scp: Calculate screening cut point

In rADA: Statistical Analysis and Cut-Point Determination of Immunoassays

Description

This function will calculate the screening cut point from the melted assay.df

Usage

scp(
  assay.obj,
  category = NULL,
  distrib = c("normal", "nonparametric"),
  data.transf = FALSE,
  transf.method = c("log10", "ln"),
  rm.out = FALSE
)

Arguments

assay.obj	An ImmunoAssay object imported by importAssay
category	If assay.obj consists of more than 1 dataset, choose the category here to split dataset
distrib	Distribution selection to determine the cut point calculation. Two options: 'nonparametric' or 'normal'
data.transf	Should the data should be transformed before the cut point is calculated
transf.method	If data.transf is TRUE, which method should be used. Can choose between 'log10' and 'ln'.
rm.out	Should outliers be excluded from this analysis?

Value

An object of the class ImmunoAssay

Author(s)

Emma Gail

Examples

assay.obj <- importAssay(assay.df = lognormAssay, exp.name = 'Experiment1')
assay.obj <- scp(assay.obj, category = 'Experiment1', distrib = 'normal',
data.transf = TRUE, transf.method = 'log10', rm.out = FALSE)

rADA documentation built on March 24, 2021, 1:09 a.m.