data_prep_complete: Preparing datas for logistic regression
In TanguyPerennec/Autostats: Automated medical science statistics
Description
Usage
Arguments
Value
Description
Preparing datas for logistic regression
Usage
1
data_prep_complete(DF, y = colnames(DF)[1], verbose = TRUE, keep = FALSE)
Arguments
DF
dataframe : the dataframe to clean
y
(optional) character : the variable to explain
verbose
(optional) logical : TRUE will display some informations in the console
keep
(optional) vector : variables part of DF's columns that should not be deleted
in the data cleaning process
Value
data_prep_complete returns a dataframe ready for a logistic regression
TanguyPerennec/Autostats documentation built on Dec. 13, 2020, 10:43 a.m.
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Description Usage Arguments Value
Description
Preparing datas for logistic regression
Usage
1 | data_prep_complete(DF, y = colnames(DF)[1], verbose = TRUE, keep = FALSE)
|
Arguments
DF |
dataframe : the dataframe to clean |
y |
(optional) character : the variable to explain |
verbose |
(optional) logical : TRUE will display some informations in the console |
keep |
(optional) vector : variables part of DF's columns that should not be deleted in the data cleaning process |
Value
data_prep_complete returns a dataframe ready for a logistic regression
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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