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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 29 Nov 2007 04:34:53 -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/29/t11963355870lzexfuim4v0s46.htm/, Retrieved Fri, 03 May 2024 07:10:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7431, Retrieved Fri, 03 May 2024 07:10:51 +0000
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Original text written by user:gegevens uit excel in kandell tau (+ constante 20)
IsPrivate?No (this computation is public)
User-defined keywordsQ4, excel
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Workshop 3 Q4] [2007-11-29 11:34:53] [e38ae300fa323c405e42b78372d772d6] [Current]
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Dataseries X:
15,2	20	20	20
15,4	15,5	30,1	19,5
10,8	13,8	4,4	19,5
27,2	39,1	24,4	24,5
12,8	11,9	21	17,3
12	16,5	2,4	15,8
22,3	39,1	44,4	28,2
15,5	4,7	8,5	18,1
24,1	18,6	6,6	26,9
18,1	25	46,4	11,6
23	24,1	2,9	16,4
22,5	20,5	26	22,6
25,4	20,5	44,4	30,3
22,4	17,8	9,9	15,3
16,9	14,6	14,7	13,1
19,8	22	37,1	24
14,4	20,5	-12,2	14,6
18,8	23,1	33	25
16,4	12,8	26,5	19,7
15	15,3	19	18,7
16,1	32	30,6	7,4
14,7	11	3,4	30,7
10,1	21,8	40,8	28,3
22	25,1	28,5	14,8
12,7	16,4	1	17,5
16,7	21,2	28,9	23,4
32,6	33,1	21,1	24,6
17,6	13,3	10,6	16,9
22,4	16,1	33,2	22,9
34,3	25,8	34,5	20
21,1	17	-0,4	23,5
27,9	24,8	30,3	18,3
26	14	17,9	19,7
17,5	21,2	8,1	21,4
23,6	27,9	29,5	14,6
24,6	14	22,2	20,3
12,4	12,8	-6,9	11,7
18,2	28	20,7	25,8
9,8	17,8	30,9	17,5
17,6	21,1	5,9	22,1
16,2	31,1	28,6	22,2
13,6	12,6	20	16,7
11,9	16,6	37,2	23,2
16	25,4	-2,6	16,6
13,9	8,8	32,9	19,5
10,6	25,7	14,2	16,3
24,1	25,3	25,7	29,7
18,5	17,6	6,9	22,6
24,2	28	57,2	22,5
22,6	16,8	20,3	18,3
31,4	20,8	10,1	24,8
17,6	19	13,4	17,5
34,3	20,3	36,7	19,6
29,3	18,1	-2,4	25
28,8	22,4	19,2	13,3
27,3	13,3	45,4	21,7
25,9	30	5,8	23,3
35,6	2,8	32	16,3
27,4	25,1	7,6	16,6
21,1	14,4	12,6	23,2
30,2	36,9	32,4	21,2
27,6	15,1	20,7	20,2
24,6	10,5	9,1	17,1
26,9	16,2	34,4	15
21,1	19,3	2,7	20,6
19,9	22,4	38,7	17,6
25,5	18,3	3,5	18,2
23,7	15,2	26,6	24,5
14,6	15,7	25,4	14,5




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7431&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7431&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Textiel , kleding )0.1704496944320620.0391972489546273
tau( Textiel , leer )0.1149819623989040.163451212423651
tau( Textiel , vervaardiging )0.1440206934393460.0816861066720644
tau( kleding , leer )0.1492412427497060.0706016873517348
tau( kleding , vervaardiging )0.1295026205256140.117619928086669
tau( leer , vervaardiging )0.1134179436968810.169769120281041

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Textiel , kleding ) & 0.170449694432062 & 0.0391972489546273 \tabularnewline
tau( Textiel , leer ) & 0.114981962398904 & 0.163451212423651 \tabularnewline
tau( Textiel , vervaardiging ) & 0.144020693439346 & 0.0816861066720644 \tabularnewline
tau( kleding , leer ) & 0.149241242749706 & 0.0706016873517348 \tabularnewline
tau( kleding , vervaardiging ) & 0.129502620525614 & 0.117619928086669 \tabularnewline
tau( leer , vervaardiging ) & 0.113417943696881 & 0.169769120281041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7431&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( Textiel , kleding )[/C][C]0.170449694432062[/C][C]0.0391972489546273[/C][/ROW]
[ROW][C]tau( Textiel , leer )[/C][C]0.114981962398904[/C][C]0.163451212423651[/C][/ROW]
[ROW][C]tau( Textiel , vervaardiging )[/C][C]0.144020693439346[/C][C]0.0816861066720644[/C][/ROW]
[ROW][C]tau( kleding , leer )[/C][C]0.149241242749706[/C][C]0.0706016873517348[/C][/ROW]
[ROW][C]tau( kleding , vervaardiging )[/C][C]0.129502620525614[/C][C]0.117619928086669[/C][/ROW]
[ROW][C]tau( leer , vervaardiging )[/C][C]0.113417943696881[/C][C]0.169769120281041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7431&T=1

As an alternative you can also use a 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( Textiel , kleding )0.1704496944320620.0391972489546273
tau( Textiel , leer )0.1149819623989040.163451212423651
tau( Textiel , vervaardiging )0.1440206934393460.0816861066720644
tau( kleding , leer )0.1492412427497060.0706016873517348
tau( kleding , vervaardiging )0.1295026205256140.117619928086669
tau( leer , vervaardiging )0.1134179436968810.169769120281041



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')