Learn R Programming

rADA (version 1.1.9)

Statistical Analysis and Cut-Point Determination of Immunoassays

Description

Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.

Copy Link

Version

Install

install.packages('rADA')

Monthly Downloads

195

Version

1.1.9

License

GPL-3

Maintainer

Emma Gail

Last Published

March 23rd, 2021

Functions in rADA (1.1.9)

calcCvStats

Calculate Coefficient of Variation
ImmunoAssay-class

Define ImmunoAssay class
mixedModel

Mixed model wrapper for assay dataframe
assayMelt

Melt Assay Dataset
scp

Calculate screening cut point
importAssay

Import assay as ImmunoAssay object
calcScpValues

Calculate screening cut point values for scp()
lognormAssay

Simulated Lognormal Dataset
evalBoxplot

Evaluate the Assays with Boxplots
excludeOutliers

Exclude Outliers from Melted Assay Dataframe
evalNorm

Normality Evaluation
scpForestPlot

Generate forest plot of SCP values