importance: Diagnostic methods for 'forestr' to compute the importance...
In andeek/forestr: Random forests with a user created splitting criterion
Description
Usage
Arguments
Value
Examples
Description
Diagnostic methods for forestr to compute the importance for each variable
Usage
1
importance(object, ...)
Arguments
object
an object of class forest as created by forest
...
not currently used
Value
A data frame with the variable importance.
Examples
1
2
mtcars.forestr <- forestr(factor(cyl) ~ ., data = mtcars)
importance(mtcars.forestr)
andeek/forestr documentation built on May 12, 2019, 2:40 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 Examples
Description
Diagnostic methods for forestr to compute the importance for each variable
Usage
1 | importance(object, ...)
|
Arguments
object |
an object of class forest as created by |
... |
not currently used |
Value
A data frame with the variable importance.
Examples
1 2 | mtcars.forestr <- forestr(factor(cyl) ~ ., data = mtcars)
importance(mtcars.forestr)
|
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.