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verband tussen invoer en productie

*The author of this computation has been verified*

R Software Module: rwasp_pairs.wasp (opens new window with default values)

Title produced by software: Kendall tau Correlation Matrix

Date of computation: Wed, 17 Dec 2008 12:07:06 -0700

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/17/t12295418073zbyqrk8hwlgk7x.htm/, Retrieved Wed, 17 Dec 2008 20:23:27 +0100

BibTeX entries for LaTeX users:

@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Dec/17/t12295418073zbyqrk8hwlgk7x.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

101,3 99,2 99,9 124,9 1487,6 102 93,6 98,6 132 1320,9 109,2 104,2 107,2 151,4 1514 88,6 95,3 95,7 108,9 1290,9 94,3 102,7 93,7 121,3 1392,5 98,3 103,1 106,7 123,4 1288,2 86,4 100 86,7 90,3 1304,4 80,6 107,2 95,3 79,3 1297,8 104,1 107 99,3 117,2 1211 108,2 119 101,8 116,9 1454 93,4 110,4 96 120,8 1405,7 71,9 101,7 91,7 96,1 1160,8 94,1 102,4 95,3 100,8 1492,1 94,9 98,8 96,6 105,3 1263 96,4 105,6 107,2 116,1 1376,3 91,1 104,4 108 112,8 1368,6 84,4 106,3 98,4 114,5 1427,6 86,4 107,2 103,1 117,2 1339,8 88 108,5 81,1 77,1 1248,3 75,1 106,9 96,6 80,1 1309,8 109,7 114,2 103,7 120,3 1424 103 125,9 106,6 133,4 1590,5 82,1 110,6 97,6 109,4 1423,1 68 110,5 87,6 93,2 1355,3 96,4 106,7 99,4 91,2 1515 94,3 104,7 98,5 99,2 1385,6 90 107,4 105,2 108,2 1430 88 109,8 104,6 101,5 1494,2 76,1 103,4 97,5 106,9 1580,9 82,5 114,8 108,9 104,4 1369,8 81,4 114,3 86,8 77,9 1407,5 66,5 109,6 88,9 60 1388,3 97,2 118,3 110,3 99,5 1478,5 94,1 127,3 114,8 95 1630,4 80,7 112,3 94,6 105,6 1413,5 70,5 114,9 92 102,5 1493,8 87,8 108,2 93,8 93,3 1641,3 89,5 105,4 93,8 97,3 1465 99,6 122,1 107,6 127 1725,1 84,2 113,5 101 111,7 1628,4 75,1 110 95,4 96,4 1679,8 92 125,3 96,5 133 1876 80,8 114,3 89,2 72,2 1669,4 73,1 115,6 87,1 95,8 1712,4 99,8 127,1 110,5 124,1 1768,8 90 123 110,8 127,6 1820,5 83,1 122,2 104,2 110,7 1776,2 72,4 126,4 88,9 104,6 1693,7 78,8 112,7 89,8 112,7 1799,1 87,3 105,8 90 115,3 1917,5 91 120,9 93,9 139,4 1887,2 80,1 116,3 91,3 119 1787,8 73,6 115,7 87,8 97,4 1803,8 86,4 127,9 99,7 154 2196,4 74,5 108,3 73,5 81,5 1759,5 71,2 121,1 79,2 88,8 2002,6 92,4 128,6 96,9 127,7 2056,8 81,5 123,1 95,2 105,1 1851,1 85,3 127,7 95,6 114,9 1984,3 69,9 126,6 89,7 106,4 1725,3 84,2 118,4 92,8 104,5 2096,6 90,7 110 88 121,6 1792,2 100,3 129,6 101,1 141,4 2029,9 79,4 115,8 92,7 99 1785,3 84,8 125,9 95,8 126,7 2026,5 92,9 128,4 103,8 134,1 1930,8 81,6 114 81,8 81,3 1845,5 76 125,6 87,1 88,6 1943,1 98,7 128,5 105,9 132,7 2066,8 89,1 136,6 108,1 132,9 2354,4 88,7 133,1 102,6 134,4 2190,7 67,1 124,6 93,7 103,7 1929,6

Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( textiel , voeding )	-0.0690467327952215	0.392148448686921
tau( textiel , metallurgie )	0.465162004090261	8.32320301569212e-09
tau( textiel , transportmiddelen )	0.417565833232011	2.24347258104274e-07
tau( textiel , Azië )	-0.07683276224379	0.340628305900179
tau( voeding , metallurgie )	0.0827288909981918	0.304959302050207
tau( voeding , transportmiddelen )	0.192285132060077	0.016985876670794
tau( voeding , Azië )	0.577134084551809	7.73159314348959e-13
tau( metallurgie , transportmiddelen )	0.408307492154464	4.0647914323344e-07
tau( metallurgie , Azië )	-0.0262488003866276	0.74462826800414
tau( transportmiddelen , Azië )	0.222657018544735	0.00567342188527964

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t12295418073zbyqrk8hwlgk7x/1ao4p1229540822.png (open in new window)

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t12295418073zbyqrk8hwlgk7x/1ao4p1229540822.ps (open in new window)

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')

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

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