W sobotę (24.06) odbyło się na WSIiZ insprujące seminarium z udziałem on-line prof. P.Zimbardo.
Philip Zimbardo był w 1971 roku liderem sławnego Stanfordzkiego Eksperymentu Więziennego i świadkiem-ekspertem w sprawie więzienia Abu Ghraib. Autor wpływowych książek: The Time Paradox: The New Psychology of Time That Will Change Your Life i The Lucifer Effect: Understanding How Good People Turn Evil.
Warto zapoznać się z projektem Profesora Zimbardo: Heroic Imagination Project.
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: 2017-07-21. Data Science Skills Data Manipulation
Efficient data manipulation in R; dplyr, data.table, reshape2. Working with dates and time-series; lubridate, xts.
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: 2017-07-21. 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.
More about the blogdown R package you can find here: https://bookdown.org/yihui/blogdown/
Some additional usefull posts:
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.
Seventh RDA Plenary was organized in Tokyo in March 2016 in close partnership with the Japan Science and Technology Agency (JST). This was the first time a plenary took place in Asia. One of the reason was to expand the reach of the RDA far beyond America and Europe through increase in organization’s memberships from Asia region. As one of the winners of the RDA Early Career European Researchers & Scientists Working with Data (RDA P7 Financial Support Programme), I had a unique opportunity and honor to see with my own eyes how activities in RDA look like.
Version: 1.2 The last update of this post: 2017-07-21. 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.