sample.size.floored.variance: Sample size floored variance

In kernelPhil: Kernel Smoothing Tools for Philology and Historical Dialectology

Description

Returns necessary sample size for a given power and dataset, but treats any standard deviation below 0.1 as 0.1

Usage

sample.size.floored.variance(alpha, margin, dependent.variable, weights)

Arguments

alpha	Numeric alpha.
margin	Numeric error margin.
dependent.variable	The variable being sampled as a vector.
weights	Numeric weights (if present) as a vector.

Value

A list containing the parameters and a data.frame with the smoothed estimates.

kernelPhil documentation built on Feb. 25, 2021, 5:08 p.m.