create_group: Subsets an Assay dataframe into smaller groups

In subhadeep1024/OMICsPCA: An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples

Description

This function subsests an user defined Assay into smaller groups according to user supplied instructions.

Usage

create_group(name, group_names = NULL,
                grouping_factor = NULL,
                comparison = NULL,
                condition = NULL
                )

Arguments

name	Name of the "MultiAssayExperiment"" object containing the assay data
group_names	A vector containing the user defined names of the groups to be created
grouping_factor	name of the dataframe on which grouping will be done
comparison	A vector of comparison symbols such as >, <, ==, >=, <=,%in%, etc
condition	A vector of conditions corresponding to 'comparison'. "condition"" should be a vector or range of digits (e.g. c(1,3,7,9) or 1:5) if%in% is chosen as comparison. Otherwise, a single digit should be chosen.

Value

returns the group membership of individuals as a dataframe

Author(s)

Subhadeep Das <[e-mail]>

Examples

groupinfo <- create_group(name = multi_assay,
group_names = c("WE","RE","NE","IntE"),
grouping_factor = "CAGE",
comparison = c(">=","%in%","==","%in%"),
condition = c("25","1:5","0","6:24"))

head(groupinfo)

subhadeep1024/OMICsPCA documentation built on March 17, 2020, 5:23 p.m.