High Performance Data Analysis with R

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F23%3A10252590" target="_blank" >RIV/61989100:27740/23:10252590 - isvavai.cz</a>

Result on the web

<a href="https://events.it4i.cz/event/163/" target="_blank" >https://events.it4i.cz/event/163/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

High Performance Data Analysis with R

Original language description

This course was focused on data analysis and modeling in R statistical programming language. The first day of the course introduced how to approach a new dataset to get a better understanding of the data and its features. Modeling based on the modern set of packages jointly called TidyModels was shown afterward. This set of packages strives to make the modeling in R as simple and as reproducible as possible.The second day was focused on increasing the efficiency of computation by introducing Rcpp for seamless integration of C++ code into R code. A simple example of CUDA usage with Rcpp was shown. In the afternoon, the section on parallelization of the code with future and/or MPI was presented.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/MC2301" target="_blank" >MC2301: National Competence Centres in the framework of EuroHPC Phase 2 - EUROCC 2</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů