refactor using structs

JuliaPlots · Sep 6, 2022 · 9fdc689 · 9fdc689
1 parent 01dd0c1
commit 9fdc689
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Showing 5 changed files with 701 additions and 226 deletions.
diff --git a/Project.toml b/Project.toml
@@ -17,6 +17,7 @@ Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 RecipesPipeline = "01d81517-befc-4cb6-b9ec-a95719d0359c"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
+StatsAPI = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"
 TableOperations = "ab02a1b2-a7df-11e8-156e-fb1833f50b87"
@@ -37,6 +38,7 @@ Plots = "1.29"
 RecipesBase = "0.6, 0.7, 0.8, 1"
 RecipesPipeline = "0.1.6, 0.2, 0.3, 0.4, 0.5"
 Reexport = "0.2, 1.0"
+StatsAPI = "1.2"
 StatsBase = "0.32, 0.33"
 StatsModels = "0.6"
 TableOperations = "0.2, 0.3, 1.0"

diff --git a/README.md b/README.md
@@ -497,7 +497,7 @@ covellipse!([1,0], [1 -0.5; -0.5 3], showaxes=true, label="cov2")
 
 ## Coefficient plot
 
-Coefficients of a RegressionModel can be plotted with their standard deviation to easily visualize effect size.
+Coefficients of a `StatsAPI.RegressionModel` can be plotted with their standard deviation to easily visualize effect size.
 A collection of models can be plotted together if the response variable is identical.
 
 ```julia

diff --git a/src/StatsPlots.jl b/src/StatsPlots.jl
@@ -20,6 +20,7 @@ import Clustering: Hclust, nnodes
 using Interpolations
 using MultivariateStats: MultivariateStats
 using AbstractFFTs: fft, ifft
+using StatsAPI
 using StatsModels
 using StatsModels: hasintercept, TableRegressionModel, kron_insideout, vectorize
 import KernelDensity