prune_corr: Iterative prunning of a set of variables by a certain...
In MoisesExpositoAlonso/moiR: A set of R functions for an easy life and analyses
Description
Iterative prunning of a set of variables by a certain correlation threshold.
Usage
1
prune_corr(thedata, threshold = 0.8, iterations = 10)
Arguments
thedata
A numeric matrix of variables
threshold
The threshold of correlation coefficient. Default 0.8
iterations
The algorithm function will stop when no more variables are correlated
over the specificed threshold or given a number of iterations. This is importante for big
datasets with thousands of variables, which perhaps is not that appropriate for the function.
MoisesExpositoAlonso/moiR documentation built on Dec. 24, 2021, 10:12 p.m.
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Description
Iterative prunning of a set of variables by a certain correlation threshold.
Usage
1 | prune_corr(thedata, threshold = 0.8, iterations = 10)
|
Arguments
thedata |
A numeric matrix of variables |
threshold |
The threshold of correlation coefficient. Default 0.8 |
iterations |
The algorithm function will stop when no more variables are correlated over the specificed threshold or given a number of iterations. This is importante for big datasets with thousands of variables, which perhaps is not that appropriate for the function. |
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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