R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: i686-pc-linux-gnu (32-bit)

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> par8 = '50'
> par7 = '0.50'
> par6 = '0.50'
> par5 = '0.90'
> par4 = '0.10'
> par3 = '0.02'
> par2 = '0.03'
> par1 = '0.05'
> par8 <- '50'
> par7 <- '0.50'
> par6 <- '0.50'
> par5 <- '0.90'
> par4 <- '0.10'
> par3 <- '0.02'
> par2 <- '0.03'
> par1 <- '0.05'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Reproduction of Table 7.1 from Saunders et al. in Methoden en technieken van onderzoek, 4e editie (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_saundersetal71.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> par8 <- as.numeric(par8)
> confidence <- par5
> proportion <- par6
> power <- par7
> userpopsize <- par8
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> compsize <- function(population,confidence,proportion,marginoferror,power)
+ {
+ par22 <- marginoferror*marginoferror
+ z <- abs(qnorm((1-confidence)/2)) + abs(qnorm(1-power))
+ dum <- z*z * proportion*(1-proportion)
+ size <- round(population * dum / (dum + (population-1) * par22))
+ return(size)
+ }
> comprow <- function(population, confidence, proportion, marginoferror1, marginoferror2, marginoferror3, marginoferror4, power)
+ {
+ population <- as.integer(population) #this prevents scientific notation
+ row <- ''
+ row<-table.row.start(row)
+ row<-table.element(row,population,header=TRUE)
+ row<-table.element(row, compsize(population, confidence, proportion, marginoferror1, power))
+ row<-table.element(row, compsize(population, confidence, proportion, marginoferror2, power))
+ row<-table.element(row, compsize(population, confidence, proportion, marginoferror3, power))
+ row<-table.element(row, compsize(population, confidence, proportion, marginoferror4, power))
+ row<-table.row.end(row)
+ return(row)
+ }
> npop <- array(NA, 200)
> ppop <- array(NA, 200)
> for (i in 1:200)
+ {
+ ppop[i] <- i * 100
+ npop[i] <- compsize(ppop[i], confidence, proportion, par1, power)
+ }
> postscript(file="/var/fisher/rcomp/tmp/1b5jt1386599817.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> dum <- paste(par1*100,'%')
> plot(ppop,npop,col=2,main=paste('Steekproefomvang bij een Foutenmarge van ', dum), xlab='Populatieomvang', ylab='Steekproefomvang')
> dev.off()
null device 
          1 
> a<-table.start()
> dum <- paste(confidence*100, '%, een Proportie van ',sep='')
> dum <- paste(dum, proportion)
> dum <- paste(dum, 'en een Power van ')
> dum <- paste(dum, power*100)
> dum <- paste(dum, '%',sep='')
> a<-table.row.start(a)
> a<-table.element(a,paste('Tabel 7.1: Steekproefomvang voor verschillende waarden van de populatieomvang op een betrouwbaarheidsniveau van ', dum),5,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'',1,TRUE)
> a<-table.element(a,'Foutenmarge',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Populatie',1,TRUE)
> a<-table.element(a, paste(par1*100,'%'),1,TRUE)
> a<-table.element(a, paste(par2*100,'%'),1,TRUE)
> a<-table.element(a, paste(par3*100,'%'),1,TRUE)
> a<-table.element(a, paste(par4*100,'%'),1,TRUE)
> a<-table.row.end(a)
> a <- paste(a,comprow(userpopsize, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(100, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(150, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(200, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(250, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(300, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(400, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(500, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(750, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(1000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(2000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(5000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(10000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(100000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(1000000, confidence, proportion, par1, par2, par3, par4, power))
> a <- paste(a,comprow(10000000, confidence, proportion, par1, par2, par3, par4, power))
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2b05s1386599818.tab") 
> 
> try(system("convert tmp/1b5jt1386599817.ps tmp/1b5jt1386599817.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.400   0.388   1.744