EcdcColors: Colour palettes following the March 2018 ECDC guidelines for...

In TommiKarki/SurvColors: Surveillance colors according to March 2018 ECDC guidelines for presentation of surveillance data

Description

Full document: European Centre for Disease Prevention and Control. Guidelines for presentation of surveillance data. Stockholm: ECDC; 2018. Available from: Guidelines for presentation of surveillance data

Usage

EcdcColors(col_scale = "green", n = NULL, grey_shade = NULL,
  hot_cols = NULL)

Arguments

col_scale	Selected colour scale, defaults to 'green'. Select from 'green', 'blue', 'red', 'grey', 'qual(itative)' or 'hot(cold)'
n	Number of colours from each colour scale, apart from grey, in order indicated in the guidelines. Defaults to one colour, apart from two colours for the hotcold scale, max 7-8 colours for each scale. To select grey shades, use the argument grey_shade; to select number of hot (warm) colours in the hotcold scale, use the argument hot_cols.
grey_shade	Only used with grey colours, defaults to 'medium'. Selected shade(s) of grey in selected order; c('light', 'mediumlight','medium','mediumdark','dark'). Overrides given number of colours (n).
hot_cols	Selected number of hot (warm) colours in the hotcold colour scale, use only for hotcold. Must be smaller than the total number of colours (n). Defaults to floored half of total hotcold colours.

Author(s)

Tommi Karki

Examples

# Select three first green colours
EcdcColors("green", n=3)

# Select two first qualitative colours
EcdcColors("qual", n=2)

# Select seven red colours
EcdcColors("red", n=7)

EcdcColors("grey", grey_shade = c("mediumlight", "dark"))

# Use in a graph
# Dummy data
mydat <- data.frame(ID = c(seq(1,10,1)),
Gender = c(rep(c("F", "M"),5)))
barplot(table(mydat$Gender), col = EcdcColors(col_scale = "qual", n=2))

# Hot-cold colour scale
barplot(c(1:4), col = EcdcColors(col_scale = "hotcold", n = 4, hot_cols = 2))

TommiKarki/SurvColors documentation built on May 20, 2019, 2:57 p.m.