ssmdEffect.fn {CGManalyzer}

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")