cut_to_classes: Cuts the Values Column into Classes and Polishes the Labels

In ropengov/eurostat: Tools for Eurostat Open Data

Cuts the Values Column into Classes and Polishes the Labels

Description

Categorises a numeric vector into automatic or manually defined categories and polishes the labels ready for used in mapping with ggplot2.

Usage

cut_to_classes(
  x,
  n = 5,
  style = "equal",
  manual = FALSE,
  manual_breaks = NULL,
  decimals = 0,
  nodata_label = "No data"
)

Arguments

x	A numeric vector, eg. values variable in data returned by get_eurostat().
n	A numeric. number of classes/categories
style	chosen style: one of "fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", "jenks", "dpih", "headtails", "maximum", or "box"
manual	Logical. If manual breaks are being used
manual_breaks	Numeric vector with manual threshold values
decimals	Number of decimals to include with labels
nodata_label	String. Text label for NA category.

Value

a factor.

Author(s)

Markus Kainu [e-mail]

See Also

classInt::classIntervals()

Other helpers: dic_order(), eurotime2date(), eurotime2num(), harmonize_country_code(), label_eurostat()

Examples

# lp <- get_eurostat("nama_aux_lp")
lp <- get_eurostat("nama_10_lp_ulc")
lp$class <- cut_to_classes(lp$values, n = 5, style = "equal", decimals = 1)

ropengov/eurostat documentation built on Jan. 19, 2024, 8:10 p.m.