scp {rADA} | R Documentation |
Calculate screening cut point
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)
[Package rADA version 1.1.9 Index]