swisserrors

Dataframe containing precision levels (expressed in terms of acceptable CV's)

datasets

In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package. M.Ballin, G.Barcaroli (2020) <arXiv:2004.09366> "R package SamplingStrata: new developments and extension to Spatial Sampling".

Giulio Barcaroli

SamplingStrata

Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys

swisserrors function

The constraint data frame (swisserrors) contains a row per each domain value with the following variables:<dl>
 <dt>DOM</dt>
<dd>Type of domain code (factor)</dd>
 
 <dt>CV1</dt>
<dd>Planned coefficient of variation for first variable Y1 (number of men and women aged between 0 and 19) (numeric)</dd>
 
 <dt>CV2</dt>
<dd>Planned coefficient of variation for second variable Y2 (number of men and women aged between 20 and 39) (numeric)</dd> <dt>CV3</dt>
<dd>Planned coefficient of variation for third variable Y3 (number of men and women aged between 40 and 64) (numeric)</dd>
 
 <dt>CV4</dt>
<dd>Planned coefficient of variation for forth variable Y4 (number of men and women aged between 65 and over) (numeric)</dd>
 	
 <dt>domainvalue</dt>
<dd>Value of the domain to which the constraints refer (numeric)</dd> 
</dl>

Format

Precision constraints (maximum CVs) as input for Bethel allocation — swisserrors

The constraint data frame (swisserrors) contains a row per each domain value with the following variables:<dl>
 <dt>DOM</dt>
<dd>Type of domain code (factor)</dd>
 
 <dt>CV1</dt>
<dd>Planned coefficient of variation for first variable Y1 (number of men and women aged between 0 and 19) (numeric)</dd>
 
 <dt>CV2</dt>
<dd>Planned coefficient of variation for second variable Y2 (number of men and women aged between 20 and 39) (numeric)</dd>

 <dt>CV3</dt>
<dd>Planned coefficient of variation for third variable Y3 (number of men and women aged between 40 and 64) (numeric)</dd>
 
 <dt>CV4</dt>
<dd>Planned coefficient of variation for forth variable Y4 (number of men and women aged between 65 and over) (numeric)</dd>
 	
 <dt>domainvalue</dt>
<dd>Value of the domain to which the constraints refer (numeric)</dd>

 
</dl>

swisserrors: Precision constraints (maximum CVs) as input for Bethel allocation

Description

Usage

Arguments

Format

Examples