R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.117354396717212
+ ,0.118845681032272
+ ,0.112391885267935
+ ,0.111306414892192
+ ,0.111557866161293
+ ,0.115874513020299
+ ,0.120518600028397
+ ,0.127937652516104
+ ,0.11613316666403
+ ,0.109945475878252
+ ,0.116553866162416
+ ,0.116068157652546
+ ,0.113370026071156
+ ,0.123182199760877
+ ,0.111632647202366
+ ,0.109758101752217
+ ,0.105238647621144
+ ,0.110567657536647
+ ,0.109445829081846
+ ,0.115565377944385
+ ,0.109040168162481
+ ,0.118699838338174
+ ,0.115706070657763
+ ,0.103330532839008
+ ,0.114086556139986
+ ,0.111186708004422
+ ,0.108409409523554
+ ,0.101131998751098
+ ,0.101340239460215
+ ,0.101132392401369
+ ,0.103330089281936
+ ,0.112997274264224
+ ,0.101388063209412
+ ,0.0954252014189293
+ ,0.111307936120104
+ ,0.108517581966327
+ ,0.113117723156533
+ ,0.12234246171967
+ ,0.116281802327739
+ ,0.092816312987346
+ ,0.0954083259281368
+ ,0.0983760049075001
+ ,0.100589152001216
+ ,0.104522549361392
+ ,0.0998363447670241
+ ,0.0959721467215449
+ ,0.097031371532279
+ ,0.093072585629373
+ ,0.100082898456186
+ ,0.100416078984485
+ ,0.10057893372505
+ ,0.0940357410855729
+ ,0.0902738332694873
+ ,0.0956823578799632
+ ,0.103656114777059
+ ,0.111759459418603
+ ,0.10108471855862
+ ,0.0980399013830847
+ ,0.0975611265478894
+ ,0.0955190702462385)
> 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/1s7g81225746890.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/2h8q81225746890.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/3558d1225746890.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/4pp991225746890.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/5882o1225746890.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/6k1x21225746890.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. 
0.09027 0.10030 0.10880 0.10710 0.11350 0.12790 
> 
> #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/741t11225746890.tab") 
> 
> system("convert tmp/1s7g81225746890.ps tmp/1s7g81225746890.png")
> system("convert tmp/2h8q81225746890.ps tmp/2h8q81225746890.png")
> system("convert tmp/3558d1225746890.ps tmp/3558d1225746890.png")
> system("convert tmp/4pp991225746890.ps tmp/4pp991225746890.png")
> system("convert tmp/5882o1225746890.ps tmp/5882o1225746890.png")
> system("convert tmp/6k1x21225746890.ps tmp/6k1x21225746890.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.821   1.489   3.063