powerAnalysis (version 0.2.1)

power.plot.chisq: Power analysis plot of chi-squared test

Description

Power analysis plot of chi-squared test

Usage

power.plot.chisq(es = NULL, power = NULL, df = NULL, sig.level = NULL, allele = FALSE, xlab = NULL, ylab = NULL, main = NULL, grid = FALSE, type = c("np", "ne"))

Arguments

es

effect size.

power

power of study

df

degree of freedom

sig.level

significance level

allele

in genetic association study, whether test allele or genotype

xlab

a title for the x axis

ylab

a title for the y axis

main

an overall title for the plot

grid

add grid lines or not

type

"np": plot sample size vs. power; "ne": plot effevct size vs. sample size

See Also

power.chisq

Examples

## 'ne' type
### multiple effect size and multiple power
es=seq(from=0.1,to=0.5,by=0.1);
power=seq(from=0.7,to=0.9,by=0.1);
power.plot.chisq(es=es,power=power,df=1,sig.level=0.05,type="ne")
power.plot.chisq(es=es,power=power,df=1,sig.level=0.05,type="np")

### multiple effect size and single power
power.plot.chisq(es=seq(0.05,0.3,0.05),power=0.8,df=1,sig.level=0.05,type="ne")
power.plot.chisq(es=seq(0.05,0.3,0.05),power=0.8,df=1,sig.level=0.05,type="np")

### single effect size and single power
power.plot.chisq(es=0.2,power=0.8,df=1,sig.level=0.05,type="ne")
power.plot.chisq(es=0.2,power=0.8,df=1,sig.level=0.05,type="np")

### single effect size and multiple power
power.plot.chisq(es=0.2,power=seq(0.5,0.9,0.1),df=1,sig.level=0.05,type="ne")
power.plot.chisq(es=0.2,power=seq(0.5,0.9,0.1),df=1,sig.level=0.05,type="np")