missing_elimination: Missing Elimination
In ayhandis/creditR: A Credit Risk Scoring and Validation Package
Description
Usage
Arguments
Examples
Description
This function allows you to eliminate variables which have missing ratios greater than a given threshold for a given data set.
Usage
1
missing_elimination(data, missing_ratio_threshold)
Arguments
data
A data set needs to be defined.
missing_ratio_threshold
The missing ratio threshold must be specified in order to make an elimination.
Examples
1
2
3
4
5
name <- c('John Doe','Peter Gynn','Jolie Hope')
birth_year <- c(1980, 1985, 1971)
salary <- c(20000,NA,10000)
example_data <- data.frame(name,birth_year,salary)
missing_elimination(example_data, 0.10)
ayhandis/creditR documentation built on May 9, 2019, 8:41 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 Examples
Description
This function allows you to eliminate variables which have missing ratios greater than a given threshold for a given data set.
Usage
1 | missing_elimination(data, missing_ratio_threshold)
|
Arguments
data |
A data set needs to be defined. |
missing_ratio_threshold |
The missing ratio threshold must be specified in order to make an elimination. |
Examples
1 2 3 4 5 | name <- c('John Doe','Peter Gynn','Jolie Hope')
birth_year <- c(1980, 1985, 1971)
salary <- c(20000,NA,10000)
example_data <- data.frame(name,birth_year,salary)
missing_elimination(example_data, 0.10)
|
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.