The ‘Conference Report: Polish Academic R User Meeting’ article from the 2014-2 issue.

The first national conference “Polish Academic R User Meeting” (PAZUR) was held at the Poznan University of Economics from October 15–17, 2014. The organizers of the conference were the Department of Statistics at the Poznan University of Economics (PUE), the Department of Mathematical and Statistical Methods at the Poznan University of Life Sciences (PULS) and SKN Estymator, the students scientific association that resides at the Department of Statistics at the Poznan University of Economics. The honorary patronage of the conference took Professor Emil Panek, Dean of the Faculty of Informatics and Electronic Economy PUE and Professor Wiesław Koziara, Dean of the Faculty of Agronomy and Bioengineering PULS. In addition, patrons were the Branch in Poznan of the Polish Statistical Association, the Polish Biometric Society and the General Director of the Statistical Office in Poznan. The sponsors of the conference were: Revolution Analytics Company and Analyx as well as foundation SmarterPoland.

The main goal of the conference was to present the possibility of using
the statistical software environment R in various fields of science and
business, exchange experiences and integrate the R users in Poland. The
first day of the event was devoted to workshops focusing on spatial data
analysis, spatial data mining, processing large data sets with the
*data.table* package
(Dowle et al. 2014), survey data analysis with the
*survey* package
(Lumley 2004, 2014), data visualization, as well as the
introduction to the analysis of data in the statistical software
environment R. The workshop was attended by nearly 130 participants.
During the second and third day of the conference 29 presentations
concerning the variety of applications of R in the fields of
mathematics, biological sciences, economics and information technology
as well as business applications. The participation in the conference
was free of charge. There were two invited talks during the conference
presented by: dr hab. Katarzyna Kopczewska (Faculty of Economic
Sciences, University of Warsaw) entilted *Spatial modelling of economic
phenomenon in R* (in Polish: *Przestrzenne modelowanie zjawisk
ekonomicznych w R*) and dr hab. Przemysław Biecek (Interdisciplinary
Centre for Mathematical and Computational Modelling, University of
Warsaw) entitled *Project Beta and Bit, ULAM diagrams, data
visualisation in R – my analytical atelier* (in Polish: *Projekt Beta i
Bit, diagramy ULAM, wizualizacja z R, czyli o moim analitycznym
atelier*).

All the presentations from the conference are available at the webpage www.estymator.ue.poznan.pl/PAZUR and here.

The members of the organizing committee were: Maciej Beręsewicz (chairperson, Poznan University of Economics, Poznan Statistical Office), Joanna Zyprych-Walczack (Poznan University of Life Sciencies), Alicja Szabelska (Poznan University of Life Sciences) and Łukasz Wawrowski (Poznan University of Economics, Poznan Statistical Office).

Beside the two invited talks the conference participants presented the following 27 topics (in alphabetical order):

Adolfo Alvarez (Analyx): Mastering data frames with dplyr

Zbigniew Bartkowiak (Poznan Archaeological Museum): The impact of trimming and mixing ore of Wladyslaw Jagiello’s coins on the distribution of their weight

Maciej Beręsewicz (Poznan University of Economics): Small area statistics in R

Paweł Budzianowski (Adam Mickiewicz University): A copula-based multivariate analysis with R

Damian Chmura (Academy of Humanities and Technology in Bielsko-Biala): The use of the R package in teaching courses of biocoeno in the fields of study: Environmental protection and environmental engineering

Marcin K. Dyderski, Anna K. Gdula (Botanical Section students scientific foresters association in Poznan University of Life Sciences): Analysis of vegetation using vegan and eHOF packages

Marek Gągolewski (Systems Research Institute, Polish Academy of Sciences): Processing string using stringi package and ICU libraries

Jarosłąw Jasiewicz (Adam Mickiewicz University): GIS-R – Integrating geographic information systems and R

Paweł Kliber (Poznan University of Economics): R in the financial analysis

Paweł Kleka (Adam Mickiewicz University): From the data to publication. Automatic formatting of the results using knitr package

Krzysztof Krawiec (Poznan University of Technology): Genetic progRamming

Marcin Kosiński (Warsaw University of Technology): Archiving artifacts with the Archivist package

Jakub Nowosad (Adam Mickiewicz University): Visualization of spatial data in R – from static to interactive map

Michał Okoniewski (ETH Zurich, Scientific IT Services): R with external data sources in genomics – Nonsense case study

Adrian Olszewski (KCR): GNU R in clinical trials – biostatistician workspace

Natalia Reszka (PBS): Integrating R and NetLogo agent systems simulations

Kamil Rotter (SKN Estimator, Poznan University of Economics): Internet as a source of data on the example of the Allegro service

Artur Schwałko (QuantUp): If / how R can replace Excel in the company?

Agnieszka Strzałka (University of Wroclaw): Using ggplot2 to visualize the growth of Streptomyces coelicolor

Alicja Szabelska, Joanna Zyprych-Walczak (Poznan University of Life Sciences): Using R in the analysis of RNA-seq data

Monika Szczerba, Marek Wiewiórka (Warsaw University of Technology): R + big (bio)data warehouses

Łukasz Wawrowski (Poznan University of Economics): Data analysis from social networking sites

Marek Wiewiórka (Warsaw University of Technology): Scala(-ble) R – R integration and the Scala language

Marek Wiewiórka (Warsaw University of Technology), Alicja Szabelska (Poznan University of Life Sciences), Michał Okoniewski (ETH Zurich, Scientific IT Services): Disease gene signature – the use of parallel R and machine learning with MLInterfaces

Adam Zagański (Wroclaw University of Technology/QuantUp): Analysis and forecasting of time series in R

Zygmunt Zawadzki, Daniel Kosiorowski (Cracow University of Economics): Robust data mining using depthproc package

Finance, HighPerformanceComputing, OfficialStatistics, Survival, TimeSeries, WebTechnologies

This article is converted from a Legacy LaTeX article using the texor package. The pdf version is the official version. To report a problem with the html, refer to CONTRIBUTE on the R Journal homepage.

M. Dowle, T. Short, S. Lianoglou, A. Srinivasan and with contributions from R. Saporta and E. Antonyan. *Data.table: Extension of data.frame.* 2014. URL http://CRAN.R-project.org/package=data.table. R package version 1.9.4.

T. Lumley. Analysis of complex survey samples. *Journal of Statistical Software*, 9(1): 1–19, 2004. URL http://www.jstatsoft.org/v09/i01.

T. Lumley. Survey: Analysis of complex survey samples. 2014. URL http://CRAN.R-project.org/package=survey. R package version 3.30.

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

For attribution, please cite this work as

Beręsewicz, et al., "Conference Report: Polish Academic R User Meeting", The R Journal, 2014

BibTeX citation

@article{RJ-2014-2-beresewicz-szabelska-zyprychwalczak-etal, author = {Beręsewicz, Maciej and Szabelska, Alicja and Zyprych-Walczak, Joanna and Wawrowski, Łukasz}, title = {Conference Report: Polish Academic R User Meeting}, journal = {The R Journal}, year = {2014}, note = {https://rjournal.github.io/}, volume = {6}, issue = {2}, issn = {2073-4859}, pages = {187-189} }