filterPredictiveModelData: filterPredictiveModelData filters
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
Usage
Arguments
Value
Author(s)
Description
Filters feature and response data as specificied by the
users based on rows or columns that contain NAs. features
with low variance, or features not correlated with
response.
Usage
1
2
3
4
filterPredictiveModelData(featureData, responseData,
filterResponseNas = TRUE,
filterFeatureNasBy = "columns",
featureVarianceThreshold = 0, corPValThresh = NULL)
Arguments
featureData
responseData
Value
a list of the filtered feature and response data
Author(s)
Adam Margolin
Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.
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Description Usage Arguments Value Author(s)
Description
Filters feature and response data as specificied by the users based on rows or columns that contain NAs. features with low variance, or features not correlated with response.
Usage
1 2 3 4 | filterPredictiveModelData(featureData, responseData,
filterResponseNas = TRUE,
filterFeatureNasBy = "columns",
featureVarianceThreshold = 0, corPValThresh = NULL)
|
Arguments
featureData |
|
responseData |
Value
a list of the filtered feature and response data
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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