This paper is from Session 4J: Sampling populations

which comes under Topic 4: Statistics education at the post secondary (tertiary) level

Other papers under session 4J ... 4J2: The use of Monte Carlo simulations in teaching survey sampling 4J3: Understanding sample survey theory with the...

(Tuesday 13th, 11:00-12:30)

Teaching survey sampling with the “sampling” R package

Presenter

• Alina Matei (University of Neuchâtel, Switzerland)

Co-author

• Yves Tillé (University of Neuchâtel, Switzerland)

Abstract

The R language is a free software environment for statistical computing and graphics. This software is complemented by almost 2000 packages developed by researchers. R is thus the most complete statistical software environment. At the University of Neuchâtel, Alina Matei and Yves Tillé have developed the ‘sampling’ R package that contains a set of tools for selecting and calibrating samples. Modern procedures, like the cube algorithm for selecting balanced samples or calibration with several distances and bounds, are implemented. This package is very easy to use and is thus an interesting tool for teaching. Simulations can be done very quickly. Different methods of sampling and calibration can be run and compared. We will present several exercises that can be done quickly and that allow a practical application of the sampling theory.

Other papers under session 4J ... 4J2: The use of Monte Carlo simulations in teaching survey sampling 4J3: Understanding sample survey theory with the...