CochranDis: Cochran's Sample Size for discrete variables

In MiguelMenendezOrenga/usualsupport: Usual Support

Description

Sample size for a discrete variable, according to Cochran's formula

Usage

CochranDis(alfa = 0.05, p, E, N = Inf, correct = FALSE)

Arguments

alfa	numeric, alfa error to use
p	numeric, estimated prevalence in population, 1 as whole (fo instance, 50
E	numeric, Measurement Error, 1 as whole (for instance, 10
N	numeric, Size of the study population
correct	logical, if set to TRUE, it will check if the internally computed sample size is 5 per cent or bigger than the whole population, if this is the case, it will correct the sample size according to the formula n / (1 + n/N)

Details

n <- Zalpha^2 * p * (1-p) / E^2

Value

A list containing:

n	numeric value with the sample size estimated for Measurement Error choosen. This value, rounded, is the only printed output
Error	numeric value of Measurement Error as it was set with 'E' argument
alfa	numeric value of alfa error as it was set with 'alfa' argument
p	numeric value of estimated prevalence as it was set with 'p' argument
Evect	vector of numeric values, with different alternative values of Measurement Error
nvector	vector of numeric values, with different alternative values of sample size estimated for the Evect values

Author(s)

Miguel Menéndez

Examples

size1 <- CochranDis(alfa = 0.05, p = 0.5, E = 0.1, N = 2000, correct = TRUE)

MiguelMenendezOrenga/usualsupport documentation built on April 11, 2020, 11:43 a.m.