errors: Precision constraints (maximum CVs) as input for Bethel...

In R2BEAT: Multistage Sampling Allocation and Sample Selection

Precision constraints (maximum CVs) as input for Bethel allocation

Description

Example data frame containing precision levels (expressed in terms of acceptable CV's).

Usage

data(beat.example)

Format

The constraint data frame (errors) contains a row per each type of domain with the following variables:

DOM

Type of domain code (factor).

CV1

Planned coefficient of variation for first variable (numeric).

CVj

Planned coefficient of variation for j-th variable (numeric).

CVn

Planned coefficient of variation for last variable (numeric).

Details

Note: the names of the variables must be the ones indicated above.

The coefficient of variation (CV) is a standardized measure of variance. It is often expressed as a percentage and is defined as the ratio between the standard deviation of the estimate and the estimate (or its absolute value).

Examples

## Not run: 
# Load example data
data(beat.example)
errors
str(errors)

## End(Not run)

R2BEAT documentation built on May 31, 2023, 7:19 p.m.