R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(106.7,100.6,101.2,93.1,84.2,85.8,91.8,92.4,80.3,79.7,62.5,57.1,100.8,100.7,86.2,83.2,71.7,77.5,89.8,80.3,78.7,93.8,57.6,60.6,91,85.3,77.4,77.3,68.3,69.9,81.7,75.1,69.9,84,54.3,60,89.9,77,85.3,77.6,69.2,75.5,85.7,72.2,79.9,85.3,52.2,61.2,82.4,85.4,78.2,70.2,70.2,69.3,77.5,66.1,69,75.3,58.2,59.7)
> par1 = '12'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> n <- length(x)
> sx <- sort(x)
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Variance Reduction Matrix',6,TRUE)
> a<-table.row.end(a)
> for (bigd in 0:2) {
+ for (smalld in 0:3) {
+ mylabel <- 'V(Y[t],d='
+ mylabel <- paste(mylabel,as.character(smalld),sep='')
+ mylabel <- paste(mylabel,',D=',sep='')
+ mylabel <- paste(mylabel,as.character(bigd),sep='')
+ mylabel <- paste(mylabel,')',sep='')
+ a<-table.row.start(a)
+ a<-table.element(a,mylabel,header=TRUE)
+ myx <- x
+ if (smalld > 0) myx <- diff(x,lag=1,differences=smalld)
+ if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd)
+ a<-table.element(a,var(myx))
+ a<-table.element(a,'Range',header=TRUE)
+ a<-table.element(a,max(myx)-min(myx))
+ a<-table.element(a,'Trim Var.',header=TRUE)
+ smyx <- sort(myx)
+ sn <- length(smyx)
+ a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)]))
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/1u1ir1196433292.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.538   0.038   1.233