combine_weighting_functions: Combine weight functions from two sampling frames

In mabafaba/surveyweights: Calculate weights from sampling frames

Description

With multi-stage sampling, it is sometimes necessary to combine the weights from two sampling frames (e.g. stratified cluster sampling). This function let's you create a new weight function from two existing weight functions created with weighting_fun_from_samplingframe().

Usage

combine_weighting_functions(weights_function_1, weights_function_2)

Arguments

weights_function_1	The weight function from the outer sampling frame (the 'larger' scale; Records in one group of the outer sampling frame can belong to different strata in the inner sampling frame.)
weights_function_2	The weight function from the inner sampling frame (the 'smaller' scale; Records in the same group of the inner sampling frame must also belong to the same group in the outer sampling frame.)

Details

The returned function combines two sets of weights so that

• the sum of weights of each sampling frame's groups remain proportional to each other

• the total sum of weights equals the number of rows in the input data frame

Value

returns a function that takes a dataframe as input and returns a vector of weights

mabafaba/surveyweights documentation built on Sept. 28, 2019, 8:18 p.m.