strata

Dataframe containing information on strata in the frame

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

strata function

The strata data frame (strata) contains a row per stratum with the following variables:<dl>
 <dt>stratum</dt>
<dd>Identifier of the stratum (numeric)</dd> <dt>N</dt>
<dd>Number of population units in the stratum (numeric)</dd> <dt>X1</dt>
<dd>Value of first auxiliary variable X1 in the stratum (factor)</dd> <dt>Xi</dt>
<dd>Value of i-th auxiliary variable Xi in the stratum (factor)</dd> <dt>Xk</dt>
<dd>Value of last auxiliary variable Xk in the stratum (factor)</dd> <dt>M1</dt>
<dd>Mean in the stratum of the first variable Y1 (numeric)</dd> <dt>Mj</dt>
<dd>Mean in the stratum of the j-th variable Yt (numeric)</dd> <dt>Mn</dt>
<dd>Mean in the stratum of the last variable Y (numeric)</dd> <dt>S1</dt>
<dd>Standard deviation in the stratum of the first variable Y (numeric)</dd> <dt>Sj</dt>
<dd>Standard deviation in the stratum of the j-th variable Yt (numeric)</dd> <dt>Sn</dt>
<dd>Standard deviation in the stratum of the last variable Y (numeric)</dd> <dt>cens</dt>
<dd>Flag (1 indicates a take all straum, 0 a sampling stratum) (numeric) 
	Default = 0</dd> <dt>cost</dt>
<dd>Cost per interview in each stratum. Default = 1 (numeric)</dd> <dt>DOM1</dt>
<dd>Value of domain to which the stratum belongs (factor or numeric)</dd> 
</dl>

Format

Dataframe containing information on strata in the frame — strata

The strata data frame (strata) contains a row per stratum with the following variables:<dl>
 <dt>stratum</dt>
<dd>Identifier of the stratum (numeric)</dd>

 <dt>N</dt>
<dd>Number of population units in the stratum (numeric)</dd>

 <dt>X1</dt>
<dd>Value of first auxiliary variable X1 in the stratum (factor)</dd>

 <dt>Xi</dt>
<dd>Value of i-th auxiliary variable Xi in the stratum (factor)</dd>

 <dt>Xk</dt>
<dd>Value of last auxiliary variable Xk in the stratum (factor)</dd>

 <dt>M1</dt>
<dd>Mean in the stratum of the first variable Y1 (numeric)</dd>

 <dt>Mj</dt>
<dd>Mean in the stratum of the j-th variable Yt (numeric)</dd>

 <dt>Mn</dt>
<dd>Mean in the stratum of the last variable Y (numeric)</dd>

 <dt>S1</dt>
<dd>Standard deviation in the stratum of the first variable Y (numeric)</dd>

 <dt>Sj</dt>
<dd>Standard deviation in the stratum of the j-th variable Yt (numeric)</dd>

 <dt>Sn</dt>
<dd>Standard deviation in the stratum of the last variable Y (numeric)</dd>

 <dt>cens</dt>
<dd>Flag (1 indicates a take all straum, 0 a sampling stratum) (numeric) 
	Default = 0</dd>

 <dt>cost</dt>
<dd>Cost per interview in each stratum. Default = 1 (numeric)</dd>

 <dt>DOM1</dt>
<dd>Value of domain to which the stratum belongs (factor or numeric)</dd>

 
</dl>

strata: Dataframe containing information on strata in the frame

Description

Usage

Arguments

Format

Details

Examples