interaction_variable {spatialTIME} | R Documentation |
Bivariate Interaction Variable
Description
Single-cell spatial-protein metric introduce by Steinhart et al in https://doi.org/10.1158/1541-7786.mcr-21-0411
Usage
interaction_variable(
mif,
mnames,
r_range = NULL,
num_permutations = 100,
keep_permutation_distribution = FALSE,
workers = 1,
overwrite = FALSE,
xloc = NULL,
yloc = NULL
)
Arguments
mif |
object of class 'mif' |
mnames |
a character vector or table with 2 columns indicating the from-to markers to assess |
r_range |
numeric vector of radii for which to calculate the interaction variable at |
num_permutations |
integer for how many permutations to use to derive the interaction estimate under CSR |
keep_permutation_distribution |
boolean for whether or not to keep all permutation results or average them |
workers |
integer for the number of CPU cores to use for permutations, markers, and spatial samples |
overwrite |
boolean for whether to overwrite existing interaction variable results |
xloc |
column name in spatial files containing the x location - if left NULL will average columns XMin and XMax |
yloc |
column name in spatial files containing the y location - if left NULL will average columns YMin and YMax |
Value
object of class mif with the interaction variable derive slot filled