summary.imdanovaFilt: IMD-ANOVA Filter Summary

In pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data

IMD-ANOVA Filter Summary

Description

Provide summary of a imdanovaFilt S3 object

Usage

## S3 method for class 'imdanovaFilt'
summary(
  object,
  min_nonmiss_anova = NULL,
  min_nonmiss_gtest = NULL,
  comparisons = NULL,
  ...
)

Arguments

object	S3 object of class 'imdanovaFilt' created by imdanova_filter.
min_nonmiss_anova	integer value specifying the minimum number of non-missing feature values allowed per group for anova_filter. Defaults to NULL. Suggested value is 2.
min_nonmiss_gtest	integer value specifying the minimum number of non-missing feature values allowed per group for gtest_filter. Defaults to NULL. Suggested value is 3.
comparisons	data frame with columns for "Control" and "Test" containing the different comparisons of interest. Comparisons will be made between the Test and the corresponding Control (e.g. Control is the reference group).
...	further arguments passed to or from other methods

Value

If min_nonmiss_gtest or min_nonmiss_anova is specified, the number of biomolecules to be filtered with the specified threshold are reported.

Author(s)

Lisa Bramer

See Also

imdanova_filter

Examples

library(pmartRdata)
mypep <- group_designation(omicsData = pep_object, main_effects = "Phenotype")
myfilt <- imdanova_filter(omicsData = mypep)
summary(myfilt, min_nonmiss_anova = 2, min_nonmiss_gtest = 3)

pmartR documentation built on Oct. 15, 2024, 1:06 a.m.