cut_to_classes {eurostat} | R Documentation |
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. |
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 markuskainu@gmail.com
See Also
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)
[Package eurostat version 4.0.0 Index]