
Random generation of auxiliary variables 
In Schouten (2015, Discussion paper 201515, CBS, Den Haag, The Netherlands) and Schouten (2017, JRSS series B), Rindicators and coefficients of variation (CV) are evaluated under random generation of auxiliary variables. A framework is presented for various variablegenerating distributions and the expected amount of explained variation is derived. In the 2017 JRSSB paper, a data set extracted from the CentERdata LISSpanel, see www.lissdata.nl, features as an example. The data set and R code to reproduce the example are available here. The SPSS file contains a codebook.
You can download the following files:


Computation of Rindicators  Version 2.1 
An extended version of the RISQ 2 code in SAS and R was released at September 14, 2015. RISQ 2.1 estimates partial CV at the variablelevel and at the category level. Furthermore, it approximates standard errors for the overall CV and partial CV. The manual is extended and discusses the new indicators.
You can download the following files:
 The manual RISQ Manual Version 2
 The SAS code (Rindicators Version 2.0.(SAS)
 The R code (Rindicators Version 2.0 (R)


Computation of Rindicators  Version 2.0 
This is the new version of the RISQ code in SAS and R. It was released in February, 2014. RISQ 2 includes standard error approximations for all indicators, and it also has the coefficient of variation. Furthermore, bias adjustment has slightly changed with respect to version 1 of the code. The use of the functions is explained and illustrated in the manual.
You can download the following files:
 The manual RISQ Manual Version 2
 The SAS code (Rindicators Version 2.0.(SAS)
 The R code (Rindicators Version 2.0 (R)


Computation of Rindicators  Version 1.0 
The computation of Rindicators and partial Rindicators are implemented in SAS and R. The code for both SAS and R can be downloaded. The code contains all functions needed to compute
 Rindicators
 Unconditional partial Rindicators at the variable level and the category level
 Conditional partial Rindicators at the variable level and the category level
The use of the functions is explained and illustrated in the manual.
You can download the following files:


The program Cockpit 
Cockpit is a software tool that demonstrates the graphical possibilities of survey response analysis with Rindicators.Cockpit can generate in ann interactive way the following plots:
 Box plots of response probabilities for each category of an auxiliary variables
 Bar plots of unconditional Rindicators for sets of auxiliary variables
 Bar plots of unconditional Rindicators for the categories of an auxiliary variable
 Bar plots of conditional Rindicators for sets of auxiliary variables
 Bar plots of conditional Rindicators for the categories of an auxiliary variable
Cockpit requires a data file and a metadata file. Such files can be generated from SPSS or Stata files with R scripts that are included in the package. Also included is a demonstration data set with data form a Statistics Netehrlands survey.
It should be noted that Cockpit is just a demonstration tool and not a production tool. No bias correction is carried out in the computations of the various Rindicators.
A zipfile can be downloaded. This zipfile contains the following files:
 cockpit.exe (the program itself, non installation required)
 cockpit.pdf (the cockpit manual)
 gps.rin (sample metadata file)
 gps.dat (sample data file)
 exportspss.r (Rscript to export data and metadata from SPSS to Cockpit).
 exportstata.r (Rscript to export data and metadata from Stata to Cockpit).
Download cockpit


