From d590e975da533fcd4cb80ab72ac372b49f8efd87 Mon Sep 17 00:00:00 2001 From: junder873 Date: Mon, 18 Mar 2024 16:58:15 -0400 Subject: [PATCH] fix dataset error --- docs/src/examples.md | 4 ++-- docs/src/index.md | 2 +- docs/src/keep_drop_order.md | 2 +- test/GLFixedEffectModels.jl | 2 +- test/RegressionTables.jl | 2 +- test/default_changes.jl | 2 +- 6 files changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/src/examples.md b/docs/src/examples.md index a5d6d7d..671c9d4 100644 --- a/docs/src/examples.md +++ b/docs/src/examples.md @@ -6,7 +6,7 @@ Setup for the following examples: ```@meta DocTestSetup = quote # hide using RegressionTables, DataFrames, RDatasets, FixedEffectModels, GLM, MixedModels; - df = dataset("datasets", "iris"); + df = RDatasets.dataset("datasets", "iris"); df[!,:isSmall] = df[!,:SepalWidth] .< 2.9; rr1 = reg(df, @formula(SepalLength ~ SepalWidth)); rr2 = reg(df, @formula(SepalLength ~ SepalWidth + PetalLength + fe(Species))); @@ -1315,7 +1315,7 @@ Pseudo R2 0.006 0.006 0.297 0.297 Displays whether or not the standard errors are clustered and in what ways. ```jldoctest -df_cigar = dataset("plm", "Cigar"); +df_cigar = RDatasets.dataset("plm", "Cigar"); rr_c1 = reg(df_cigar, @formula(Sales ~ NDI + fe(State) + fe(Year)), Vcov.cluster(:State)); rr_c2 = reg(df_cigar, @formula(Sales ~ NDI + Price + fe(State) + fe(Year)), Vcov.cluster(:State, :Year)); diff --git a/docs/src/index.md b/docs/src/index.md index 79bb22b..5afa1bf 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -23,7 +23,7 @@ To install the package, type in the Julia command prompt ```@example main_data using RegressionTables, DataFrames, FixedEffectModels, RDatasets, GLM -df = dataset("datasets", "iris") +df = RDatasets.dataset("datasets", "iris") rr1 = reg(df, @formula(SepalLength ~ SepalWidth + fe(Species))) rr2 = reg(df, @formula(SepalLength ~ SepalWidth + PetalLength + fe(Species))) diff --git a/docs/src/keep_drop_order.md b/docs/src/keep_drop_order.md index 0bb5009..825d6e3 100644 --- a/docs/src/keep_drop_order.md +++ b/docs/src/keep_drop_order.md @@ -2,7 +2,7 @@ DocTestSetup = quote # hide using RegressionTables, DataFrames, FixedEffectModels, RDatasets - df = dataset("datasets", "iris") + df = RDatasets.dataset("datasets", "iris") df[!,:SpeciesDummy] = df[!,:Species] rr1 = reg(df, @formula(SepalLength ~ SepalWidth + fe(SpeciesDummy))) diff --git a/test/GLFixedEffectModels.jl b/test/GLFixedEffectModels.jl index e184b2b..83bdf74 100644 --- a/test/GLFixedEffectModels.jl +++ b/test/GLFixedEffectModels.jl @@ -3,7 +3,7 @@ using GLFixedEffectModels, GLM, RDatasets, Test # include("src/RegressionTables.jl") -df = dataset("datasets", "iris") +df = RDatasets.dataset("datasets", "iris") df[!, :isSmall] = df[!, :SepalWidth] .< 2.9 df[!, :isWide] = df[!, :SepalWidth] .> 2.5 df[!, :binary] = @. ifelse(df[!, :PetalWidth] .> 1.0, 1.0, 0.0) diff --git a/test/RegressionTables.jl b/test/RegressionTables.jl index 0be5a94..1f417a4 100644 --- a/test/RegressionTables.jl +++ b/test/RegressionTables.jl @@ -1,7 +1,7 @@ using RegressionTables using FixedEffectModels, GLM, RDatasets, Test -df = dataset("datasets", "iris") +df = RDatasets.dataset("datasets", "iris") df[!, :isSmall] = df[!, :SepalWidth] .< 2.9 df[!, :isWide] = df[!, :SepalWidth] .> 2.5 diff --git a/test/default_changes.jl b/test/default_changes.jl index 8b3ca65..6e2e605 100644 --- a/test/default_changes.jl +++ b/test/default_changes.jl @@ -9,7 +9,7 @@ own test set using RegressionTables using FixedEffectModels, GLM, RDatasets, Test -df = dataset("datasets", "iris") +df = RDatasets.dataset("datasets", "iris") df[!, :isSmall] = df[!, :SepalWidth] .< 2.9 df[!, :isWide] = df[!, :SepalWidth] .> 2.5