heatmaply (version 0.7.1)

normalize: Normalization transformation (0-1)

Description

An Empirical Normalization Transformation brings data to the 0 to 1 scale. This is similar to percentize in that it allows to compare variables of different scales, but it also keeps the shape of the distribution.

Usage

normalize(x, ...)

Arguments

x

a vector or a data.frame.

...

Currently ignored.

Value

A vector (or data.frame) after normalizing the numeric variables.

Examples

## Not run: 
# x <- mtcars
# x <- data.frame(x)
# x$am <- factor(x$am)
# x$vs <- factor(x$vs)
# heatmaply(percentize(x))
# heatmaply(normalize(x))
# 
# 
# x <- data.frame(a = 1:10, b = 11:20)
# x[4:6, 1:2] <- NA
# percentize(x)
# percentize(x[,1])
# 
# ## End(Not run)