Find and plot cluster model parameters of multiple images in a boxplot

fit_cluster_model_multiple_images takes in a list containing image point patterns, specific phenotypes may be specified. The function outputs a list containing vectors containing kappa, estimated point intensity and mean cluster size. The function by default displays the data as boxplots

fit_cluster_model_multiple_images(
  image_point_patterns = NULL,
  phenotypes_of_interest = NULL,
  plot = 1
)

Arguments

image_point_patterns	list containing point pattern objects to be compared
phenotypes_of_interest	string vector containing name of cell phenotype of interest, can be a single or multiple phenotypes. By default it is not specified
plot	variable to indicate whether to plot the cluster model data, default is to plot, set to NULL if plot is not required

Details

Inputs - image_point_patterns: list of ppp objects to be analysed plot: Parameter to indicate whether plotting of data is necessary phenotypes_of_interest: Cell phenotypes to be considered when fitting the cluster model