calculateAchievablep0:
Function to calculate largest p0 that the data are powered to test
Description
This function when given the parameters of a study to measure an ICC calculates what is the largest p0 that can be tested for at the specified power, alpha and number of tails.
Usage
calculateAchievablep0(p,k,alpha,tails,power,N)
Arguments
p
The intraclass correlation coefficient obtained in the study. No default.
k
The number of ratings of each subject. If missing default is 2.
alpha
The desired alpha for hypothesis testing. If missing default is 0.05.
tails
The number of trails for hypothesis test. If missing default is 2.
power
The desired power of the hypothesis test. If missing default is 0.80.
N
The number of subjects in the study. No default
Value
Returns a list with the following items:
resultFrame
A data frame consisting of columns p0,N,p,k,alpha,tails and power.
References
Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
##Calculate achieveable p0 for a given study with p=0.80,k=2,alpha=0.05,tails=2,power=0.80,N=30calculateAchievablep0(p=0.80,k=2,alpha=0.05,tails=2,power=0.80,N=30)