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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 computationThu, 12 Nov 2009 08:08:30 -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/t12580388767xzgwsbbmlh8yer.htm/, Retrieved Sat, 04 May 2024 01:32:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56111, Retrieved Sat, 04 May 2024 01:32:48 +0000
QR Codes:

Original text written by user:Uitleg in Word document
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
- R  D    [Kendall tau Correlation Matrix] [Kendall tau corre...] [2009-11-12 15:08:30] [8eb8270f5a1cfdf0409dcfcbf10be18b] [Current]
-   PD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-25 09:22:47] [1ec36cc0fd92fd0f07d0b885ce2c369b]
-   PD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-25 09:42:33] [1ec36cc0fd92fd0f07d0b885ce2c369b]
- RMPD        [Box-Cox Linearity Plot] [] [2010-12-25 10:30:27] [1ec36cc0fd92fd0f07d0b885ce2c369b]
-   PD      [Kendall tau Correlation Matrix] [] [2010-12-27 13:53:31] [1ec36cc0fd92fd0f07d0b885ce2c369b]
- R PD      [Kendall tau Correlation Matrix] [] [2010-12-28 19:05:34] [adca540665f1dd1a5a4406fd7f55bdf4]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.1	19	96.96	98.13
83.3	22	93.11	98.29
97.7	19	95.62	99.1
100.9	13	98.30	99.26
108.3	12	96.38	98.85
113.2	8	100.82	98.05
105	16	99.06	98.53
104	19	94.03	99.34
109.8	19	102.07	100.14
98.6	24	99.31	100.3
93.5	20	98.64	100.22
98.2	14	101.82	99.9
88	18	99.14	99.58
85.3	14	97.63	99.9
96.8	13	100.06	100.78
98.8	15	101.32	100.78
110.3	19	101.49	100.46
111.6	22	105.43	100.06
111.2	28	105.09	100.28
106.9	28	99.48	100.78
117.6	32	108.53	101.58
97	34	104.34	102.06
97.3	38	106.10	102.02
98.4	44	107.35	101.68
87.6	43	103.00	101.32
87.4	45	104.50	101.81
94.7	48	105.17	102.3
101.5	45	104.84	102.12
110.4	43	106.18	102.1
108.4	46	108.86	101.75
109.7	55	107.77	101.5
105.2	52	102.74	102.16
111.1	51	112.63	103.47
96.2	52	106.26	104.05
97.3	54	108.86	104.09
98.9	58	111.38	103.55
91.7	55	106.85	102.77
90.9	56	107.86	102.89
98.8	39	107.94	103.6
111.5	35	111.38	103.76
119	34	111.29	103.92
115.3	35	113.72	103.35
116.3	38	111.88	103.32
113.6	31	109.87	104.2
115.1	31	113.72	105.44
109.7	28	111.71	105.81
97.6	24	114.81	106.25
100.8	21	112.05	105.94
94	10	111.54	105.82
87.2	14	110.87	105.96
102.9	18	110.87	106.49
111.3	9	115.48	106.32
106.6	7	111.63	105.88
108.9	9	116.24	105.07
108.3	13	113.56	105.12
100.5	11	106.01	106.15
104	7	110.45	107.38
89.9	13	107.77	107.75
86.8	18	108.61	107.87
91.2	17	108.19	107.39

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56111&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56111&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56111&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Ind , Consve )0.01944049329673500.828142336522967
tau( Ind , Best )0.2402266288951840.00683473980181737
tau( Ind , HICP )0.005097706236717710.954216503752968
tau( Consve , Best )0.08462332376225840.344680863143455
tau( Consve , HICP )0.02743763070199460.759246387800058
tau( Best , HICP )0.6247522198999591.97508676080815e-12

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Ind , Consve ) & 0.0194404932967350 & 0.828142336522967 \tabularnewline
tau( Ind , Best ) & 0.240226628895184 & 0.00683473980181737 \tabularnewline
tau( Ind , HICP ) & 0.00509770623671771 & 0.954216503752968 \tabularnewline
tau( Consve , Best ) & 0.0846233237622584 & 0.344680863143455 \tabularnewline
tau( Consve , HICP ) & 0.0274376307019946 & 0.759246387800058 \tabularnewline
tau( Best , HICP ) & 0.624752219899959 & 1.97508676080815e-12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56111&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( Ind , Consve )[/C][C]0.0194404932967350[/C][C]0.828142336522967[/C][/ROW]
[ROW][C]tau( Ind , Best )[/C][C]0.240226628895184[/C][C]0.00683473980181737[/C][/ROW]
[ROW][C]tau( Ind , HICP )[/C][C]0.00509770623671771[/C][C]0.954216503752968[/C][/ROW]
[ROW][C]tau( Consve , Best )[/C][C]0.0846233237622584[/C][C]0.344680863143455[/C][/ROW]
[ROW][C]tau( Consve , HICP )[/C][C]0.0274376307019946[/C][C]0.759246387800058[/C][/ROW]
[ROW][C]tau( Best , HICP )[/C][C]0.624752219899959[/C][C]1.97508676080815e-12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56111&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56111&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( Ind , Consve )0.01944049329673500.828142336522967
tau( Ind , Best )0.2402266288951840.00683473980181737
tau( Ind , HICP )0.005097706236717710.954216503752968
tau( Consve , Best )0.08462332376225840.344680863143455
tau( Consve , HICP )0.02743763070199460.759246387800058
tau( Best , HICP )0.6247522198999591.97508676080815e-12


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')