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Results tagged with missing-data
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user 280414
When the data present lack of information (gaps), i.e., are not complete. Hence, it is important to consider this feature when performing an analysis or test.
5
votes
perform Random Forest AFTER multiple imputation with MICE
The combine function in randomForest makes it possible to combine multiple randomForest objects.
Prepare data:
set.seed(1234)
X1 <- rnorm(100, 120, 16)
X2 <- X1 + rnorm(100, 200, 10)
X3 <- 0.8*X2 + …
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