R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(15.73,16.17,12.00,12.86,10.30,12.97,12.06,10.49,5.97,9.26,9.74,5.46,2.71,3.90,1.51,5.01,2.96,-1.97,-4.61,4.27,4.01,0.04,3.04,2.29,4.37,6.39,5.74,7.64,7.07,6.23,10.20,14.07,12.83,12.04,11.97,12.63,13.56,15.66,16.34,14.09,15.03,16.09,19.27,22.50,16.07,19.11,18.66,18.29,20.26,19.20,20.10,17.93,16.11,16.90,16.14,15.04,13.41,14.14,9.59,10.74,11.67,8.09,10.07,11.80,12.01,6.61,6.47,-3.11,1.94,1.10,-3.40,1.64,3.11,-0.16,3.80,-2.39,1.51,7.24,2.00,2.11,10.54,11.10,7.34,9.53,9.71,10.14,13.93,8.33,8.31,13.83,14.50,16.71,16.49,14.57,19.04,22.84,22.23,19.56,19.76,18.36,16.99,16.87,18.50,16.51)
> par2 = '2'
> par1 = '0'
> par2 = 52
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> library(lattice)
> postscript(file="/var/www/rcomp/tmp/1khxn1292924211.ps",horizontal=F,onefile=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/rcomp/tmp/2vqwq1292924211.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(x)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3vqwq1292924211.ps",horizontal=F,onefile=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/rcomp/tmp/45zwb1292924211.ps",horizontal=F,onefile=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/rcomp/tmp/55zwb1292924211.ps",horizontal=F,onefile=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/rcomp/tmp/6yqve1292924211.ps",horizontal=F,onefile=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/rcomp/tmp/79ich1292924211.ps",horizontal=F,onefile=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. 
  -4.61    5.67   11.38   10.57   16.10   22.84 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/8gj9t1292924211.tab") 
> 
> try(system("convert tmp/1khxn1292924211.ps tmp/1khxn1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/2vqwq1292924211.ps tmp/2vqwq1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/3vqwq1292924211.ps tmp/3vqwq1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/45zwb1292924211.ps tmp/45zwb1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/55zwb1292924211.ps tmp/55zwb1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/6yqve1292924211.ps tmp/6yqve1292924211.png",intern=TRUE))
character(0)
> try(system("convert tmp/79ich1292924211.ps tmp/79ich1292924211.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   1.95    1.18    3.08