Documentation

R> jl$a <- c(1,3,2)
R> length(jl$a)
[1] 3
R> names(jl)
[1] "Dyndoc" "Ruby"   "a"      "b"     
R> jl$a[2]
3.0
R> jl$a
3-element Vector{Float64}:
 1.0
 3.0
 2.0
R> jl$b <- data.frame(aa=1:4,bb=TRUE,cc=c("toto","titi","toto","titi"),stringsAsFactors=TRUE)
R> jl$b
4×3 DataFrame
 Row │ aa     bb    cc
     │ Int64  Bool  Cat…
─────┼───────────────────
   1 │     1  true  toto
   2 │     2  true  titi
   3 │     3  true  toto
   4 │     4  true  titi
R> names(jl$b)
[1] "aa" "bb" "cc"
R> jl$b$cc
4-element CategoricalArray{String,1,UInt32}:
 "toto"
 "titi"
 "toto"
 "titi"
R> jlcall("levels",jl$b$cc)
2-element Vector{String}:
 "titi"
 "toto"
R> jl[[levels]](jl$b$cc)
2-element Vector{String}:
 "titi"
 "toto"
R> jl[[levels]](`b[!,:cc]`)
2-element Vector{String}:
 "titi"
 "toto"
R> class(jl$b$cc)
[1] "CategoricalArray" "jlvalue"         
R> levels(jl$b$cc)
2-element Vector{String}:
 "titi"
 "toto"
R> names(jl)
[1] "Dyndoc" "Ruby"   "a"      "b"