R version 2.6.2 (2008-02-08)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> par6 = 'TRUE'
> par5 = '0.2'
> par4 = '6000'
> par3 = '1460'
> par2 = '100'
> par1 = '325'
> ylab = 'Frequency'
> xlab = 'Profit'
> main = 'Profit/Policy/Year'
> #'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)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'TRUE') par6 <- TRUE
> if (par6 == 'FALSE') par6 <- FALSE
> reps = par1
> policies = par2
> prem = par3
> cost = par4
> prob = par5
> Poisson = par6
> gross.profit <- 1:policies
> gross.profit.rate <- 1:reps
> if (Poisson==T) {
+ for (j in 1:reps) {
+ totalcost=cost*rpois(policies,prob)
+ gross.profit=prem-totalcost
+ gross.profit.rate[j]=sum(gross.profit)/policies
+ }
+ }
> if (Poisson==F){
+ for (j in 1:reps) {
+ totalcost=cost*rbinom(policies,1,prob)
+ gross.profit = prem-totalcost
+ gross.profit.rate[j] = sum(gross.profit)/policies
+ }
+ }
> risk <- 100 * (length (gross.profit.rate[gross.profit.rate < 0]))/reps
> print(risk)
[1] 15.07692
> avgprofit <- format(mean(gross.profit.rate), digits = 5)
> sdprofit <- format(sd(gross.profit.rate), digits = 5)
> postscript(file="/var/www/html/rcomp/tmp/1i34h1208477054.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> stripchart(gross.profit.rate, method = 'stack', main = main, xlab = xlab, ylab = ylab, col = 'blue',at=0.1)
> stripchart(gross.profit.rate[gross.profit.rate<0], method = 'stack', col = 'red', add = TRUE, at=0.1)
> dev.off()
null device 
          1 
> x<-rnorm(100)
> 
> #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,'Summary Statistics',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of policies',header=TRUE)
> a<-table.element(a,policies)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of simulations',header=TRUE)
> a<-table.element(a,reps)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Mean of gross profit per policy in USD',header=TRUE)
> a<-table.element(a,avgprofit)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Risk of loss in percent',header=TRUE)
> a<-table.element(a, round(risk,0) )
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'SD of gross profit per policy',header=TRUE)
> a<-table.element(a,sdprofit)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2uw3n1208477054.tab") 
> 
> system("convert tmp/1i34h1208477054.ps tmp/1i34h1208477054.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.635   0.180   0.703