R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(-10.513,-8.513,-17.783,-12.875,-18.691,-18.053,-20.961,-29.323,-44.139,-42.139,-42.777,-36.685,-39.323,-43.047,-42.593,-49.409,-47.139,-27.145,-25.691,-20.967,-15.605,-19.513,-14.059,-2.427,7.205,30.285,56.003,20.107,13.475,10.205,10.205,2.751,6.751,5.659,24.291,11.021,10.021,11.021,11.929,24.015,32.923,36.193,37.463,29.285,28.739,30.739,38.009,28.831,24.107,49.641,30.831,23.469,16.745,20.291,20.199,25.561,26.015,14.475,16.837,12.475,18.383,29.469,26.015,30.469,28.015,31.561,21.291,21.291,33.739,34.285,31.831,25.015,18.561,18.653,18.561,21.745,10.659,6.659,15.837,8.113,9.475,7.659,8.113,-7.973,-5.519,-13.243,-16.789,26.469,-4.611,-7.881,-7.427,-26.059,-10.789,-12.789,-12.881,-20.151,-21.605,-27.421,-31.059,-33.875,-33.967,-42.237,-45.145,-36.513,-24.243,-29.151,-16.519,-11.703,-4.703,18.377,38.641,50.273,61.635,65.905,61.997,57.997,58.543,62.089,55.273,46.641,47.641)
> par2 = '36'
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/www/html/rcomp/tmp/1nx041257419026.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/28r611257419026.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/3nanc1257419026.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/48c7s1257419026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(x)
> qqline(x)
> grid()
> dev.off()
null device 
          1 
> if (par2 > 0)
+ {
+ postscript(file="/var/www/html/rcomp/tmp/5iose1257419026.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='Lag plot (k=1), lowess, and regression line')
+ lines(lowess(z))
+ abline(lm(z))
+ dev.off()
+ if (par2 > 1) {
+ postscript(file="/var/www/html/rcomp/tmp/6bb7s1257419026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ dum <- cbind(lag(x,k=par2),x)
+ dum
+ dum1 <- dum[(par2+1):length(x),]
+ dum1
+ z <- as.data.frame(dum1)
+ z
+ mylagtitle <- 'Lag plot (k='
+ mylagtitle <- paste(mylagtitle,par2,sep='')
+ mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
+ plot(z,main=mylagtitle)
+ lines(lowess(z))
+ dev.off()
+ }
+ postscript(file="/var/www/html/rcomp/tmp/7di3t1257419026.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. 
-49.410 -16.790  10.200   6.372  26.470  65.900 
> 
> #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/8msa91257419027.tab") 
> 
> system("convert tmp/1nx041257419026.ps tmp/1nx041257419026.png")
> system("convert tmp/28r611257419026.ps tmp/28r611257419026.png")
> system("convert tmp/3nanc1257419026.ps tmp/3nanc1257419026.png")
> system("convert tmp/48c7s1257419026.ps tmp/48c7s1257419026.png")
> system("convert tmp/5iose1257419026.ps tmp/5iose1257419026.png")
> system("convert tmp/6bb7s1257419026.ps tmp/6bb7s1257419026.png")
> system("convert tmp/7di3t1257419026.ps tmp/7di3t1257419026.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.467   1.044   3.310