Ayush Patnaik comments

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                                            Ayush Patnaik

Add `subset()` style function

It's simple to add for replicate design, it's just a subset from DataFrames.

Add `subset()` style function

Hi @EngPeterAtef Sorry, I am not sure why I didn't get a notification when you commented. Apologies for the delay.

Add `subset()` style function

@EngPeterAtef We want to implement this function in Julia: https://r-survey.r-forge.r-project.org/survey/html/subset.survey.design.html

Integrate confidence intervals with `quantile`

@a-keshav You can pick up this issue. You can add the CI to the returned data frame, however, we'll eventually need some structural changes that are being discussed in issue...

Create multistage stratified sample from `apipop`

@britgyu wants to do this. @smishr are you confident this is a “good first issue”?

Create multistage stratified sample from `apipop`

I remember there being a page where the author using dplyr to create sample datasets from apipop. Do you remember?

Create multistage stratified sample from `apipop`

Can you dig out the link? I remember it was using `srvyr`

`jackknife_variance` hardcoded for binary `func`

We can do the following: ```julia function variance(x::Vector{Symbol}, func::Function, design::ReplicateDesign{BootstrapReplicates}) θ̂ = func(design.data, x, design.weights) θ̂t = [ func(design.data, x, "replicate_"*string(i)) for i = 1:design.replicates ] variance = sum.((θ̂t .-...

`jackknife_variance` hardcoded for binary `func`

Can you also accept `args`, and `kwargs` in the `variance` functions and pass them to `func`? @nadiaenh

Abstract types for summary statistics function for code reuse

Based on #277 We need types for estimates. Currently, `mean(x::Symbol, design::ReplicateDesign)` returns a `DataFrame`. Similarly, `total(x::Symbol, design::ReplicateDesign)` also returns a DataFrame. If we want a function, such as `CI` that...