During my research visit at Notre Dame University I had the pleasure to participate in Hadley Wickham’s lecture Welcome to the Tidyverse and meet Hadley in person. Hadley’s talks are always well-structured and worth listening.

Hadley Wickham has been a prime mover in releasing R upon the masses, enabling hordes of unsuspecting would-be researchers to process and visualize data in ways they never dreamed of. The tidyverse, the culmination of years of effort in the R language, is a universe of packages that facilitate a grammar of data, graphics, and modeling that allows even beginners to speak the language of data science fluently.

Here is a selection of my Data Science and Programming skills and tools that turned out to be helpful in my work and I believe are important for any Data Scientist as well. The last update of this post was done: 2018-01-24. Data Science Skills Data Manipulation

Efficient data manipulation in R; dplyr, data.table, reshape2. Working with dates and time-series; lubridate, xts.

Reproducible Analyses

RStudio IDE, Markdown, LaTeX;

This post is an annotated bibliography of helpful resources for programming and doing Data Science in R. I will try to expand this list and add some short recommendations in the future.
The last update of this post was done: 2018-01-24.
Books (on-line & printed)
Hadley Wickham, Advanced R
The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R’s quirks and shows how some parts that seem horrible do have a positive side.

UPDATE: The online static version of the presentation is available here: http://rpubs.com/kalimu/erum. Thank you for all the feedback!
In two days, from 12 to 14 October, 2016 in Poznan (Poland) will take place the conference “eRum 2016: european R users meeting“. I will give a talk about new R package: LimeRick. LimeRick enables close connection between two important open-source projects: R and LimeSurvey. LimeSurvey is the most advanced open-source system for on-line survey and Computer Aided Web Interviewing (CAWI) and together with R they offer advanced ecosystem for gathering and analyzing declarative data.

The bridge between LimeSurvey and R.

Version: 1.2 The last update of this post: 2018-01-24. Below is a checklist that I wrote for my own purposes. I helps me to be sure that I did what I should have done before release a new version of R package to CRAN. Maybe it will also help others. See what new Hadley recommends: (http://r-pkgs.had.co.nz/release.html). Update R & packages: R all packages RStudio (stable or preview version).

Update your package: Check unit tests.

The R package for gender prediction based on first names.

R User Group in Rzeszów