pdeffebach

Line numbers aren't propagating in errors

3

When using `@chain`, line numbers are given at the level of the `@chain` command, not sub-commands. This makes it hard to debug. Consider the following script ``` using Chain foo(x,...

Histogram fails with skipmissing

3

``` julia> using StatsBase julia> fit(Histogram, [1, 1, 2]) Histogram{Int64,1,Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}} edges: 1.0:0.5:2.5 weights: [2, 0, 1] closed: left isdensity: false julia> fit(Histogram, skipmissing([1, 1, 2])) ERROR: MethodError: no method matching...

Tool to show errors at command line?

1

I don't know if this is implemented but it would be nice to be able to see all the changes JuliaFormatter would make in the terminal, somewhat akin to a...

Does Tables have the infrastructure for a performant map that returns vectors of tuples?

2

I frequently want to use `map` to make a table, and do ``` t = map(1:1000) do _ x = rand() y = rand() (; x, y) end |> Tables.columntable...

Indefinite hangs when trying to throw an error

1

I want to write this issue down, even if I don't have an MWE at the moment, so my gripe doesn't get lost in the slack hole. When using `NLSolve`...

Add `Vector` conversion

13

Currently there is an inconsistency between `Array` and `Vector` conversions for categorical arrays ``` julia> x = CategoricalArray([1, 1, 1, 2, 2, 3]); julia> Array(x) 6-element Array{Int64,1}: 1 1 1...

Allow `group` to take in an `AbstractVector` of groups?

8

Something like ``` g = [1, 1, 2, 2] x = [5, 6, 7, 8] group(g, x) ```

Add stderror and meandiff functions for TTest

9

Fixes issue #150 by adding two small functions for `TTest` abstract types. There are probably many more types we can define this for if we want. It's clear that a...

We should support getting standard error of difference for two-sample t-tests

2

Inspired by [this tweet](https://twitter.com/amandayagan/status/1098314654470819840), which highlights that it is difficult to get the standard error of a two-sample t test using R's `t.test` function:

`nycflights13` is listed [here](https://github.com/vincentarelbundock/Rdatasets/blob/master/datasets.csv). So if we pull from master and re-made the artifact this should be there.