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Foutenmarge #1
Foutenmarge #2
Foutenmarge #3
Foutenmarge #4
Betrouwbaarheidsniveau
Proportie
Power
Populatieomvang (eerste rij in de tabel)
Chart options
R Code
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 load(file='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) } bitmap(file='test1.png') dum <- paste(par1*100,'%') plot(ppop,npop,col=2,main=paste('Steekproefomvang bij een Foutenmarge van ', dum), xlab='Populatieomvang', ylab='Steekproefomvang') dev.off() 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='mytable.tab')
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