compute_h_score: Compute H-Score for a single marker aggregated by '.by'

In akoyabio/phenoptrReports: Create reports using Phenoptics data

Description

Parameters are directly provided.

Usage

compute_h_score(csd, measure, tissue_categories, thresholds, .by = "Slide ID")

Arguments

csd	Cell seg data to use.
measure	The cell seg data column to measure (as a character string)
tissue_categories	A character vector of tissue category names of interest.
thresholds	Optional three element vector with the threshold values.
.by	Column to aggregate by

Value

A data frame with one row per Slide ID, showing cell counts and percents in each bin and the H-Score. The data frame has attributes measure and thresholds.

See Also

Other aggregation functions: compute_density_from_cell_summary(), compute_density_from_table(), compute_h_score_from_score_data(), compute_mean_expression_many(), compute_mean_expression(), compute_positivity_many(), compute_positivity(), count_phenotypes(), counts_to_percents()

akoyabio/phenoptrReports documentation built on Jan. 17, 2022, 6:22 p.m.