plotPredictiveModelHeatmap: Plot a heatmap displaying predictive features selected by a...
In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.
Description
Plots a heatmap displaying selected features, with
regression weights displayed to the left of each feature,
and response values displayed below the feature heatmap.
Usage
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plotPredictiveModelHeatmap(coefs, featureData,
responseData, featureNames = NULL, featurePerc = NULL,
responseLabel = "", suffix, outputFile = NULL,
heatmapThresh = 3, responseName = "sensitivity",
cex.factor = 1)
Author(s)
Adam Margolin
Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.
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Description
Plots a heatmap displaying selected features, with regression weights displayed to the left of each feature, and response values displayed below the feature heatmap.
Usage
1 2 3 4 5 | plotPredictiveModelHeatmap(coefs, featureData,
responseData, featureNames = NULL, featurePerc = NULL,
responseLabel = "", suffix, outputFile = NULL,
heatmapThresh = 3, responseName = "sensitivity",
cex.factor = 1)
|
Author(s)
Adam Margolin
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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