fg_merge: Merges two flowGraph objects together.

In aya49/flowGraph: Identifying differential cell populations in flow cytometry data accounting for marker frequency

Merges two flowGraph objects together.

Description

Merges two flowGraph objects together.

Usage

fg_merge(
  fg1,
  fg2,
  method_sample = c("union", "intersect", "setdiff", "none"),
  method_phenotype = c("intersect", "setdiff", "none")
)

Arguments

fg1	flowGraph object.
fg2	flowGraph object.
method_sample	A string indicating how samples from flowGraph objects should be merged: union: keep all samples from both flowGraph objects; in this case method_phenotype must be intersect. intersect: keep only samples that exist in both fg1 and fg2. setdiff: keep only samples that exist in fg1 and not in fg2. none: keep all samples in fg1.
method_phenotype	A string indicating how phenotypes from flowGraph objects should be merged: intersect: keep only phenotypes that exist in both fg1 and fg2. setdiff: keep only phenotypes that exist in fg1 and not in fg2. none: keep all phenotypes in fg1.

Details

fg_merge is a generic function that merges the samples and phenotypes of two flowGraph objects. Note that if method_sample="union" then method_phenotype must be set to "intersect".

Value

flowGraph object.

See Also

flowGraph-class fg_extract_samples fg_extract_phenotypes fg_merge_samples

Examples

 no_cores <- 1
 data(fg_data_pos30)
 fg0 <- flowGraph(fg_data_pos30$count, class=fg_data_pos30$meta$class,
                 prop=FALSE, specenr=FALSE,
                 no_cores=no_cores)

 fg1 <- fg_extract_samples(fg0, fg_get_meta(fg0)$id[1:5])
 fg2 <- fg_extract_samples(fg0, fg_get_meta(fg0)$id[4:7])
 fg <- fg_merge(fg1, fg2, method_sample="intersect",
                          method_phenotype="intersect")
 fg_get_feature_desc(fg)

aya49/flowGraph documentation built on Feb. 4, 2024, 6:40 p.m.