run_trim: Trim samples or features in 'assayData' by Occurrences

In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description

trim samples or features in 'assayData' by Occurrences, which means the samples or features will be discard if they could not pass the cutoff.

Usage

run_trim(object, object=0.2, trim="Both")

Arguments

object,	Object; a ['matrix'] or ['assayData-class'] or ['ExpressionSet-class'].
cutoff,	Numeric; the threshold for triming (default: Cutoff=0.2).
trim,	Character; transformation to apply, the options inclulde: * "none", return the original data without any trim. * "both", trim the features and samples of profile more than cutoff. * "feature", trim the features of profile more than cutoff. * "sample", trim the samples of profile more than cutoff. * "Group", trim the features per Group, the samples of the profile more than cutoff, respectively.

Details

12/6/2021 Guangzhou China

Value

A trimed 'object' with profile more than cutoff.

Author(s)

Hua Zou

Examples

   data("ExprSet_species")
   run_trim(ExprSet_species, object=0.2, trim="both")

HuaZou/MyRtools documentation built on Jan. 6, 2022, 8:56 a.m.