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(61,81,87,87,136,147,168,185,137,125,64,45,35,-4,88,85,95,128,186,182,151,106,60,44,30,54,72,88,153,168,181,180,149,84,85,42,54,30,96,110,141,159,164,155,135,93,28,56,56,22,76,83,121,151,208,179,139,99,103,57,44,70,58,91,126,146,199,194,145,131,74,-3,7,10,34,94,105,151,162,175,128,115,62,11,-7,64,80,77,127,158,173,206,147,103,73,52,52,68,77,94,147,160,166,167,155,104,44,53,56,36,76,99,142,150,190,176,175,112,73,52,48,61,68,97,146,160,155,175,163,117,82,55,32,48,53,82,139,150,184,185,138,147,77,32,48,72,76,94,133,164,174,187,149,102,86,35,31,28,75,102,133,178,190,190,147,83,83,46,40,50,61,102,117,158,170,190,155,117,68,40,56,28,66,103,122,166,176,164,160,139,75,44,22,32,42,86,140,163,222,166,183,140,98,69,75,63,81,126,139,171,170,173,144,105,75,41,68,53,61,87,155,159,180,175,138,105,73,26,12,35,64,115,138,138,182,191,155,113,98,29)
> 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/rcomp/tmp/1mwkt1321540724.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/2xc3e1321540724.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/3xgpe1321540724.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/44kww1321540724.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/5t30x1321540724.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/6mj091321540724.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/7pymp1321540724.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. 
  -7.00   61.75  102.00  106.40  153.50  222.00 
> 
> #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/8x98k1321540724.tab") 
> 
> try(system("convert tmp/1mwkt1321540724.ps tmp/1mwkt1321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/2xc3e1321540724.ps tmp/2xc3e1321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xgpe1321540724.ps tmp/3xgpe1321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/44kww1321540724.ps tmp/44kww1321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/5t30x1321540724.ps tmp/5t30x1321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/6mj091321540724.ps tmp/6mj091321540724.png",intern=TRUE))
character(0)
> try(system("convert tmp/7pymp1321540724.ps tmp/7pymp1321540724.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.210   0.260   3.486