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(124.9,132,151.4,108.9,121.3,123.4,90.3,79.3,117.2,116.9,120.8,96.1,100.8,105.3,116.1,112.8,114.5,117.2,77.1,80.1,120.3,133.4,109.4,93.2,91.2,99.2,108.2,101.5,106.9,104.4,77.9,60,99.5,95,105.6,102.5,93.3,97.3,127,111.7,96.4,133,72.2,95.8,124.1,127.6,110.7,104.6,112.7,115.3,139.4,119,97.4,154,81.5,88.8,127.7,105.1,114.9,106.4,104.5,121.6,141.4,99,126.7,134.1,81.3,88.6,132.7,132.9,134.4,103.7,119.7,115,132.9,108.5,113.9,142.9,95.2,93)
> par2 = '0'
> 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/1fp2q1194862793.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/2fm4y1194862793.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/37t7s1194862793.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/4jw131194862793.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/5gyjq1194862793.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/6itqg1194862794.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(x,lag.max=par2,main='Autocorrelation Function')
+ grid()
+ dev.off()
+ }
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  60.00   97.07  109.20  109.90  122.00  154.00 
> 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/7hyhy1194862794.tab") 
> 
> system("convert tmp/1fp2q1194862793.ps tmp/1fp2q1194862793.png")
> system("convert tmp/2fm4y1194862793.ps tmp/2fm4y1194862793.png")
> system("convert tmp/37t7s1194862793.ps tmp/37t7s1194862793.png")
> system("convert tmp/4jw131194862793.ps tmp/4jw131194862793.png")
> system("convert tmp/5gyjq1194862793.ps tmp/5gyjq1194862793.png")
convert: unable to open image `tmp/5gyjq1194862793.ps': No such file or directory.
convert: missing an image filename `tmp/5gyjq1194862793.png'.
> system("convert tmp/6itqg1194862794.ps tmp/6itqg1194862794.png")
convert: unable to open image `tmp/6itqg1194862794.ps': No such file or directory.
convert: missing an image filename `tmp/6itqg1194862794.png'.
> 
> 
> proc.time()
   user  system elapsed 
  1.296   0.633   1.808