| interaction_variable | R Documentation | 
Single-cell spatial-protein metric introduce by Steinhart et al in https://doi.org/10.1158/1541-7786.mcr-21-0411
interaction_variable(
  mif,
  mnames,
  r_range = NULL,
  num_permutations = 100,
  keep_permutation_distribution = FALSE,
  workers = 1,
  overwrite = FALSE,
  xloc = NULL,
  yloc = NULL
)
| 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 | 
object of class mif with the interaction variable derive slot filled
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