R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(7.4,7.2,7.1,6.9,6.8,6.8,6.8,6.9,6.7,6.6,6.5,6.4,6.3,6.3,6.3,6.5,6.6,6.5,6.4,6.5,6.7,7.1,7.1,7.2,7.2,7.3,7.3,7.3,7.3,7.4,7.6,7.6,7.6,7.7,7.8,7.9,8.1,8.1,8.1,8.2,8.2,8.2,8.2,8.2,8.2,8.3,8.3,8.4,8.4,8.4,8.3,8.0,8.0,8.2,8.6,8.7,8.7,8.5,8.4,8.4,8.4,8.5,8.5,8.5,8.5,8.5,8.4,8.4,8.4,8.5,8.6,8.6,8.6,8.6,8.5,8.4,8.4,8.3,8.2,8.1,8.2,8.1,8.0,7.9,7.8,7.7,7.7,7.9,7.8,7.6,7.4,7.3,7.1,7.1,7.0,7.0,7.0,6.9,6.8,6.7,6.6,6.6)
> par2 = '12'
> 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/1sg5g1225144364.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/2v9xr1225144364.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/3v7wb1225144364.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/495zb1225144364.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/5dcve1225144364.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/6r4421225144364.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. 
  6.300   7.025   7.800   7.665   8.375   8.700 
> 
> #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,'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/7iqir1225144365.tab") 
> 
> system("convert tmp/1sg5g1225144364.ps tmp/1sg5g1225144364.png")
> system("convert tmp/2v9xr1225144364.ps tmp/2v9xr1225144364.png")
> system("convert tmp/3v7wb1225144364.ps tmp/3v7wb1225144364.png")
> system("convert tmp/495zb1225144364.ps tmp/495zb1225144364.png")
> system("convert tmp/5dcve1225144364.ps tmp/5dcve1225144364.png")
> system("convert tmp/6r4421225144364.ps tmp/6r4421225144364.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.481   0.873   1.794