R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.0963998702089473,3.68776849361799,-2.21255748827435,-7.20539944007456,-7.023891220501,-7.61148340355811,-3.99320973953091,6.89080433018175,4.29343380939718,7.62272567916079,-11.6843627244492,-0.535869903617174,4.04039602192003,2.32019809603990,9.33968250429729,-2.53778924222572,-1.01815086767597,12.8776109208021,-8.42487576488816,2.83410372215247,-0.471503171874632,-4.91856672164707,7.16052036556875,6.998877306551,1.22749287747846,1.66434155208273,-4.36846797387122,-2.09547670954011,4.81586323198283,-4.48888699863318,-8.48643331579231,2.89866303275703,5.27231601243985,-2.56938765772798,2.36292159333768,-6.05726375617971,4.66991235080987,0.262121137580347,5.3112374408186,-7.91592347989297,6.18741413248122,0.747779670353935,-1.40792915135314,4.52258059154915,0.456098235973329,13.4046188187457,4.19387306989446,2.69556495773171,8.39583369915604,4.06972911185789,1.66853211858185,1.26029425179894,-1.31856162906204,3.42176579549080,4.38702403425957,3.14027069254159)
> par2 = '36'
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Univariate Explorative Data Analysis (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_edauni.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/www/html/rcomp/tmp/194ja1198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2uosy1198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(x)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3ci3l1198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~x,col='black',main='Density Plot')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4pjp11198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> grid()
> dev.off()
null device 
          1 
> if (par2 > 0)
+ {
+ postscript(file="/var/www/html/rcomp/tmp/553qp1198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=1),x)
+ dum
+ dum1 <- dum[2:length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ plot(z,main=paste('Lag plot, lowess, and regression line'))
+ lines(lowess(z))
+ abline(lm(z))
+ dev.off()
+ postscript(file="/var/www/html/rcomp/tmp/61qwp1198175022.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(x,lag.max=par2,main='Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
-11.680  -2.294   1.666   1.051   4.421  13.400 
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'minimum',header=TRUE)
> a<-table.element(a,min(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,quantile(x,0.25))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,quantile(x,0.75))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'maximum',header=TRUE)
> a<-table.element(a,max(x))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/7ixwh1198175023.tab") 
> 
> system("convert tmp/194ja1198175022.ps tmp/194ja1198175022.png")
> system("convert tmp/2uosy1198175022.ps tmp/2uosy1198175022.png")
> system("convert tmp/3ci3l1198175022.ps tmp/3ci3l1198175022.png")
> system("convert tmp/4pjp11198175022.ps tmp/4pjp11198175022.png")
> system("convert tmp/553qp1198175022.ps tmp/553qp1198175022.png")
> system("convert tmp/61qwp1198175022.ps tmp/61qwp1198175022.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.782   1.473   2.999