Open ayushpatnaikgit opened 1 year ago
julia> dclus1 = SurveyDesign(apiclus1; weights=:pw, clusters=:dnum, popsize=:fpc) SurveyDesign: data: 183×45 DataFrame strata: none cluster: dnum [637, 637, 637 … 448] popsize: [757, 757, 757 … 757] sampsize: [15, 15, 15 … 15] weights: [50.4667, 50.4667, 50.4667 … 50.4667] allprobs: [0.0198, 0.0198, 0.0198 … 0.0198]
> dclus1 = svydesign(id=~dnum, data = apiclus1, weight = ~pw, fpc = ~fpc) > dclus1$allprob pw 1 0.02954472 2 0.02954472 3 0.02954472 4 0.02954472 5 0.02954472 6 0.02954472 7 0.02954472 8 0.02954472 9 0.02954472 ...
Notice the difference in allprobs
allprobs
We are prefering popsize, while R prefers weights.
Notice the difference in
allprobs
We are prefering popsize, while R prefers weights.