fix dataset error

jmboehm · Mar 18, 2024 · d590e97 · d590e97
1 parent a2a75a6
commit d590e97
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Showing 6 changed files with 7 additions and 7 deletions.
diff --git 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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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