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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 09:56:23 -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/t1258045168j41s62uctw92rrx.htm/, Retrieved Fri, 03 May 2024 21:33:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56228, Retrieved Fri, 03 May 2024 21:33:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Back to Back Histogram] [3/11/2009] [2009-11-02 21:58:53] [b98453cac15ba1066b407e146608df68]
- RM D    [Kendall tau Correlation Matrix] [] [2009-11-12 16:56:23] [429631dabc57c2ce83a6344a979b9063] [Current]
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Dataseries X:
115.6	98.2	9.3	37.2
111.9	98.71	8.7	37.2
107	98.54	8.2	34.7
107.1	98.2	8.3	32.5
100.6	96.92	8.5	33.5
99.2	99.06	8.6	31.5
108.4	99.65	8.5	31.2
103	99.82	8.2	27
99.8	99.99	8.1	26.7
115	100.33	7.9	26.5
90.8	99.31	8.6	26
95.9	101.1	8.7	27.2
114.4	101.1	8.7	30.5
108.2	100.93	8.5	33.7
112.6	100.85	8.4	34.2
109.1	100.93	8.5	36.7
105	99.6	8.7	36.2
105	101.88	8.7	38.5
118.5	101.81	8.6	40
103.7	102.38	8.5	42.5
112.5	102.74	8.3	43.5
116.6	102.82	8	43.3
96.6	101.72	8.2	45.5
101.9	103.47	8.1	44.3
116.5	102.98	8.1	43
119.3	102.68	8	43.5
115.4	102.9	7.9	41.5
108.5	103.03	7.9	42.5
111.5	101.29	8	41.3
108.8	103.69	8	39.5
121.8	103.68	7.9	38.5
109.6	104.2	8	41
112.2	104.08	7.7	44.5
119.6	104.16	7.2	46
104.1	103.05	7.5	44
105.3	104.66	7.3	41.5
115	104.46	7	41.3
124.1	104.95	7	38
116.8	105.85	7	38
107.5	106.23	7.2	36.2
115.6	104.86	7.3	38.7
116.2	107.44	7.1	38.7
116.3	108.23	6.8	39.2
119	108.45	6.4	35.7
111.9	109.39	6.1	36.5
118.6	110.15	6.5	36.7
106.9	109.13	7.7	34.7
103.2	110.28	7.9	35
118.6	110.17	7.5	28.2
118.7	109.99	6.9	23.7
102.8	109.26	6.6	15
100.6	109.11	6.9	8.7
94.9	107.06	7.7	11
94.5	109.53	8	7.5
102.9	108.92	8	5.7
95.3	109.24	7.7	9.3
92.5	109.12	7.3	10.2
102.7	109	7.4	15.7
91.5	107.23	8.1	18.1
89.5	109.49	8.3	20.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56228&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]2 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=56228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56228&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Ipzb , Hicp )0.03228548319045120.716150462186322
tau( Ipzb , Agw )-0.2062461654216440.0227876566097807
tau( Ipzb , Cvn )0.3457284208583360.000102119946021606
tau( Hicp , Agw )-0.580008852330741.47038413824175e-10
tau( Hicp , Cvn )-0.1293253470464790.145785214799550
tau( Agw , Cvn )0.005221493779151480.95409144961622

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Ipzb , Hicp ) & 0.0322854831904512 & 0.716150462186322 \tabularnewline
tau( Ipzb , Agw ) & -0.206246165421644 & 0.0227876566097807 \tabularnewline
tau( Ipzb , Cvn ) & 0.345728420858336 & 0.000102119946021606 \tabularnewline
tau( Hicp , Agw ) & -0.58000885233074 & 1.47038413824175e-10 \tabularnewline
tau( Hicp , Cvn ) & -0.129325347046479 & 0.145785214799550 \tabularnewline
tau( Agw , Cvn ) & 0.00522149377915148 & 0.95409144961622 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56228&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( Ipzb , Hicp )[/C][C]0.0322854831904512[/C][C]0.716150462186322[/C][/ROW]
[ROW][C]tau( Ipzb , Agw )[/C][C]-0.206246165421644[/C][C]0.0227876566097807[/C][/ROW]
[ROW][C]tau( Ipzb , Cvn )[/C][C]0.345728420858336[/C][C]0.000102119946021606[/C][/ROW]
[ROW][C]tau( Hicp , Agw )[/C][C]-0.58000885233074[/C][C]1.47038413824175e-10[/C][/ROW]
[ROW][C]tau( Hicp , Cvn )[/C][C]-0.129325347046479[/C][C]0.145785214799550[/C][/ROW]
[ROW][C]tau( Agw , Cvn )[/C][C]0.00522149377915148[/C][C]0.95409144961622[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56228&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( Ipzb , Hicp )0.03228548319045120.716150462186322
tau( Ipzb , Agw )-0.2062461654216440.0227876566097807
tau( Ipzb , Cvn )0.3457284208583360.000102119946021606
tau( Hicp , Agw )-0.580008852330741.47038413824175e-10
tau( Hicp , Cvn )-0.1293253470464790.145785214799550
tau( Agw , Cvn )0.005221493779151480.95409144961622



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')