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bouwvergunning van woongebouwen van zowel Belgiė als de gewesten

*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: Thu, 12 Nov 2009 10:04:22 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/12/t12580455424i7ki4yngt1qox9.htm/, Retrieved Thu, 12 Nov 2009 18:05:44 +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/2009/Nov/12/t12580455424i7ki4yngt1qox9.htm/},
    year = {2009},
}
@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 = {2009},
    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:
bouwvergunningen, woongebouwen, Belgiė, Vlaanderen, Walloniė, Brussel
 
Dataseries X:
» Textbox « » Textfile « » CSV «
5560 4085 1209 266 3922 2686 1036 200 3759 2545 1084 130 4138 3071 926 141 4634 3388 1083 163 3996 2652 912 432 4308 3190 910 208 4143 2885 886 372 4429 3295 948 186 5219 3818 1134 267 4929 3226 1226 477 5755 3953 1516 286 5592 3810 1491 291 4163 2877 1086 200 4962 3515 1274 173 5208 3708 1164 336 4755 3450 1205 100 4491 3360 966 165 5732 4110 1462 160 5731 4385 1134 212 5040 3729 1157 154 6102 4309 1676 117 4904 3506 1168 230 5369 3690 1492 187 5578 3911 1413 254 4619 2952 1287 380 4731 3324 1206 201 5011 3417 1054 540 5299 3498 1237 564 4146 2770 1070 306 4625 2907 1264 454 4736 3179 1319 238 4219 3014 1095 110 5116 3483 1497 136 4205 3016 1136 53 4121 2617 1343 161 5103 3534 1343 226 4300 2849 1283 168 4578 3129 1307 142 3809 2578 913 318 5526 3626 1396 504 4247 2813 1186 248 3830 2591 1021 218 4394 2890 1250 254 4826 3369 1248 209 4409 2926 1305 178 4569 3016 1511 42 4106 2878 1103 124 4794 3198 1322 274 3914 2560 1153 201 3793 2573 1096 125 4405 3121 110 etc...
 
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 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( Belgė , VL )0.8280951388791120
tau( Belgė , Wal )0.4450520074715164.07011802705526e-07
tau( Belgė , Brus )0.1323851995851300.132051255770804
tau( VL , Wal )0.3429040325084079.5403480201206e-05
tau( VL , Brus )0.05198360164205450.554363567914102
tau( Wal , Brus )-0.09195403676262190.295759116696137
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/12/t12580455424i7ki4yngt1qox9/1n95k1258045461.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/12/t12580455424i7ki4yngt1qox9/1n95k1258045461.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')
 





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