ssmdEffect.fn: function to derive the type of effect size based on SSMD...

In CGManalyzer: Continuous Glucose Monitoring Data Analyzer

function to derive the type of effect size based on SSMD values

Description

function to derive the type of effect size based on SSMD values

Usage

ssmdEffect.fn(ssmd.vec, criterion = c("mainType", "subType"))

Arguments

ssmd.vec	a vector for SSMD value
criterion	whether use the criterion for deriving the main effect type or the sub-type

Details

function to derive the type of effect size based on SSMD values

Author(s)

Xiaohua Douglas Zhang

References

Zhang XD, Zhang Z, Wang D. 2018. CGManalyzer: an R package for analyzing continuous glucose monitoring studies. Bioinformatics 34(9): 1609-1611 (DOI: 10.1093/bioinformatics/btx826).

Zhang XHD, 2011. Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-scale RNAi Research. Cambridge University Press, Cambridge, UK

Examples

SSMD.vec = c(-3.4, -5, 0.198, 0.055, 0.181, 2, 3, 1.5, 6, 0.25)
ssmdEffect.fn(SSMD.vec, criterion="subType")

CGManalyzer documentation built on July 26, 2023, 5:29 p.m.