Plot.VisualizeSupervise: Visualize High-dimensional data in a 3D scatter plot
In minh2182000/MToolBox:
Description
Usage
Arguments
Value
Description
Use dimension reduction (Principle Component Analysis) to visualize a classification/regression data in a 2D or 3D plot
Usage
1
Arguments
formula
regression or classification formula. If classification, the left hand side must be a factor or character. If regression, the left hand side must be numeric.
data
Data Frame or matrix for the formula
dim
Dimmension to be plotted. If null, will plot 2D if only 2 predictors, 3D otherwise.
Value
A list of: Plot: the plot, VarExplained: proportion of variance explained by each PC, TotalVarExplained: total proportion of variance explained by PCs
minh2182000/MToolBox documentation built on May 8, 2019, 3:14 a.m.
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Description Usage Arguments Value
Description
Use dimension reduction (Principle Component Analysis) to visualize a classification/regression data in a 2D or 3D plot
Usage
1 |
Arguments
formula |
regression or classification formula. If classification, the left hand side must be a factor or character. If regression, the left hand side must be numeric. |
data |
Data Frame or matrix for the formula |
dim |
Dimmension to be plotted. If null, will plot 2D if only 2 predictors, 3D otherwise. |
Value
A list of: Plot: the plot, VarExplained: proportion of variance explained by each PC, TotalVarExplained: total proportion of variance explained by PCs
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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