umapPlot: Title Using an UMAP approach to plot the ML data projection...
In juanbot/G2PML:
Description
Usage
Arguments
Value
Examples
Description
This method can be useful to see how your diseas genes and your predicction are
scattered through a 2D UMAP plot.
Usage
1
umapPlot(fsdata, r = 0.6, ensemble)
Arguments
fsdata
The results from caret::featureSelection
r
It has the same meaning as in caret::featureSelection. Higher the value, most selective is the filter
to select which features appear in the plot.
ensemble
The result to call caret::ensembleLearnKFold
Value
A UMAP scatter plot based on the two UMAP dimensions for genes when using only the features from fsdata
as filtered by the value of r
Examples
1
umapPlot(fsdata=fspd,ensemble=pdmodel,r=0.4)
juanbot/G2PML documentation built on Aug. 1, 2020, 5:07 a.m.
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Description Usage Arguments Value Examples
Description
This method can be useful to see how your diseas genes and your predicction are scattered through a 2D UMAP plot.
Usage
1 | umapPlot(fsdata, r = 0.6, ensemble)
|
Arguments
fsdata |
The results from |
r |
It has the same meaning as in |
ensemble |
The result to call |
Value
A UMAP scatter plot based on the two UMAP dimensions for genes when using only the features from fsdata
as filtered by the value of r
Examples
1 | umapPlot(fsdata=fspd,ensemble=pdmodel,r=0.4)
|
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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