Precision constraints (maximum CVs) as input for Bethel allocation

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

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

if (FALSE) { # \dontrun{
# Load example data
data(beat.example)
errors
str(errors)
} # }