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Welcome to uRos2018

The 6th Conference on the Use of R in Official Statistics (uRos2018) will take place from 12 to 14 September 2018 at the CBS in the Hague. The 6th Conference on the Use of R in Official Statistics (uRos2018) will take place from 12 to 14 September 2018 at the Dutch Office for National Statistics (CBS) in the Hague.

Over the last two decades R has become the lingua franca for statisticians, methodologists and data scientists worldwide. The reasons why the official statistics community is rapidly embracing R are clear: it has an active worldwide community of users, there is wide support from the industry and it combines a vast amount of functionality for data preparation, methodology, visualisation and application building. Moreover, R-based software is exchanged through strictly enforced technical standards:

“R is probably the most thoroughly validated statistics software on Earth.” – Uwe Ligges, CRAN maintainer (useR!2017).

Finally, R is a truly Free (libre) Open Source software product, making it an ideal environment for sharing, collaboration and industrialising official statistics.

The “use of R in Official Statistics” started as a local conference at the Statistical Office of Romania in 2013, with the first international edition being held at that same office in 2014. This year, Statistics Netherlands is proud to host the sixth edition of this event, which will bring together official statisticians, scientists, and prominent members of the R community to share ideas on using and developing R tools in the area of official statistics.

About the venue

The Hague (Dutch: Den Haag) is the seat of government in the Netherlands and the capital city of the province of South Holland. With a population of about 515,000 inhabitants and more than one million inhabitants including the suburbs, it is the third largest city of the Netherlands after Amsterdam and Rotterdam. Located on the west coast of the Netherlands, The Hague offers excellent shopping and dining, cultural sights and the beach (Scheveningen), all easily accessible by public transportation and by car.

Most foreign embassies in the Netherlands and 150 international organisations are located in the city, including the International Court of Justice and the International Criminal Court, which makes The Hague one of the major cities hosting the United Nations, along with New York, Geneva, Vienna, Rome and Nairobi.

For more information about The Hague, visit the tourist information site of The Hague.

We look forward to welcoming you to The Hague for uRos2018!


NOTE: registration is closed as we are sold out.

The conference fee is EUR 200 plus bank charges. Payments are accepted only through iDEAL, Pay Pal or by Credit Card.

Keynote Speakers

Alina Matei

Alina Matei is senior lecturer at the Institute of Statistics, University of Neuchâtel, Switzerland. Her main research interests include sample coordination, estimation in presence of nonresponse, sampling algorithms, variance estimation, etc., as well as computational aspects of sample surveys.

Alina is author or co-author of several articles and book chapters on these topics, and co-author and maintainer of the R package sampling.


Jeroen Ooms

Jeroen Ooms is postdoc with the rOpenSci group at UC Berkeley, California. He is an influential developer and has written a many important infrastructural packages that power the modern data science pipeline in R. His current work involves packages to facilitate encryption, text analysis and imaging in R.

As of 2017 Jeroen is also the official maintainer for R for Windows for which he builds and prepares the rtools compiler toolchain and official releases of base R.



Download the book of abstracts: uRos2018.pdf

Tinbergenzaal Methorstzaal Idenburgzaal
08.30-09.00 Registration
0.900-09.30 Spatial Analysis in R with open Geodata So your data is Tidy, but is it Clean? Fast and efficient data manipulation with data.table
10.30-11.00 Break
11.00-11.30 Spatial Analysis in R with open Geodata So your data is Tidy, but is it Clean? Fast and efficient data manipulation with data.table
12.30-13.00 lunch
13.30-14.00 Plotting Spatial data in R Use of R package SamplingStrata for the Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
15.00-15.30 Break
15.30-16.00 Plotting Spatial data in R Use of R package SamplingStrata for the Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Tinbergenzaal Methorstzaal Idenburgzaal
08.30-09.00 Registration
0.900-09.30 Opening Uros 2018

Keynote: Alina Matei

10.30-11.00 break
11.00-11.30 Sampling and Estimation R in Organisation
12.30-13.00 lunch
13.30-14.00 Data Cleaning R in Production: Data Analyses
15.00-15.30 break
15.30-16.00 Methods for Official Statistics Shiny application
19.00- Social dinner Luden
Tinbergenzaal Methorstzaal Idenburgzaal
08.30-09.00 coffee and thee
0.900-09.30 Keynote: Jeroen Ooms
10.00-10.30 Unconf presentations
10.30-11.00 break
11.00-11.30 Time Series Report and GUI programming R in production: Automation
12.30-13.00 lunch
13.30-14.00 Big Data Dissemination and Visualisation
15.00-15.30 Closing Remarks



Download the book of abstracts: uRos2018.pdf

Keynote Session I
Sample Cooridination and R Alina Matei
Keynote Session II
The R infrastructure and Windows build system Jeroen Ooms
Sampling and Estimation
Using R for variance estimation in social surveys Eleanor Law; Vahé Nafilyan;Ria Sanderson
Evaluation of estimation methods for a new survey of the UK’s Office for National Statistics (ONS) using R Konstantinos Soulanis
Easy Bootstrapping for Rotational Surveys with 'surveysd' Johannes Gussenbauer;Alexander Kowarik; Matthias Till
Variance estimation for annual point estimates and net changes for LFS using R package vardpoor Juris Breidaks
Lack-of-fit Testing Without Replicates Available – A Modern Clustering Approach Tyler George
R in Organization
From challenges to opportunities: The Romanian Case of Use R in Official Statistics Nicoleta Caragea;Ana-Maria Ciuhu;Raluca Mariana Dragoescu
Experiences in the migration to RStudio-Server in Statistics Austria Bernhard Meindl;Alexander Kowarik
(R)evolution of generalized systems and statistical tools at Statistics Canada Susie Fortier;Steven Thomas
How the Scottish Government is moving towards R Victoria Avila
Introducing R at Statistics Denmark – a not entirely completed how-to Peter Tibert Stoltze
Data Cleaning
Overlapping classification for autocoding system Yukako Toko;Shinya Iijima;Mika Sato-Ilic
SelEdit... - a collection of R packages to implement some optimization-based selective editing techniques Elisa Esteban;Soledad Saldaña;David Salgado
Comparison of multivariate outlier detection methods for nearly elliptically distributed data Kazumi Wada; Mariko Kawano; Hiroe Tsubaki
Errorlocate: finding errors in data Edwin de Jonge
R in Production - Analyses
Two main uses of R in Statistics Portugal: sampling and confidentiality Pedro Sousa;Conceição Ferreira;Inês Rodrigues;Pedro Campos
Using R for analysis and production of Price Indices for the Production and Services sector of the economy Matt Mayhew
Transforming Health and Social Care Publications in Scotland Anna Price; David Caldwell; Ewout Jaspers; Maighread Simpson
Macroeconomic Statistical Forecasting for Engine Demand Ankit Kamboj; Debojyoti Samadder;Ambica Rajagopal
Methods for Official Statistics
Optimal Boundary Value for Creating Anonymized Microdata: Empirical Analysis based on Economic Survey Data Yutaka Abe; Kiyomi Shirakawa; Ryota Chiba
Reclin: a package for record linkage and deduplication Jan van der Laan
R packages for optimal stratified sampling: a review and compared evaluation Marco Ballin; Giulio Barcaroli
A First Step towards Statistical Disclosure Control on Multiple Tables Under the Presence of Differential Attacks Kazuhiro Minami; Yutaka Abe
An All-In-One R Application For Validating Model Assumptions In Linear Regression Analysis With Visualizations Joy Chioma Nwabueze; Chisimkwuo John (CANCELLED)
Rumble, a shiny application for Modelling Bayesian Linear Estimation using R-Inla Package Ferdian Fadly [CANCELED]
The Use of R Shiny at the U.S. Bureau of Labor Statistics Brandon Kopp
Development of R Shiny Dashboard on Pattern and Characteristics of Tuberculosis Incidence in Malaysia Kamarul Ariffin Mansor;Nurhuda Ismail;Asmahani Nayan;Abd Razak Ahmad [CANCELLED]
Interactive data visualization web-based application using R-Shiny Houssam Hachimi [CANCELLED]
Time Series
Estimating Differential Mortality from EU-SILC UDB Longitudinal Data Tobias Göllner;Johannes Klotz
Investigating Chaos in Time Series: Evidence from the Cryptocurrency Market Sami Diaf
Combining JDemetra+ and R for Analysing and Visualising Time Series in Official Statistics Atanaska Nikolova
rtrim – an R implementation of Trends and Indices in Monitoring data Patrick Bogaart;Mark van der Loo;Jeroen Pannekoek
Report and GUI programming
A Corporate Design Toolbox for R Thomas Lo Russo
Alternative to LaTeX for high quality report generation with {rmarkdown} Romain Lesur
Easily translatable Shiny applications Matjaž Jeran
Responsive, web-based graphical user interfaces to R Adrian Dusa
R in production - Automation
Introduction to 'flagr' Salvati Matteo;Mészáros Mátyás
An internal package for automated metadata documentation Matthias Gomolka
Using R for data cleaning, integration and estimation challenges in Statistics Poland - some conclusions after VIP.ADMIN project Beręsewicz Maciej;Pawlikowski Dawid
R's Shiny package and Survey Solutions for (Active) Survey Management Michael Wild (CANCELLED)
Big Data
pestim - an R package to compute population estimations using
mobile phone data
Bogdan Oancea;David Salgado;Luis Sanguiao;Antoniade Ciprian Alexandru
Evidence for the use of alternative data sources to track consumer and business confidence within emerging markets using sentiment based techniques Hanjo Odendaal
coder: An R-package for fast classification of item data into groups Erik Bülow
Dissemination and Visualisation
Use of Choropleth Maps for Regional Statistics Jillian Delaney [CANCELLED]
How R is improving the dissemination of statistics within the Department for Work and Pensions Aoife O’Neill
Using R to access official data from the Guatemalan National Institute of Statistics Oscar F. de León
Canadian Consumer Price Index (CPI) Dashboard built using R Shiny Manolo Malaver-Vojvodic


unconfUROS hackathon

unconfUROS is a 2-day hackaton where we bring together an enthusiastic group of R programmers to build R packages or applications that are of interest for Official Statistics. The event precedes the uRos2018 conference, at 10-11 September 2018.

What are we building?

Some ideas have been developed, but please submit your own through the github repository:

Ideas are welcome, also if you do not want to participate actively.

Why participate?

  • Work with and learn from a group of excellent R programmers
  • Free lunch :-)
  • A chance to present the work done at uRos2018
  • FUN!

What do you expect from participants?

We would like participants to have some experience with R programming and the ability to work with git/GitHub.

How to participate – we are fully booked!

As of 13 August, the unconfUROS event is fully booked, so no other applicants will be considered.

Important dates

  • 31 May 2018: Call for abstracts is now closed
  • 30 June 2018: Notification of acceptance
  • 07 September 2018: Deadline for paper submission
  • 10-11 September 2018: unconfUROS
  • 12 September 2018: Tutorial sessions
  • 13-14 September 2018: Scientific conference

Call for abstracts and tutorials

Authors with an accepted abstract can submit a paper for one of the journal special issues as described below. The call for abstracts is now closed.

Papers for Special Journal Issues

Authors who whish to do so may submit a paper for consideration in one of two special journal issues.

A maximum of ten selected research papers will be published in a special issue of the Romanian Statistical Review and additionally a maximum of five papers will be published in a special issue of Austrian Journal of Statistics. Both publications are subjected to passing the standard peer review process.

Papers should be submitted no later than 7 September 2018 to the uRos2018 secretariat via

Please make sure to follow the RSR author guidelines or respectively the AJS author guidelines and indicate in your submission in which journal you wish to publish your article.

About the journals

The RRS is under the coverage of the Web Of Science Core Collection - Emerging Sources Citation Index (ESCI), a Clarivate Analytics database. It aims to provide a favourable space for exchange of ideas and a challenge at the same time. Any paper that can contribute to the understanding of statistics as a science is welcome. It is open-access without any fees. Special issue guest editors are Nicoleta Caragea and Alexander Kowarik.

The AJS journal is indexed at Scopus, Web of Science, and many other indices. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. It is open-access without any fees. Special issue guest editors are Nicoleta Caragea and Alexander Kowarik.


Henri Faasdreef 312
2492JP The Hague
The Netherlands

From The Hague Central Station: Take lightrail ´Randstadrail´ line 3 or 4 in the direction of Zoetermeer. Get off at “Leidschenveen” station. If you leave the platform you will see a footbridge ahead of you. This will lead you to the main entrance of the CBS building.

Route plan

Useful information

Passport and Visa

Participants may need a visa. Please check if a visa is needed for your country. To see if you need a visa to enter the Netherlands from your country, please click here: more information

If you require a visa letter, please contact our conference secretariat : Visa letters will be distributed until 10 August 2018.


The organisers do not take responsibility for individual medical, travel or personal insurance and all delegates are strongly advised to have their own personal insurance before travelling to the conference. The organisers will not accept any liability for damages and/or losses of any kind which may be incurred by conference participants or by any persons accompanying them, both during official activities.


The delegates participate in all events at their own risk. Participants are advised to insure themselves against loss, accidents or damage that could be incurred during the conference. Verbal agreements will not be binding unless they are confirmed in writing. Dutch law is applicable.


The Netherlands uses the euro (€) as its official currency. International credit cards and debit cards are also accepted for payment in most hotels, restaurants and shops.


Travelling by OV Chipcard

If you want to use public transport in The Hague, you need an OV Chipcard. Information about the OV Chipcard

It is useful to buy an anonymous OV Chipcard for 10 euros and deposit credit on it for travelling.

Travelling from the airport

If you want to travel from the airport by train, you can either buy a train ticket or you can purchase the OV Chipcard at the train station. It takes about 30 minutes to get from Schiphol Amsterdam train station to The Hague Central Station by train for itineraries, visit the NS website.

Tourist information

Tourist information and travel tips about The Hague can you find at the VVV The Hague.

Hotels accommodation

A selection of convenient located hotels, all situated in the centre of The Hague, are listed below.

Hampshire Hotel, Babylon Den Haag

The hotel is next to The Hague central station, 5 min walk to the city centre

Prices from €€€ per night

Address: Bezuidenhoutseweg 53, 2594 AC Den Haag

Hotel Ibis, Den Haag City Centre

The hotel is located in the centre of The Hague, close to nice restaurants and bars.

Prices from €€ per night

Address: Jan Hendrikstraat 10, 2512 GL Den Haag


Corona is located in the centre of The Hague, on the famous ‘Buitenhof’ and just a couple of minutes walking distance from Central Station.

Prices from €€ per night

Address: Buitenhof 39-40, 2513 AH Den Haag

Parkhotel Den Haag

In the middle of the “Hofkwartier” nearby the Great Church, adjacent to the Palace Gardens and Palace Noordeinde, the unique four-star hotel Parkhotel Den Haag is situated.

Prices from €€ per night

Address: Molenstraat 53, 2513 BJ Den Haag

Novotel Den Haag City Centre

Novotel Den Haag City Centre is a located in the historic Haagse Passage arcade right in the centre of the city.

Prices from €€ per night

Address: Hofweg 5-7, 2511 AA Den Haag

Hotel Mercure Den Haag

Mercure Hotel Den Haag Central is located in the vibrant heart of The Hague and is easily accessible by car and public transport. The hotel is within walking distance of several ministries, the bustling shopping centre and many theatres. The beach is just 15 minutes away.

Prices from €€ per night.

Address: Spui 180, 2511 BW Den Haag

NH Hotel Den Haag

NH Den Haag hotel sits on the top few floors of The Hague’s World Trade Centre building. It gets fantastic views across the city and puts you in easy reach of both the government and business districts. Plus the historic city centre is just 5 minutes away by public transport.

Prices from €€€ per night

Address: Prinses Margrietplantsoen 100, 2595 BR Den Haag

Code of Conduct

Organizers, speakers, registered participants, and sponsors of the uRos2018 conference and/or unconfUROS hackathon, as well as persons or organizations following and discussing the conference through (social) media or internet are required to follow this Code of Conduct. We shall refer to the combined group as ‘participants’ of the uRos2018 conference.

Privacy: participants respect each other’s privacy. In particular it is not allowed to systematically gather information on organizers, speakers and (registered) participants, including but not limited to personal life, professional position, political views, social media outings, open source contributions, or pictures.

Open: participants are open to collaboration, whether it’s on projects, working groups, packages, problems, or otherwise. Participants are receptive to constructive comment and criticism, as the experiences and skill sets of other participants contribute to the whole of our efforts. Participants are accepting of anyone who wishes to take part in their activities, fostering an environment where all can participate and everyone can make a difference.

Respectful: participants are respectful of others, their positions, their skills, their commitments, and their efforts. They are respectful of the volunteer efforts that permeate the R community. In the case of disagreement, participants are courteous in raising their issues. Participants are attentive in communications, whether in person or online, and tactful when approaching differing views. They refrain from demeaning, discriminatory, or harassing behaviour and speech.

Considerate: participants are considerate of their peers — fellow uRos2018 participants. They are thoughtful when addressing the efforts of others, keeping in mind that oftentimes the labour was completed simply for the good of the community.

In case of violation, participants may be removed from the premises or blocked from communication with the organization. Where relevant, the proper authorities or organizations will be informed of inappropriate behaviour.


This code of conduct is based on he R Community Code of Conduct by the R consortium


100 Participants from 32 countries.


The presentations are uploaded in a separate page: link


Conference board

  • Alexander Kowarik (Statistics Austria)
  • Ana Maria Ciuhu (Statistics Romania)
  • Bogdan Oancea (Statistics Romania, University of Bucharest)
  • Ciprian Alexandru (Statistics Romania, Ecological University of Bucharest)
  • Nicoleta Caragea (Statistics Romania, Ecological University of Bucharest)
  • Mark van der Loo (Statistics Netherlands)
  • Tudorel Andrei (President of Statistics Romania, Bucharest University of Economic Studies)

Scientific Board

  • Adrian Dusa (University of Bucharest, Romania)
  • Bernhard Meindl (Statistics Austria, Austria)
  • Claudiu Herteliu (Bucharest University of Economic Studies, EMOS Board, Romania)
  • Edwin de Jonge (Statistics Netherlands, The Netherlands)
  • Elena Druica (University of Bucharest, Romania)
  • Gergely Daróczi (System1, Hungary)
  • Guido Schulz (Destatis, Germany)
  • Kamarul Ariffin Mansor (MARA University of Technology, Malaysia)
  • Kazumi Wada (National Statistics Center, Japan)
  • Marcello d’Orazio (FAO, Rome, Italy)
  • Marius Nicolae Jula (University of Bucharest, Romania)
  • Matthias Templ (ZHAW school of engineering, Switzerland)
  • Matyas Meszaros (Eurostat, Luxemburg)
  • Michael Wild (World Bank and University of Southampton, UK)
  • Mihaela Paun (University of Bucharest)
  • Valentin Todorov (UNIDO, Vienna Austria)


  • Statistics Netherlands
  • Statistics Austria
  • National Institute of Statistics - Romania
  • Ecological University of Bucharest
  • The University of Bucharest


If you have any questions, please do not hesitate to contact the secretariat. email:

Sponsors of R-omanian Team