bi_pair_correlation: Bivariate Pair Correlation Function

In spatialTIME: Spatial Analysis of Vectra Immunoflourescent Data

Bivariate Pair Correlation Function

Description

Bivariate Pair Correlation Function

Usage

bi_pair_correlation(
  mif,
  mnames,
  r_range = NULL,
  num_permutations = 100,
  edge_correction = "translation",
  keep_permutation_distribution = FALSE,
  workers = 1,
  overwrite = FALSE,
  xloc = NULL,
  yloc = NULL,
  ...
)

Arguments

mif	object of class 'mif'
mnames	character vector or dataframe with 2 columns containing markers/marker combinations to run
r_range	numeric vector radii to measure
num_permutations	integer for the number of permutations to run
edge_correction	character string for which edge correction to implement for Ripley's K
keep_permutation_distribution	boolean whether to summarise the permutations or keep all
workers	integer for number of cores to use when calculating
overwrite	boolean for whether to overwrite existing bivariate pair correlation results
xloc	x location column in spatial files
yloc	y location column in spatial files
...	other variables to pass to '[spatstat.explore::pcfcross]'

Value

'mif' object with the bivariate_pair_correlation slot filled

spatialTIME documentation built on June 22, 2024, 10:35 a.m.