RSamplingZ: Sample Size Calculator
Research Need
Determining sample sizes manually or relying on disjointed calculators frequently leads to statistical errors, underpowered study designs, and biased subject selection during population sampling in academic and industry research.
Technical Solution
Engineered RSamplingZ, an R package designed to streamline sample size estimation and subject selection workflows. The tool implements foundational parametric equations, including Cochran's Formula, Modified Cochran, and Mean-based estimation, alongside hypothesis-testing criteria such as Power and Mean and Power and Proportion.
Beyond theoretical computation, the package integrates programmatic sampling utilities directly linked to raw Master Lists, enabling researchers to perform automated simple random sampling and systematic sampling directly on population datasets.
Research Impact
Eliminates manual calculation errors, enforces statistical rigour in study design, and accelerates data collection workflows for researchers, analysts, and statisticians.
