Fakultas Ilmu Budaya, Universitas Udayana, Indonesia
09 - 10 July 2019
9:00 am - 4:00 pm
Instructors:
Gede Primahadi Wijaya Rajeg
Helpers:
General Information
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct
research. Its target audience is researchers who have little to no prior computational experience,
and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly
apply skills learned to their own research.
Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
Who:
The workshop is aimed at ten (10) academic staffs at the English Department, Faculty of Arts, Udayana University, Indonesia.
This is the first-batch, self-organised, Carpentries R workshop for the Department, with the participants having no prior knowledge on R and programming at large.
Requirements: Participants must bring a laptop with a
Windows, Mac, or Linux operating system (not a tablet, Chromebook, etc.) that they have administrative privileges. Prior to the workshop, they should have installed the latest version of R (download here) and RStudio (download the FREE version here) (see below for further details). A brief pre-workshop session for installation can be arranged if needed.
Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Accessibility: We are committed to making this workshop
accessible to everybody.
The workshop organizers have checked that:
Accessible restrooms are available.
Materials will be provided in advance of the workshop and
large-print handouts are available if needed by notifying the
organizers in advance.
Please be sure to complete these surveys before and after the workshop; for the Pre-workshop Survey, please complete it before the workshop begins to make the most of the workshop time.
To participate in a
Data Carpentry
workshop,
you will need access to the software described below.
In addition, you will need an up-to-date web browser.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
RStudio. Click on one of the Operating System (OS) tabs below to reveal the information on how to install R and RStudio for specific OS.
Install R by downloading and running
this .exe file
from CRAN.
Also, please install the
RStudio IDE.
Note that if you have separate user and admin accounts, you should run the
installers as administrator (right-click on .exe file and select "Run as
administrator" instead of double-clicking). Otherwise problems may occur later,
for example when installing R packages.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
RStudio IDE.