removeCorrelatedFeatures: Remove the highly correlated features
In xsultan/motsai: Detecting steps on various scenarios
Description
Usage
Arguments
Value
View source: R/removeCorrelatedFeatures.r
Description
Dropping the most redundant variables in a step wise fashion, the remaining variables along with the predicator are returned in a forumla.
Usage
1
2
removeCorrelatedFeatures(dataSource, predicator = "step", threshold = 0.9,
numberOfKnots = NULL)
Arguments
dataSource
the data frame to process.
predicator
the independent variable - default = step.
threshold
the adjusted R^2 cutoff for redundancy - default = 0.9
numberOfKnots
Number of knots - Specifying numberOfKnots=0 will force all effects to be linear which will speed up the process.
Value
text
xsultan/motsai documentation built on May 4, 2019, 1:26 p.m.
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Description Usage Arguments Value
View source: R/removeCorrelatedFeatures.r
Description
Dropping the most redundant variables in a step wise fashion, the remaining variables along with the predicator are returned in a forumla.
Usage
1 2 | removeCorrelatedFeatures(dataSource, predicator = "step", threshold = 0.9,
numberOfKnots = NULL)
|
Arguments
dataSource |
the data frame to process. |
predicator |
the independent variable - default = step. |
threshold |
the adjusted R^2 cutoff for redundancy - default = 0.9 |
numberOfKnots |
Number of knots - Specifying numberOfKnots=0 will force all effects to be linear which will speed up the process. |
Value
text
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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