min_var: Select columns with minimum amount of variance

In tfse: Tools for Script Editing

Description

Filters numeric columns by requiring a minimum amount of variance

Usage

min_var(x, min = 1)

Arguments

x	Input data, which should be either a data frame or matrix.
min	Minimum amount of variance to require per column.

Details

This function omits missing values.

Value

Returns data frame (or matrix, depending on input class) with all non-numeric columns and only those numeric columns that meet the minimum amount of variance.

Examples

## set seed (for replication purposes)
set.seed(206195)

## create data set
d <- data_set(
  w = rnorm(100, 0, 0.0),
  v = rnorm(100, 0, 0.5),
  x = rnorm(100, 0, 1.0),
  y = rnorm(100, 0, 2.0),
  z = rnorm(100, 0, 3.0)
)

## minimum var of 1.0 (default)
min_var(d)

## min variance of 0.1
min_var(d, 0.1)

## min var of 2.0
min_var(d, 2.0)

## min var of 6.0
min_var(d, 6.0)

tfse documentation built on May 2, 2019, 11:28 a.m.