pc.order: Order factor levels with PCA approach
In mnwright/simpleRF: Random Forests with emphasis on simplicity
pc.order R Documentation
Order factor levels with PCA approach
Description
Order factor levels with PCA approach
Usage
pc.order(y, x)
Arguments
y
Response factor.
x
Covariate factor.
Value
Ordered factor levels
Author(s)
Marvin N. Wright
References
Coppersmith, D., Hong, S.J. & Hosking, J.R. (1999) Partitioning Nominal Attributes in Decision Trees. Data Min Knowl Discov 3:197. https://doi.org/10.1023/A:1009869804967.
mnwright/simpleRF documentation built on March 28, 2022, 8:57 a.m.
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| pc.order | R Documentation |
Order factor levels with PCA approach
Description
Order factor levels with PCA approach
Usage
pc.order(y, x)
Arguments
y |
Response factor. |
x |
Covariate factor. |
Value
Ordered factor levels
Author(s)
Marvin N. Wright
References
Coppersmith, D., Hong, S.J. & Hosking, J.R. (1999) Partitioning Nominal Attributes in Decision Trees. Data Min Knowl Discov 3:197. https://doi.org/10.1023/A:1009869804967.
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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