Plot a Heatmap of Experimental Data — plot

Generates a heatmap based on experimental observation data, using plot_x and plot_y coordinates and coloring according to a selected disease variable (_PC columns).

Utilisation

plot_xpheat(
  self,
  stats = NULL,
  calculation_choices = NULL,
  max_y = NULL,
  flip_orientation = FALSE,
  yx_ratio = 0.3,
  resids = FALSE,
  midpoint = NULL,
  short_names = FALSE,
  ...
)

Arguments

self: An instance of the UserData R6 class
stats: character, the name of a stats list inside self$stats.
calculation_choices: vector of character, choice(s) of calculation to plot. For example c("FA UN_BER_PC","IA UN_BER_PC")
max_y: (optional) Numeric. Maximum value for the fill color scale. If NULL, an automatic scale is calculated.
flip_orientation: TRUE or FALSE to control plot orientation. Default is FALSE. see ?ggplot2::coord_flip()
yx_ratio: specified ratio between the physical representation of data units on the axes. see ?ggplot2::coord_fixed()
resids: Logical. If TRUE, residuals are calculated from the linear model and plotted
midpoint: numeric, value of midpoint for fill_scale. Automatically set to 0 if resids = T or more than one calculation
short_names: to have shorter names for fill removing the last part of the string after the last space occurence
...: other parameters for labs (title, x, y,fill, caption). see ?ggplot2::labs()

Valeur de retour

A ggplot2 heatmap object.

Détails

Aggregates values by plot_id, taking the mean when multiple observations exist.
Useful for visualizing spatial patterns of disease in experimental trials.