preprocess.NAs: Handling missing values in a df
In szintakacseva/mlhelper: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Replaces numeric and factor columns NAs with user defined values
Usage
1
preprocess.NAs(df, numeric.v, factor.v = "None")
Arguments
df
A data frame. numeric and factor columns will be considered
numeric.v
Numeric value, NAs will be replaced with. Default is 0.
factor.v
Factor value, NAs will be replaced with. Default is None.
Value
This function returns the initial data.frame with NAs replaced
Author(s)
Eva Szin Takacs, szin.takacs.eva@gmail.com
Examples
1
preprocess.NAs(weather, 0, "None")
szintakacseva/mlhelper documentation built on June 4, 2019, 6:22 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Replaces numeric and factor columns NAs with user defined values
Usage
1 | preprocess.NAs(df, numeric.v, factor.v = "None")
|
Arguments
df |
A data frame. numeric and factor columns will be considered |
numeric.v |
Numeric value, NAs will be replaced with. Default is 0. |
factor.v |
Factor value, NAs will be replaced with. Default is None. |
Value
This function returns the initial data.frame with NAs replaced
Author(s)
Eva Szin Takacs, szin.takacs.eva@gmail.com
Examples
1 | preprocess.NAs(weather, 0, "None")
|
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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