dataset.split: Split A Dataset Into Training And Test Datasets
In rlebron-bioinfo/gnlearn: Genetic Network Learning
Description
Usage
Arguments
Examples
Description
This function allows you to split a dataset into training and test datasets.
Usage
1
dataset.split(df, m = NULL)
Arguments
df
Dataset.
m
Size of training dataset (optional). Default: nrow(df)/2
Examples
1
2
3
splitted.df <- dataset.split(df)
splitted.df$train
splitted.df$test
rlebron-bioinfo/gnlearn documentation built on July 25, 2020, 12:38 p.m.
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Description Usage Arguments Examples
Description
This function allows you to split a dataset into training and test datasets.
Usage
1 | dataset.split(df, m = NULL)
|
Arguments
df |
Dataset. |
m |
Size of training dataset (optional). Default: nrow(df)/2 |
Examples
1 2 3 | splitted.df <- dataset.split(df)
splitted.df$train
splitted.df$test
|
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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