cpro: Calculate proportion and margin of error (unequal-sized...

In sampler: Sample Design, Drawing & Data Analysis Using Data Frames

Description

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

Usage

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

Value

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

References

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

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)

sampler documentation built on Sept. 15, 2019, 5:02 p.m.