R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.014528048,0.021130626,0.016974689,0.016504007,0.016498994,0.011804032,0.017937679,0.018759182,0.019264641,0.019065311,0.019611934,0.024481881,0.017195056,0.01988401,0.024390244,0.024270469,0.031707032,0.022259911,0.023472993,0.02290426,0.019792991,0.020666599,0.017327686,0.020269633,0.018230409,0.023452381,0.024904215,0.023965737,0.024911392,0.023982869,0.032753327,0.027238679,0.02769316,0.022424863,0.022246659,0.026666667,0.019599069,0.024353771,0.023429351,0.023402264,0.023265687,0.029928558,0.023909857,0.022228898,0.027245773,0.025997874,0.024772851,0.034406439,0.027787674,0.028015335,0.033544304,0.03020641,0.033783128,0.032443905,0.037974684,0.033363971,0.028433631,0.035539803,0.030115895,0.032624369,0.024533588,0.025466228,0.036215817,0.02896207,0.037869404,0.033836799,0.040575673,0.048289529,0.042517716,0.05335097,0.049046322,0.063322801,0.0376363)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = '36'
> par1 = '0'
> ylab = ''
> xlab = ''
> main = ''
> #'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/15jv71229983975.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/2s9z81229983975.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/3vp1j1229983975.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/4ysph1229983975.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/5mvro1229983975.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/63nbi1229983975.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. 
0.01180 0.02113 0.02453 0.02722 0.03244 0.06332 
> 
> #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/7u23w1229983975.tab") 
> 
> system("convert tmp/15jv71229983975.ps tmp/15jv71229983975.png")
> system("convert tmp/2s9z81229983975.ps tmp/2s9z81229983975.png")
> system("convert tmp/3vp1j1229983975.ps tmp/3vp1j1229983975.png")
> system("convert tmp/4ysph1229983975.ps tmp/4ysph1229983975.png")
> system("convert tmp/5mvro1229983975.ps tmp/5mvro1229983975.png")
> system("convert tmp/63nbi1229983975.ps tmp/63nbi1229983975.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.362   0.891   1.590