plot_stack: plot_stack
In rasenior/ThermStats: Calculate statistics for thermal images

Create violin plots of raster stacks, such as those returned from stack_imgs. Useful to assess the distribution of data across replicates e.g. over time.

plot_stack(
  img_stack,
  n = 100,
  print_plot = TRUE,
  save_plot = FALSE,
  return_plot = FALSE,
  out_dir = NULL,
  file_name = NULL,
  file_ext = "png",
  fig_width = 8,
  fig_height = 9,
  fig_units = "cm",
  xlabel = NULL,
  ylabel = NULL,
  lab_size = 8,
  text_size = 6,
  point_size = 0.5,
  quant_linetype = "dotted",
  quant_colour = "black",
  y_breaks = waiver(),
  custom_theme = NULL
)

`img_stack`	The RasterStack to plot.
`n`	The number of pixels to sample from each raster. Defaults to 100.
`print_plot`	Should the resulting plots be printed? Defaults to FALSE.
`save_plot`	Should the resulting plots be saved? Defaults to TRUE.
`return_plot`	Should the resulting plots be returned? Defaults to FALSE.
`out_dir`	Path to directory where plots should be saved (if applicable).
`file_name`	Plot filename (if applicable).
`file_ext`	File extension. Defaults to '.png'.
`fig_width`	Figure width (if saved). Defaults to 8.
`fig_height`	Figure height (if saved). Defaults to 9.
`fig_units`	Figure dimension units (if saved). Defaults to "cm".
`xlabel`	Option to specify the x axis label.
`ylabel`	Option to specify the y axis label.
`lab_size`	Size of axis labels. Defaults to 8.
`text_size`	Size of axis text. Defaults to 6.
`point_size`	Point size for raw data. Defaults to 0.5
`quant_linetype`	Linetype for the upper and lower quantile lines. Defaults to "dotted".
`quant_colour`	Line colour for the upper and lower quantile lines. Defaults to "black".
`y_breaks`	Option to manually specify breaks in y axis. Defaults to `waiver()`, where breaks are computed by the transformation object (see `ggplot2::scale_colour_gradient`).
`custom_theme`	Option to replace existing theme with a customised `ggplot` theme. See `ggplot2::theme`.

plot_stack(img_stack = flir_stack, 
           n = 100,
           print_plot = TRUE,
           save_plot = FALSE,
           xlabel = "Time",
           ylabel = "Temperature",
           y_breaks = seq(25, 35, 1))
           
## Not run: 
# Specify custom theme
library(ggplot2)
custom_theme <- 
    theme_classic() + 
    theme(axis.title = element_text(size = 8),
          axis.text.x = element_text(size = 7,
          angle = 45,
          vjust = 0.5),
          axis.text.y = element_text(size = 7))
          
plot_stack(img_stack = flir_stack,
           print_plot = TRUE,
           save_plot = FALSE,
           custom_theme = custom_theme)

## End(Not run)