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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> par8 = ''
> par7 = ''
> par6 = '0'
> par5 = 'Y'
> par4 = '2'
> par3 = '1'
> par2 = '.5'
> par1 = '100'
> ylab = 'density'
> xlab = 'value of generated random numbers'
> main = 'Histogram of Generated Random Numbers'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> library(msm)
> par1 <- as.numeric(par1)
> if (par1 > 10000) par1=10000 #impose restriction on number of random values
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> if (par6 == '0') par6 = 'Sturges' else {
+ par6 <- as.numeric(par6)
+ if (par6 > 50) par6 = 50 #impose restriction on the number of bins
+ }
> if (par7 == '') par7 <- -Inf else par7 <- as.numeric(par7)
> if (par8 == '') par8 <- Inf else par8 <- as.numeric(par8)
> x <- rtnorm(par1,par2,par3,par7,par8)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> if ((par7 == -Inf) & (par8 == Inf)) (r <- fitdistr(x,'normal'))
      mean          sd    
  0.49361982   1.02917672 
 (0.10291767) (0.07277378)
> postscript(file="/var/www/html/rcomp/tmp/1lsn21259075460.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par4,breaks=par6,main=main,ylab=ylab,xlab=xlab,freq=F)
> if ((par7 == -Inf) & (par8 == Inf)) {
+ curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
+ }
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> if (par5 == 'Y')
+ {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Index',1,TRUE)
+ a<-table.element(a,'Value',1,TRUE)
+ a<-table.row.end(a)
+ for (i in 1:par1)
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/rcomp/tmp/28dk91259075460.tab") 
+ }
> if ((par7 == -Inf) & (par8 == Inf)) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Parameter',1,TRUE)
+ a<-table.element(a,'Value',1,TRUE)
+ a<-table.element(a,'Standard Deviation',1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'# simulated values',header=TRUE)
+ a<-table.element(a,par1)
+ a<-table.element(a,'-')
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'true mean',header=TRUE)
+ a<-table.element(a,par2)
+ a<-table.element(a,'-')
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'true standard deviation',header=TRUE)
+ a<-table.element(a,par3)
+ a<-table.element(a,'-')
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'mean',header=TRUE)
+ a<-table.element(a,r$estimate[1])
+ a<-table.element(a,r$sd[1])
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'standard deviation',header=TRUE)
+ a<-table.element(a,r$estimate[2])
+ a<-table.element(a,r$sd[2])
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/rcomp/tmp/3jxpx1259075460.tab") 
+ }
> 
> system("convert tmp/1lsn21259075460.ps tmp/1lsn21259075460.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.508   0.186   0.955