tfse (version 0.5.0)

min_var: Select columns with minimum amount of variance

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.

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.

Details

This function omits missing values.

Examples

# NOT RUN {
## 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)

# }