delSinvalPercent: Delete Variables Based on Single-Value Percent
In xxzcool/scoremodel: Credit Scoring Modeling Toolbox
Description
Usage
Arguments
Details
Value
See Also
Description
delSinvalPercent will delete variables whose single-value percent is more than or equal to the given threshold, then return a new dataframe.
Usage
1
delSinvalPercent(df, percent = 0.9, exclude = NULL)
Arguments
df
A dataframe.
percent
The given threshold, default 0.9.
exclude
Vector of column names or numbers to exclude, default NULL.
Details
generally, in score model, the threshold of single value percent is often set to 0.9.
Value
A dataframe after deleted
See Also
Other data preprocessing functions: delFewValues,
delNArate, excludeCol,
maxSinvalPercent
xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.
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Description Usage Arguments Details Value See Also
Description
delSinvalPercent will delete variables whose single-value percent is more than or equal to the given threshold, then return a new dataframe.
Usage
1 | delSinvalPercent(df, percent = 0.9, exclude = NULL)
|
Arguments
df |
A dataframe. |
percent |
The given threshold, default |
exclude |
Vector of column names or numbers to exclude, default |
Details
generally, in score model, the threshold of single value percent is often set to 0.9.
Value
A dataframe after deleted
See Also
Other data preprocessing functions: delFewValues,
delNArate, excludeCol,
maxSinvalPercent
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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