Name: R Markdown – Composing Reproducible Documents with Graphs and Tables
Start: 2019-02-21T18:00:00+01:00
End: 2019-02-21T21:00:00+01:00
Location: Elsevier

Hi Everyone! We are very excited to announce our next workshop, a workshop on R- Markdown brought to you by Martine Jansen, an institutional researcher and lecturer in statistics at the Fontys Hogescholen.

SPECIAL THANKS to Elsevier for sponsoring our event as part of their generous support and efforts towards a more diverse tech & data science community.

PRELIMINARY PLAN
---------------------------------------------------------
18:00 Doors open, & welcome

18.30 Introduction to R- Ladies & Elsevier

19.00 R- Markdown workshop

20.45- 21.30 Socialising
---------------------------------------------------------

PROGRAMME
After a great lightning talk in 2018, Martine will now give us a full introduction into how to create reproducible documents with table and figures in R-Markdown. During this workshop you'll transform a given data set into a reproducible, custom styled Word document containing a descriptive analysis with (ggplot2) graphs and tables.

Working with R Markdown saves a lot of time, effort and repeated work. All the steps, blocks with R code for very simple descriptives or very complex statistical analysis, text for the document, and if you wish useful personal reflections (not shown in resulting word document), are contained in one single Markdown document, which can easily be shared with co-workers. Or be reused for another analysis.
The graphs we will make during the workshop, use custom colors and include a stacked barchart, with value labels.

REQUIREMENTS
Some prior familiarity with R is useful, but not necessary (though in that case the information density will probably be very high). Bring your own laptop with R, R Studio and Word installed. We will use the packages knitr, gridExtra and tidyverse, so install them as well (ggplot2 is part of the tidyverse).

CODE OF CONDUCT
We expect all attendees to abide by our Code of Conduct. Anyone who violates this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition. We are emphatically queer and trans-friendly. This group was created so those who identify as women have a comfortable place to learn.

Janine Khuc

Tess Korthout

R-Ladies Amsterdam

R-Ladies

Technology

Open Source

Big Data

Machine Learning

Data Analytics

Data Science

Data Science using R

Data Visualization

Computer Programming

Professional Networking