PrepDataForAnalysis: Prepare data function
In citronmeliss/predictionpackr: Predictionpackr
View source: R/PrepareDataForAnalysis.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
PrepDataForAnalysis(study_data, outcome = "composite")
Arguments
study_data
The study data as a data frame. No default
outcome
The outcome variable as a string. Default: "s30d".
citronmeliss/predictionpackr documentation built on Feb. 10, 2020, 12:19 a.m.
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View source: R/PrepareDataForAnalysis.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 | PrepDataForAnalysis(study_data, outcome = "composite")
|
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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