Customising map appearance

In this article we will describe different ways to customise the appearance of an antigenic map with for example different point colours, shapes and sizes. We’ll first describe the key functions and then go through an example.

Main point style functions

The main functions for controlling point style parameters are:

agFill() and srFill() for controlling the antigen and sera fill colour
agOutline() and srOutline() for controlling the antigen and sera outline colour
agOutlineWidth() and srOutlineWidth() for controlling the antigen and sera outline stroke width
agSize() and srSize() for controlling the antigen and sera point sizes
agShape() and srShape() for controlling the antigen and sera point shapes
agShown() and srShown() for controlling whether antigen and serum points are visible

Note that the primary supported shapes values are "circle", "box" and "triangle", but see below for details on further map customisation.

There is also the function ptDrawingOrder() which controls the order in which points are plotted according to their index in the map (numbering the antigens first then the sera).

An example of styling a map

 library(Racmacs)
map <- read.acmap(system.file("extdata/h3map2004.ace", package = "Racmacs"))
 
 # Rotate the map
map <- rotateMap(map, 210)
 
 # Colour all the antigens grey
 agFill(map) <- "grey50"
 
 # Colour all the vaccine antigens in red and increase their size
vaccine_strains <- c(
 "PC/1/73",
 "VI/3/75",
 "TE/1/77",
 "BA/1/79",
 "PH/2/82",
 "LE/360/86",
 "SH/11/87",
 "SI/2/87",
 "BE/353/89",
 "GU/54/89",
 "BE/32/92",
 "SD/9/93",
 "JO/33/94",
 "WU/359/95",
 "SY/5/97",
 "MW/10/99",
 "FU/411/02"
)
 
vaccine_ags <- agNames(map) %in% vaccine_strains
 agFill(map)[vaccine_ags] <- "red"
 agSize(map)[vaccine_ags] <- 8
 
 # Bring the antigens to the top of the plot
 ptDrawingOrder(map) <- c(
 seq_len(numSera(map)) + numAntigens(map), # Draw sera first
 which(!vaccine_ags), # Then draw non vaccine ags
 which(vaccine_ags) # The draw vaccine ags
)
 
 # Plot the map
 plot(map)