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Copy path2024-08-23-missranger.R
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2024-08-23-missranger.R
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library(missRanger)
# 10% missings
ir <- iris |>
generateNA(p = 0.1, seed = 11)
# Train/test split stratified by Species
oos <- c(1:10, 51:60, 101:110)
train <- ir[-oos, ]
test <- ir[oos, ]
head(test)
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1 5.1 3.5 1.4 0.2 setosa
# 2 4.9 3.0 1.4 0.2 setosa
# 3 4.7 3.2 1.3 NA setosa
# 4 4.6 3.1 1.5 0.2 setosa
# 5 5.0 3.6 1.4 0.2 setosa
# 6 5.4 NA 1.7 NA setosa
mr <- missRanger(train, pmm.k = 5, keep_forests = TRUE, seed = 1)
test_filled <- predict(mr, test, seed = 1)
head(test_filled)
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1 5.1 3.5 1.4 0.2 setosa
# 2 4.9 3.0 1.4 0.2 setosa
# 3 4.7 3.2 1.3 0.2 setosa
# 4 4.6 3.1 1.5 0.2 setosa
# 5 5.0 3.6 1.4 0.2 setosa
# 6 5.4 4.0 1.7 0.4 setosa
# Original
head(iris)
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1 5.1 3.5 1.4 0.2 setosa
# 2 4.9 3.0 1.4 0.2 setosa
# 3 4.7 3.2 1.3 0.2 setosa
# 4 4.6 3.1 1.5 0.2 setosa
# 5 5.0 3.6 1.4 0.2 setosa
# 6 5.4 3.9 1.7 0.4 setosa