trans_classifyNa: Nominalise features with NA's
In Bilot/AI-jack-opensource-R: Package for Machine Learning project handling
Description
Usage
Arguments
Value
View source: R/transformations.R
Description
This function is used, when there is too much NA's in
continuous variables and you can't impute them.
This replaces negative values with 'Under0', zeros with '0',
positive values with 'Over0' and NA's with 'Missing' and
factorizes the variable.
Usage
1
trans_classifyNa(df, set)
Arguments
df
data.frame to transform
set
config object
Value
main object with transformed data.
Bilot/AI-jack-opensource-R documentation built on July 28, 2020, 1:15 a.m.
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.
Description Usage Arguments Value
View source: R/transformations.R
Description
This function is used, when there is too much NA's in
continuous variables and you can't impute them.
This replaces negative values with 'Under0', zeros with '0',
positive values with 'Over0' and NA's with 'Missing' and
factorizes the variable.
Usage
1 | trans_classifyNa(df, set)
|
Arguments
df |
data.frame to transform |
set |
config object |
Value
main object with transformed data.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.