nzv: Remove Zero variance Columns from a data frame
In michaelquinn32/adventureR: Functions for the Big Blog of R Adventures.
Description
Usage
Arguments
Value
Functions
Description
The predicate function zero_variance checks to see if the variance of a column
is lower than a pre-defined threshold. The function nzv applies the predicate
to a data frame and drops the columns that fail the test.
Usage
1
2
3
nzv(.data, .target = "target", .thresh = 1e-04)
zero_variance(.col, .thresh)
Arguments
.data
A data frame
.thresh
A minimal theshold for non-zero variance
.col
A column of a data frame
Value
A data frame with the zero variance columns removed
Functions
-
zero_variance: Predicate function to see if a column is zero variance
michaelquinn32/adventureR documentation built on May 22, 2019, 9:52 p.m.
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Description Usage Arguments Value Functions
Description
The predicate function zero_variance checks to see if the variance of a column
is lower than a pre-defined threshold. The function nzv applies the predicate
to a data frame and drops the columns that fail the test.
Usage
1 2 3 | nzv(.data, .target = "target", .thresh = 1e-04)
zero_variance(.col, .thresh)
|
Arguments
.data |
A data frame |
.thresh |
A minimal theshold for non-zero variance |
.col |
A column of a data frame |
Value
A data frame with the zero variance columns removed
Functions
-
zero_variance: Predicate function to see if a column is zero variance
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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