cpro function

Calculate proportion and margin of error (unequal-sized cluster sample)

cpro(df, numerator, denominator, ci = 95, na = "", N = 0)

Arguments

• df: object containing data frame on which to perform analysis
• numerator: variable in data frame for which you want to calculate proportion and margin of error
• denominator: variable in data frame containing population sizes of unequal clusters
• ci: (optional) confidence level for establishing a confidence interval using z-score (defaults to 95; restricted to 80, 85, 90, 95 or 99 as input)
• na: (optional) value that you want to filter and exclude (defaults to include everything)
• N: (optional) population universe (e.g. 10000, nrow(df)); if N value is passed as an argument, margin of error will be calculated using fpc

Returns

Returns table of responses (n), proportions, margins of error, lower and upper bounds by factor for a given variable in a stratified sample

Examples

alresults <- ssamp(albania, 890, qarku)
cpro(df=alresults, numerator=totalVoters, denominator=zgjedhes, ci=95)
cpro(df=alresults, numerator=pd, denominator=validVotes, ci=95, N=5361)

References

[1] Survey Sampling, L. Kish, 1965, Equation 6.3.4 [2] Sampling Techniques, W.G. Cochran, 1977, Equation 3.34