Simulates spatial data

Simulates a spatial point pattern with two cell types: background and immune.

Usage

sim_pp_data(
  lambda_n,
  abundance,
  markvar1 = "immune",
  markvar2 = "background",
  distribution = "hom",
  clust = FALSE
)

Arguments

lambda_n

Number of total cells in image

abundance

Percentage intensity for marker positive cells

markvar1

Marker positive cell type (default is "immune")

markvar2

Marker negative cell type (default is "background")

distribution

Determines whether the image is homogeneous ("hom") or inhomogeneous ("inhom")

clust

Determines whether an image is simulated with or without clustering (TRUE/FALSE)

Value

A point pattern object of class "ppp" from the spatstat package where the two cell types are background and immune.

Examples

if (requireNamespace("dplyr", quietly = TRUE) &&
   requireNamespace("ggplot2", quietly = TRUE) &&
   requireNamespace("tibble", quietly = TRUE) &&
   requireNamespace("magrittr", quietly = TRUE)) {
  pp_obj <- sim_pp_data(lambda_n = 200, abundance = 0.3)
  magrittr::`%>%`(
  tibble::as_tibble(pp_obj),
  ggplot2::ggplot(ggplot2::aes(x, y, color = marks))
  ) +
  ggplot2::geom_point()
}