buildAModel: Builds a GLM model
In xsultan/activity_recognition: Detecting steps on various scenarios
Description
Usage
Arguments
Value
Description
Dropping the most redundant variables in a step wise fashion, the remaining variables are used to build a GLM model, then extract only the statistically significant variables and rebuild the model. Finally, generate the probability formula.
Usage
1
buildAModel(dataSource, predicator, forumla, threshold = 0.05)
Arguments
dataSource
the data frame to process.
predicator
the independent variable.
forumla
list of metrics concatenated with a plus.
threshold
the threshold of the significant variables
Value
text
xsultan/activity_recognition documentation built on May 4, 2019, 1:26 p.m.
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Description Usage Arguments Value
Description
Dropping the most redundant variables in a step wise fashion, the remaining variables are used to build a GLM model, then extract only the statistically significant variables and rebuild the model. Finally, generate the probability formula.
Usage
1 | buildAModel(dataSource, predicator, forumla, threshold = 0.05)
|
Arguments
dataSource |
the data frame to process. |
predicator |
the independent variable. |
forumla |
list of metrics concatenated with a plus. |
threshold |
the threshold of the significant variables |
Value
text
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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