cartography (version 1.3.0)

discretization: Discretization

Description

Discretization function.

Usage

discretization(v, nclass = NULL, method = "quantile")

Arguments

v

a vector of numeric values.

nclass

a number of classes

method

a discretization method; one of "sd", "equal", "quantile", "jenks","q6" or "geom" (see Details).

Value

A numeric vector of breaks

Details

"sd", "equal", "quantile" and "jenks" are classIntervals methods. The "q6" method uses the following quantile probabilities: 0, 0.05, 0.275, 0.5, 0.725, 0.95, 1. The "geom" method is based on a geometric progression along the variable values.

Examples

# Create the natality rate
var <- nuts2.df$birth_2008/nuts2.df$pop2008 * 1000

# Histogram
hist(var, probability = TRUE, nclass = 30)
rug(var)
moy <- mean(var)
med <- median(var)
abline(v = moy, col = "red", lwd = 3)
abline(v = med, col = "blue", lwd = 3)

# Quantile intervals
breaks <- discretization(v = var, nclass = 6, method = "quantile")
hist(var, probability = TRUE, breaks = breaks, col = "#F0D9F9")
rug(var)
moy <- mean(var)
med <- median(var)
abline(v = moy, col = "red", lwd = 3)
abline(v = med, col = "blue", lwd = 3)

# Geometric intervals
breaks <- discretization(v = var, nclass = 8, method = "geom")
hist(var, probability = TRUE, breaks = breaks, col = "#F0D9F9")
rug(var)
moy <- mean(var)
med <- median(var)
abline(v = moy, col = "red", lwd = 3)
abline(v = med, col = "blue", lwd = 3)