Calculate sample size and power for association studies involving mitochondrial DNA haplogroups - Based on Samuels et al. AJHG, 2006. 78(4):713-720. DOI:10.1086/502682
install.packages("mthapower")# install.packages("devtools")
devtools::install_github("aurora-mareviv/mthapower")# install.packages("shiny")
shiny::runGist('5895082')library(mthapower)
library(dplyr)
mydata <- mthacases(p0=0.445, Nh=11,
OR.cas.ctrl=c(2), power=80,
sig.level=0.05) # Baudouin study
mydata <- mthacases(p0=0.445, Nh=11,
OR.cas.ctrl=c(1.25,1.5,1.75,2,2.25,2.5,2.75,3),
power=80, sig.level=0.05)
mydata <- mydata[c(2,6)]
mydata %>%
knitr::kable()# Example 2a:
# library(mthapower)
pow <- mthapower(n.cases=203, p0=0.443, Nh=13, OR.cas.ctrl=2.33, sig.level=0.05)
pow %>%
knitr::kable()# Example 2b:
# Create data frames
pow.H150 <- mthapower(n.cases=seq(50,1000,by=50), p0=0.433, Nh=11,
OR.cas.ctrl=1.5, sig.level=0.05)
pow.H175 <- mthapower(n.cases=seq(50,1000,by=50), p0=0.433, Nh=11,
OR.cas.ctrl=1.75, sig.level=0.05)
pow.H200 <- mthapower(n.cases=seq(50,1000,by=50), p0=0.433, Nh=11,
OR.cas.ctrl=2, sig.level=0.05)
pow.H250 <- mthapower(n.cases=seq(50,1000,by=50), p0=0.433, Nh=11,
OR.cas.ctrl=2.5, sig.level=0.05)
# Bind the three data frames:
bindata <- rbind(pow.H150,pow.H175,pow.H200,pow.H250)
# Adds column OR to binded data frame:
bindata$OR <- rep(factor(c(1.50,1.75,2,2.5)),
times = c(nrow(pow.H150),
nrow(pow.H175),
nrow(pow.H200),
nrow(pow.H250)))
# Create plot:
# install.packages("car")
library(car)
scatterplot(power~ncases | OR, regLine=FALSE,
smooth=FALSE,
boxplots=FALSE, by.groups=TRUE,
data=bindata)RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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