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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 computationThu, 12 Nov 2009 01:49:26 -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/2009/Nov/12/t1258015862g9mx1vvye45rkif.htm/, Retrieved Sat, 04 May 2024 02:51:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55889, Retrieved Sat, 04 May 2024 02:51:06 +0000
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Original text written by user:BEES: Bankruptcies related to enterprises (excl. Sole proprietorships) PBIS: Personal bankruptcies (incl. Sole proprietorships) PIMI: Production in the manufacturing industry TUPR: Total unemployed persons registered at the Unemployment Office
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendell Tau corre...] [2009-11-12 08:49:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
100,0	100,0	100,0	100,0
88,4	102,3	100,6	95,3
92,7	141,1	114,2	90,7
71,3	111,6	91,5	88,4
64,4	118,6	94,7	86,0
94,9	125,6	110,6	86,0
70,9	81,4	71,3	95,3
69,5	102,3	104,1	95,3
77,5	96,9	112,3	88,4
80,0	93,8	110,2	86,0
89,8	101,6	112,9	81,4
76,7	75,2	95,1	83,7
76,4	102,3	103,1	95,3
80,0	139,5	101,9	88,4
77,1	109,3	100,4	86,0
69,5	125,6	106,9	83,7
65,5	118,6	100,7	76,7
70,9	100,8	114,3	79,1
49,5	60,5	73,3	86,0
71,3	72,9	105,9	86,0
66,2	64,3	113,9	79,1
60,4	62,0	112,1	76,7
53,5	72,9	117,5	69,8
45,5	41,1	97,5	69,8
59,6	68,2	112,3	76,7
61,8	87,6	106,9	69,8
62,2	107,8	120,9	67,4
50,9	55,8	92,7	65,1
56,4	58,1	110,9	58,1
56,7	70,5	116,5	60,5
51,3	53,5	77,1	65,1
60,7	55,0	113,1	62,8
62,2	70,5	115,9	55,8
74,9	72,9	123,5	51,2
68,0	73,6	123,6	48,8
45,1	63,6	101,5	48,8
59,3	83,7	121,0	53,5
56,0	79,1	112,2	48,8
82,2	99,2	126,0	46,5
45,5	59,7	101,8	44,2
58,9	76,0	117,9	39,5
52,7	65,1	122,2	41,9
35,6	44,2	82,7	48,8
46,5	54,3	120,5	46,5
57,8	55,0	120,3	41,9
76,0	58,9	134,2	39,5
54,5	60,5	128,2	37,2
45,5	40,3	100,5	37,2
77,8	48,8	126,0	41,9
70,2	53,5	122,9	39,5
50,9	57,4	106,1	39,5
74,5	79,1	130,4	34,9
69,8	69,0	121,3	34,9
69,8	73,6	126,1	34,9
67,6	60,5	88,7	41,9
54,5	62,0	118,7	41,9
89,5	72,9	129,3	39,5
102,5	99,2	136,2	39,5
96,0	62,8	123,0	41,9
122,2	65,1	103,5	46,5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55889&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55889&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( BEES , PBIS )0.4225854833560402.24900262479899e-06
tau( BEES , PIMI )0.1463418400789110.0997646046717704
tau( BEES , TUPR )0.2178202349733890.0161833077427027
tau( PBIS , PIMI )-0.04267487665109320.632204268815743
tau( PBIS , TUPR )0.3945866221971161.40000445960631e-05
tau( PIMI , TUPR )-0.4467911027853397.69385307066118e-07

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( BEES , PBIS ) & 0.422585483356040 & 2.24900262479899e-06 \tabularnewline
tau( BEES , PIMI ) & 0.146341840078911 & 0.0997646046717704 \tabularnewline
tau( BEES , TUPR ) & 0.217820234973389 & 0.0161833077427027 \tabularnewline
tau( PBIS , PIMI ) & -0.0426748766510932 & 0.632204268815743 \tabularnewline
tau( PBIS , TUPR ) & 0.394586622197116 & 1.40000445960631e-05 \tabularnewline
tau( PIMI , TUPR ) & -0.446791102785339 & 7.69385307066118e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55889&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( BEES , PBIS )[/C][C]0.422585483356040[/C][C]2.24900262479899e-06[/C][/ROW]
[ROW][C]tau( BEES , PIMI )[/C][C]0.146341840078911[/C][C]0.0997646046717704[/C][/ROW]
[ROW][C]tau( BEES , TUPR )[/C][C]0.217820234973389[/C][C]0.0161833077427027[/C][/ROW]
[ROW][C]tau( PBIS , PIMI )[/C][C]-0.0426748766510932[/C][C]0.632204268815743[/C][/ROW]
[ROW][C]tau( PBIS , TUPR )[/C][C]0.394586622197116[/C][C]1.40000445960631e-05[/C][/ROW]
[ROW][C]tau( PIMI , TUPR )[/C][C]-0.446791102785339[/C][C]7.69385307066118e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55889&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( BEES , PBIS )0.4225854833560402.24900262479899e-06
tau( BEES , PIMI )0.1463418400789110.0997646046717704
tau( BEES , TUPR )0.2178202349733890.0161833077427027
tau( PBIS , PIMI )-0.04267487665109320.632204268815743
tau( PBIS , TUPR )0.3945866221971161.40000445960631e-05
tau( PIMI , TUPR )-0.4467911027853397.69385307066118e-07



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')