power.chisq: Power calculations for chi-squared test

In powerAnalysis: Power Analysis in Experimental Design

Description

Power calculations for chi-squared test

Usage

power.chisq(es = NULL, df = NULL, n = NULL, power = NULL,
  sig.level = NULL)

Arguments

es	effect size. A numeric value or output of ES.chisq.gof, ES.chisq.assoc
df	degree of freedom
n	total number of observations
power	power of study
sig.level	significance level

See Also

ES.chisq.gof

ES.chisq.assoc

power.plot.chisq

Examples

## calculate power
power.chisq(es=0.16,df=1,n=530,sig.level=0.05)

## calculate sig.level
power.chisq(es=0.16,df=1,n=530,power=0.9576)

## calculate sample size
power.chisq(es=0.16,df=1,power=0.9576,sig.level=0.05)

## calculate effect size
power.chisq(df=1,n=530,power=0.9576,sig.level=0.05)

Example output

     Chi squared power calculation 

          Power = 0.9576021
    Effect_Size = 0.16
             df = 1
              n = 530
      sig.level = 0.05

NOTE: 'n' is the number of observations


     Chi squared power calculation 

          Power = 0.9576
    Effect_Size = 0.16
             df = 1
              n = 530
      sig.level = 0.05001906

NOTE: 'n' is the number of observations


     Chi squared power calculation 

          Power = 0.9576
    Effect_Size = 0.16
             df = 1
              n = 530
      sig.level = 0.05

NOTE: 'n' is the number of observations


     Chi squared power calculation 

          Power = 0.9576
    Effect_Size = 0.1600017
             df = 1
              n = 530
      sig.level = 0.05

NOTE: 'n' is the number of observations

powerAnalysis documentation built on May 2, 2019, 12:40 p.m.