eda_analysis: exploratory_data_analysis
In UBC-MDS/easymlr: Easy machine learning in r
Description
Usage
Arguments
Value
Examples
Description
splits the data into train and test dataframe, provides statistical summary of the variables for a dataframe. Additionally, the function provides a correlation metric of each numeric variable.
Usage
1
Arguments
df
The features of the training set
Value
a list
Examples
1
2
3
res <- eda_analysis(mtcars)
head <- res$data_head
summary <- res$data_summary
UBC-MDS/easymlr documentation built on March 22, 2021, 1:46 p.m.
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Description Usage Arguments Value Examples
Description
splits the data into train and test dataframe, provides statistical summary of the variables for a dataframe. Additionally, the function provides a correlation metric of each numeric variable.
Usage
1 |
Arguments
df |
The features of the training set |
Value
a list
Examples
1 2 3 | res <- eda_analysis(mtcars)
head <- res$data_head
summary <- res$data_summary
|
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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