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palday avatar palday commented on June 16, 2024

The tutorial you link is just the README from this repository that JuliaHub scraped and it doesn't appear to be a particularly recent scraping -- you can simplify the creation on the tuple a bit:

julia> m_machines = (m, machines);

That said, the example using the Tuple([m, machines]) runs fine on Julia 1.6 with the current JellyMe4 release (0.2.6), current MixedModels release (4.4.1), current RCall release (0.13.12) and R (4.1.2), so I'm wondering if you somehow have an older release of one of those pieces of software. I can see from the stacktracke that you have R 4.1, so that's fine. Can you tell me which versions of MixedModels, RCall and JellyMe4 you're using? You can see the package versions by using Pkg.status(), e.g.:

julia> using Pkg; Pkg.status()
      Status `/tmp/jl_4MPCqg/Project.toml`
  [19ac8677] JellyMe4 v0.2.6
  [ff71e718] MixedModels v4.4.1
  [6f49c342] RCall v0.13.12
julia> VERSION # Julia version; also displayed in the startup banner
v"1.6.2"

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Benambridge avatar Benambridge commented on June 16, 2024

Thanks very much - It looks like I'm using an old MixedModels release so will try updating that

[6e4b80f9] BenchmarkTools v0.5.0
[336ed68f] CSV v0.8.2
[a93c6f00] DataFrames v0.21.8
[38e38edf] GLM v1.3.11
[19ac8677] JellyMe4 v0.2.1
[ff71e718] MixedModels v3.1.1
[6f49c342] RCall v0.13.10
[df47a6cb] RData v0.7.3
[2913bbd2] StatsBase v0.33.2
[3eaba693] StatsModels v0.6.15
[f3b207a7] StatsPlots v0.14.17
[fd094767] Suppressor v0.2.0

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palday avatar palday commented on June 16, 2024

I'm assuming updating MixedModels, so closing. Re-open if necessary.

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