How to get multiple data summaries with one-line of code

How-to
1

Hi there - is there a way to output multiple data summaries by group with simple one-line code in Pumas?

For example, I have the following code and output below:

using Distributions
using Random
using Statisitcs
using DataFramesMeta

subjs = [randstring("abc123") for i in 1:30]
z = DataFrame(
    CL = rand(LogNormal(2, 1), 90),
    trialID = vcat(fill("trial1", 30), fill("trial2", 30), fill("trial3", 30)),
    subjID = vcat(fill(subjs, 3)...))

@chain z begin
    groupby([:trialID])
    @combine :X = vcat(quantile(:CL, [0.1, 0.25, 0.5, 0.75, 0.9]), mean(:CL))
end

Current output:

18×2 DataFrame
 Row │ trialID  X        
     │ String   Float64  
─────┼───────────────────
   1 │ trial1    2.315
   2 │ trial1    3.18237
   3 │ trial1    6.43796
  ⋮  │    ⋮        ⋮
  17 │ trial3   17.3299
  18 │ trial3    9.49089
          13 rows omitted

Expected output:

3×7 DataFrame
 Row │ trialID  X1       X2       X3       X4       X5       X6       
     │ String   Float64  Float64  Float64  Float64  Float64  Float64  
─────┼────────────────────────────────────────────────────────────────
   1 │ trial1   2.315    3.18237  6.43796  11.0749  12.9025   8.76228
   2 │ trial2   1.39964  2.39561  7.55012  15.5998  24.8026   11.8699
   3 │ trial3   1.7409   2.49885  6.60066  12.9614  17.3299   9.49089

I can write multiple lines to get multiple quantiles or means (code below) as separate columns, but I am looking for a less redundant way of doing it

@chain z begin
    groupby([:trialID])
    @combine begin
        :X1 = quantile(:CL, 0.1)
        :X2 = quantile(:CL, 0.25)
        :X3 = quantile(:CL, 0.5)
        :X4 = quantile(:CL, 0.75)
        :X5 = quantile(:CL, 0.9)
        :X6 = mean(:CL)
    end 
end
2

Probably the cut function from CategoricalArrays package could help

df.bins = string.(cut(df.CL,5))

3

Thank you, Ahmed!
I am looking for a more general way where the right hand side returns a vector as in the example above that contains 5 quantiles and a mean (other situation might be that I am returning all of minimum, maximum, mean, median, and standard deviation at once). Please let me know if you know of a way to do this.