summarize_simple_random_discrete: Summarize simple random sample for discrete attributes

In SilviaTerra/forestsamplr: Standard Forest Sampling Design Workups

Description

Summarizes population-level statistics for simple random sample for attribute data. The calculations are derived from Chapter 3 in Avery and Burkhart's (1967) Forest Measurements, Fifth Edition. The variance terms refer to the variance of the mean.

Usage

summarize_simple_random_discrete(data, attribute = "attr", popTot = NA,
  desiredConfidence = 0.95)

Arguments

data	data frame containing observations of variable of interest. Attribute must be coded as either TRUE and FALSE or 1 and 0.
attribute	character name of attribute to be summarized.
popTot	numeric population size. Equivalent to total number of individuals.
desiredConfidence	numeric desired confidence level (e.g. 0.9).

Value

data frame of stand-level statistics. Includes standard error and 95

Author(s)

Karin Wolken

Examples

## Not run: 
data <- data.frame(alive = c(T, T, F, T, F, F),
  tree = c(1, 2, 3, 4, 5, 6))
attribute = 'alive'
popTot = 50

## End(Not run)

SilviaTerra/forestsamplr documentation built on Jan. 3, 2020, 2:33 p.m.