R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502,516,528,533,536,537,524,536,587,597,581,564)
> 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)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> 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/1qkya1259834026.tab") 
> 
> 
> proc.time()
   user  system elapsed 
  0.212   0.033   0.250