113,6	69,3	120,5
117,2	129,7	77,5	137,8
106,9	112	66,1	119,1
108,2	116,8	69	124,3
110	126,3	75,3	134,3
96,1	112,9	58,2	121,7
100,6	115,9	59,7	125

Tables (Output of Computation)





Summary of compuational 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 compuational 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=6030&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]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=6030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6030&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( intermediare , totaal )0.408383696212649.09478434785171e-08
tau( intermediare , duurzaam )0.2387302669978780.00177877145034744
tau( intermediare , niet-duurzaam )0.3687721156036981.37568907643271e-06
tau( totaal , duurzaam )0.0368020323089740.629798774036173
tau( totaal , niet-duurzaam )0.896923745300860
tau( duurzaam , niet-duurzaam )-0.06594800585119280.387442778651968

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( intermediare , totaal ) & 0.40838369621264 & 9.09478434785171e-08 \tabularnewline
tau( intermediare , duurzaam ) & 0.238730266997878 & 0.00177877145034744 \tabularnewline
tau( intermediare , niet-duurzaam ) & 0.368772115603698 & 1.37568907643271e-06 \tabularnewline
tau( totaal , duurzaam ) & 0.036802032308974 & 0.629798774036173 \tabularnewline
tau( totaal , niet-duurzaam ) & 0.89692374530086 & 0 \tabularnewline
tau( duurzaam , niet-duurzaam ) & -0.0659480058511928 & 0.387442778651968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6030&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( intermediare , totaal )[/C][C]0.40838369621264[/C][C]9.09478434785171e-08[/C][/ROW]
[ROW][C]tau( intermediare , duurzaam )[/C][C]0.238730266997878[/C][C]0.00177877145034744[/C][/ROW]
[ROW][C]tau( intermediare , niet-duurzaam )[/C][C]0.368772115603698[/C][C]1.37568907643271e-06[/C][/ROW]
[ROW][C]tau( totaal , duurzaam )[/C][C]0.036802032308974[/C][C]0.629798774036173[/C][/ROW]
[ROW][C]tau( totaal , niet-duurzaam )[/C][C]0.89692374530086[/C][C]0[/C][/ROW]
[ROW][C]tau( duurzaam , niet-duurzaam )[/C][C]-0.0659480058511928[/C][C]0.387442778651968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6030&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( intermediare , totaal )0.408383696212649.09478434785171e-08
tau( intermediare , duurzaam )0.2387302669978780.00177877145034744
tau( intermediare , niet-duurzaam )0.3687721156036981.37568907643271e-06
tau( totaal , duurzaam )0.0368020323089740.629798774036173
tau( totaal , niet-duurzaam )0.896923745300860
tau( duurzaam , niet-duurzaam )-0.06594800585119280.387442778651968


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')