yaiRFsummary: Build Summary Data For Method RandomForest
In yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools
Description
Usage
Arguments
Value
Author(s)
See Also
Description
When method randomforest is used to build a yai
object, the randomForest package computes
several statistics. This function summarizes some of them, including
the variable importance scores computed by function yaiVarImp.
Usage
1
yaiRFsummary(object, nTop=0)
Arguments
object
an object of class yai.
nTop
the nTop most important variables are plotted (returned).
Value
A list containing:
forestAttributes
a data frame reporting the error rates and other data
from the randomForest(s).
scaledImportance
the data frame computed by yaiVarImp.
Author(s)
Nicholas L. Crookston ncrookston.fs@gmail.com
Andrew O. Finley finleya@msu.edu
See Also
yaImpute documentation built on July 1, 2020, 3 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
When method randomforest is used to build a yai
object, the randomForest package computes
several statistics. This function summarizes some of them, including
the variable importance scores computed by function yaiVarImp.
Usage
1 | yaiRFsummary(object, nTop=0)
|
Arguments
object |
an object of class |
nTop |
the |
Value
A list containing:
forestAttributes |
a data frame reporting the error rates and other data from the randomForest(s). |
scaledImportance |
the data frame computed by |
Author(s)
Nicholas L. Crookston ncrookston.fs@gmail.com
Andrew O. Finley finleya@msu.edu
See Also
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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