| estm {samplesizeestimator} | R Documentation |
Sample size for estimating single mean
Description
This function computes adequate sample size based on the method of estimating mean with absolute or relative precision. It can be used for descriptive studies where the researcher wishes to describe the distribution of one or more quantitative outcome variables without looking at their causal relationship and hypothesis testing.
Usage
estm(mean, sig, prec, alp, relative = FALSE)
Arguments
mean |
anticipated population mean (required if relative precision is desired otherwise not required) |
sig |
anticipated population standard deviation |
prec |
desired level of precision on either side of the population mean |
alp |
level of significance or accepted level of probability of type I error |
relative |
a logical argument indicating relative or absolute precision ( |
Value
number needed to estimate mean within the desired precision level
Author(s)
R. Amala, Scientist-C, ICMR-VCRC, Puducherry & G. Kumarapandiyan, Asst. Prof., Madras Christian College, Chennai
References
Lwanga, S. K., Lemeshow, S., & World Health Organization. (1991). Sample size determination in health studies: a practical manual. World Health Organization.
Examples
estm(sig=6.3,prec=1.2,alp=0.05,relative=FALSE)
estm(mean=14,sig=8,prec=0.1,alp=0.05,relative = TRUE)