entry_rate_na: Max Percent of missing Value
In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization
Description
Usage
Arguments
Value
Examples
View source: R/data_cleansing.R
Description
entry_rate_na is the function to recode variables with missing values up to a certain percentage with missing and non_missing.
Usage
1
entry_rate_na(dat, nr = 0.98, note = FALSE)
Arguments
dat
A data frame with x and target.
nr
The maximum percent of NAs.
note
Logical.Outputs info.Default is TRUE.
Value
A data.frame
Examples
1
datss = entry_rate_na(dat = lendingclub[1:1000, ], nr = 0.98)
creditmodel documentation built on Jan. 7, 2022, 5:06 p.m.
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Description Usage Arguments Value Examples
View source: R/data_cleansing.R
Description
entry_rate_na is the function to recode variables with missing values up to a certain percentage with missing and non_missing.
Usage
1 | entry_rate_na(dat, nr = 0.98, note = FALSE)
|
Arguments
dat |
A data frame with x and target. |
nr |
The maximum percent of NAs. |
note |
Logical.Outputs info.Default is TRUE. |
Value
A data.frame
Examples
1 | datss = entry_rate_na(dat = lendingclub[1:1000, ], nr = 0.98)
|
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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