summarize_simple_random: Summarize simple random sample
In SilviaTerra/forestsamplr: Standard Forest Sampling Design Workups

Description Usage Arguments Value Author(s) Examples

Summarizes population-level statistics for simple random sample 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, hence the sampleSize terms in the denominators.

1 2	summarize_simple_random(data, attribute = "attr", popSize = NA, desiredConfidence = 0.95, infiniteReplacement = F)

`data`	data frame or vector containing observations of variable of interest. Variable of interest must already be expanded to the level of interest (e.g. stand-level).
`attribute`	character name of attribute to be summarized. Must be defined if data is input as a data frame.
`popSize`	numeric population size. Defaults to NA (unknown popSize).
`desiredConfidence`	numeric desired confidence level (e.g. 0.9).
`infiniteReplacement`	logical true if sample was done with replacement or from an infinite population. False if sampled without replacement, from a finite population. Defaults to False.

a data frame of population mean, variance, standard error, and high and low confidence limits.

Karin Wolken

## Not run: 
#trainingDataFrame
data <- data.frame(bapa = c(120, 140, 160, 110, 100, 90),
  plots = c(1, 2, 3, 4, 5, 6))
#trainingVector
data <- c(120, 140, 160, 110, 100, 90)
attribute <- 'bapa'
desiredConfidence <- 0.9

## End(Not run)