.perform_partitioning {Bioi} R Documentation

## Return the group number for each localization.

### Description

Group PALM/iPALM localizations based on their physical separation distance

### Usage

.perform_partitioning(
input,
critDist,
use_prog_bar = TRUE,
run_parallel = FALSE,
num_cores = NULL,
partition_req = 5000,
parallel_call_depth = 3,
min_gap = NULL
)


### Arguments

 input A numeric matrix where each row is a localization and each column is a spatial axis. critDist The critical distance for which localizations nearer than this distance are deemed part of the same group. use_prog_bar TRUE/FALSE indicating whether a progress bar should be used. This is only available when run_parallel is FALSE. run_parallel TRUE/FALSE indicating whether operations should be performed in parallel. This is only valid if partitioning is performed. num_cores The number of cores to use if running in parallel. partition_req The minimum number of points required to create a new partition. parallel_call_depth The number of levels of partitioning that should be performed before terminating calls to run operations in parallel. The number of threads opened when running in parallel is equal to 2^(parallel_call_depth)*num_cores. min_gap The minimum width of any dimension created during partitioning.

### Details

PALM/iPALM data results in a list of spatial coordinates for fluorophore localizations. This function groups nearby localizations if they are within the provided critical distance from each other.

### Author(s)

Zach Colburn

[Package Bioi version 0.2.10 Index]