prep.data.for.superlearner: Prepare data function
In janejkanske/SupaLarna: Package for the SuperLearner vs clincians study
View source: R/prep.data.for.superlearner.r
Description
This function prepares and generates training and review sets by splitting the dataset in half according to a time variable . Factor variables are removed.
Usage
1
prep.data.for.superlearner(study_data, outcome = "s30d")
Arguments
study_data
The study data as a data frame. No default
outcome
The outcome variable as a string. Default: "s30d".
janejkanske/SupaLarna documentation built on July 29, 2020, 1:55 p.m.
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View source: R/prep.data.for.superlearner.r
Description
This function prepares and generates training and review sets by splitting the dataset in half according to a time variable . Factor variables are removed.
Usage
1 | prep.data.for.superlearner(study_data, outcome = "s30d")
|
Arguments
study_data |
The study data as a data frame. No default |
outcome |
The outcome variable as a string. Default: "s30d". |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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