Hi there, I’ve been beating my head on this for a bit, and I’m coming up empty. Based on another answer I found here (and after realizing there’s no R equivalent of the apply functions or dplyr rowwise functions), I tried something like this: f(a, b, c, d, e, f) = Statistics.median(a, b, c, d, e, …

Ah, for any who wander across this. I figured it out (finally!). f(a, b, c, d, e, f) = Statistics.median(skipmissing([a, b, c, d, e, f])) f.(reddit_df[:subdomain_all_freq_comment_count], reddit_df[:subdomain_all_freq_comment_query_count], reddit_df[:subdomain_all_freq_submission_count], reddit_df[…

using DataFrames, Statistics data = DataFrame(a = 1:5, b = 2:6) |> allowmissing! data.a[3] = missing data.b[5] = missing sum.(skipmissing.(eachrow(data))) mean.(skipmissing.(eachrow(data))) median.(skipmissing.(eachrow(data)))

Row wise median (or sum or mean) with missings

New to Julia

Tamas_Papp June 21, 2019, 10:09am 3

Please quote your code (you can still edit your posts).

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Row wise median (or sum or mean) with missings

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