README.md

In drsimonj/numvert: Numeric vector transformations

numvert

The goal of numvert is to help transform numeric vectors by way of functions that:

• Take a numeric vector as the first argument
• Return a numeric vector of the same length as input
• Start with num_

Installation

You can install numvert from github with:

# install.packages("devtools")
devtools::install_github("drsimonj/numvert")

Example

This example shows you how to conduct common rescaling operations with numvert:

# Create a normally distributed variable with a mean of 25 and SD of 5
x <- rnorm(1000, mean = 25, sd = 5)
hist(x)

Use numvert to standardise or normalise it:

library(numvert)

# Normalise between 0 and 1
x_norm <- num_normalize(x)
hist(x_norm)

# Standardise to have mean of 0 and SD of 1
x_std <- num_standardize(x)
hist(x_std)

drsimonj/numvert documentation built on May 29, 2019, 2:37 p.m.