Time series assessment in the era of Stockholm Convention & GMP
Interactive publicationThis interactive web publication will guide you through an entire process of data analysis on time series of persistent organic pollutants (POPs) carried out in a framework of the GENASIS project. The analysis consists of eight steps  from visual inspection of the data to obtaining the final results of descriptive statistics and trend tests. Each step is supplemented by an interactive example, where all the methods, R source code and several descriptions, comments and notes are available for handson training and practice. 
R source codeEach of the eight consequent steps of the data analysis is equipped with an R source code, which is partially compatible with the interactive example for the particular step. Most of the source codes use functions and methods from the R package genasis, developped in order to simplify and unify POPs data processing. This package shares several methods with the Global Monitoring Plan (GMP) methodology on POPs monitoring data processing. The genasis R package is freely available on CRAN repository web page. 
Interactive examplesDemonstrative interactive examples were developed in order to allow the user trying all the described methods on his/her own in a real time. They are very intuitive and easy to manage even without any knowledge of R or another statistical software. All the examples include plots to emonstrate how the functions work and a brief legend on the methods used. The examples are accesible via the square tiles below the text. The Shiny R package was used to create all the examples. 
AuthorsJiří Kalina, Jiří Jarkovský, Ladislav Dušek, Jana Klánová, Jana Borůvková, Ivo Šnábl and Roman Šmíd Institute of Biostatisic and analyses & Research Centre for Toxic Compounds in the Environment Masaryk University 625 00 Brno Czech Republic
