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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 08:46:09 -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/t1258040945hguapzy0ddetlx3.htm/, Retrieved Fri, 03 May 2024 18:23:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56159, Retrieved Fri, 03 May 2024 18:23:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

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] [] [2009-11-12 15:46:09] [208e60166df5802f3c494097313a670f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.1	93.3	121.8	49
97	97.3	127.6	40.5
112.7	127	129.9	73.7
102.9	111.7	128	52.6
97.4	96.4	123.5	42
111.4	133	124	51
87.4	72.2	127.4	43.8
96.8	95.8	127.6	44.1
114.1	124.1	128.4	57
110.3	127.6	131.4	56.3
103.9	110.7	135.1	69.7
101.6	104.6	134	72.3
94.6	112.7	144.5	55.1
95.9	115.3	147.3	31.8
104.7	139.4	150.9	54
102.8	119	148.7	66.4
98.1	97.4	141.4	40.8
113.9	154	138.9	58
80.9	81.5	139.8	59.7
95.7	88.8	145.6	49.7
113.2	127.7	147.9	94.3
105.9	105.1	148.5	59.4
108.8	114.9	151.1	94.6
102.3	106.4	157.5	94.8
99	104.5	167.5	71.7
100.7	121.6	172.3	71.4
115.5	141.4	173.5	68.6
100.7	99	187.5	52.9
109.9	126.7	205.5	85.9
114.6	134.1	195.1	73.9
85.4	81.3	204.5	52.4
100.5	88.6	204.5	51.6
114.8	132.7	201.7	70.4
116.5	132.9	207	64.1
112.9	134.4	206.6	68.4
102	103.7	210.6	74.9
106	119.7	211.1	70.7
105.3	115	215	43.2
118.8	132.9	223.9	62.1
106.1	108.5	238.2	34.1
109.3	113.9	238.9	33.9
117.2	142	229.6	43
92.5	97.7	232.2	45.6
104.2	92.2	222.1	39.7
112.5	128.8	221.6	36.2
122.4	134.9	227.3	81.1
113.3	128.2	221	55
100	114.8	213.6	102
110.7	117.9	243.4	31.9
112.8	119.1	253.8	37.5
109.8	120.7	265.3	43.6
117.3	129.1	268.2	34
109.1	117.6	268.5	32
115.9	129.2	266.9	52.6
96	100	268.4	36.8
99.8	87	250.8	59.3
116.8	128	231.2	38.8
115.7	127.7	192	52
99.4	93.4	171.4	32.2
94.3	84.1	160	132.2
91	71.7	148.1	25.4

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56159&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56159&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56159&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'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( IPtot , IPtran )0.6994804746064631.77635683940025e-15
tau( IPtot , IGpci )0.2696199171078860.00215442458222315
tau( IPtot , IVtran )0.08310552214324770.344189565811711
tau( IPtran , IGpci )0.1695842450765860.0536994729961668
tau( IPtran , IVtran )0.1241454790740160.157748754441587
tau( IGpci , IVtran )-0.1383647850472520.115374477061227

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( IPtot , IPtran ) & 0.699480474606463 & 1.77635683940025e-15 \tabularnewline
tau( IPtot , IGpci ) & 0.269619917107886 & 0.00215442458222315 \tabularnewline
tau( IPtot , IVtran ) & 0.0831055221432477 & 0.344189565811711 \tabularnewline
tau( IPtran , IGpci ) & 0.169584245076586 & 0.0536994729961668 \tabularnewline
tau( IPtran , IVtran ) & 0.124145479074016 & 0.157748754441587 \tabularnewline
tau( IGpci , IVtran ) & -0.138364785047252 & 0.115374477061227 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56159&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( IPtot , IPtran )[/C][C]0.699480474606463[/C][C]1.77635683940025e-15[/C][/ROW]
[ROW][C]tau( IPtot , IGpci )[/C][C]0.269619917107886[/C][C]0.00215442458222315[/C][/ROW]
[ROW][C]tau( IPtot , IVtran )[/C][C]0.0831055221432477[/C][C]0.344189565811711[/C][/ROW]
[ROW][C]tau( IPtran , IGpci )[/C][C]0.169584245076586[/C][C]0.0536994729961668[/C][/ROW]
[ROW][C]tau( IPtran , IVtran )[/C][C]0.124145479074016[/C][C]0.157748754441587[/C][/ROW]
[ROW][C]tau( IGpci , IVtran )[/C][C]-0.138364785047252[/C][C]0.115374477061227[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56159&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56159&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( IPtot , IPtran )0.6994804746064631.77635683940025e-15
tau( IPtot , IGpci )0.2696199171078860.00215442458222315
tau( IPtot , IVtran )0.08310552214324770.344189565811711
tau( IPtran , IGpci )0.1695842450765860.0536994729961668
tau( IPtran , IVtran )0.1241454790740160.157748754441587
tau( IGpci , IVtran )-0.1383647850472520.115374477061227


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')