calculateSummarizedCorrelationVector: Calculates correlation values between replicates for each...

View source: R/analyzeResults.R

calculateSummarizedCorrelationVectorR Documentation

Calculates correlation values between replicates for each condition matrix. Finally returns a matrix containing the results for all dataset

Description

Calculates correlation values between replicates for each condition matrix. Finally returns a matrix containing the results for all dataset

Usage

calculateSummarizedCorrelationVector(
  methodlist,
  allReplicateGroups,
  sampleGroupsWithReplicates,
  corrType
)

Arguments

methodlist

List containing normalized matrices for each normalization method

allReplicateGroups

Vector with condition groups matching the columns found in the normalization methods

sampleGroupsWithReplicates

Unique vector with condition groups present in two or more samples

corrType

Type of correlation (Pearson or Spearman)

Value

avgCorSum Matrix with column corresponding to normalization approaches and rows corresponding to replicate group


ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.