Requirements: Data Carpentry's teaching is hands-on, so participants are encouraged to bring in and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop. (We will provide instructions on setting up the required software several days in advance.) There are no pre-requisites, and we will assume no prior knowledge about the tools.
Contact: Please email dtwrub@caltech.edu for questions and information not covered here.
To participate in this workshop, you will need working copies of the software described below. Please make sure to install everything and try opening it to make sure it works before the start of your workshop. If you run into any problems, please feel free to email the instructor or arrive early to your workshop on the first day. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop. Setup assistance will be available on Wednesday, March 28, from 12pm to 3pm at the Sherman Fairchild Reference Desk (1st floor of SFL), and Thursday, March 29, from 7am to 9am in the SFL Multimedia Conference room (MCR), 3rd floor of Sherman Fairchild, room 328.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
In the workshop, we will use RStudio. RStudio is a nice interface to the programming language R. To use RStudio, you need to install both R and RStudio.
The preferred version of R for this workshop is 3.4.3. Please note that a new version of R will be released on 3/15/18, this will be version 3.4.4. For stability's sake, please install version 3.4.3 if you have not installed R before, or please update to version 3.4.3 if you are using an older version.
The preferred version of RStudio for this workshop is 1.1.4xx. Please try to download the latest version of RStudio (1.1.423 as of this writing).
sudo apt-get install
r-base
, and for Fedora run sudo yum install R
) but make sure that you have at least R 3.2.2
(as pre-packaged versions might be out of date).
sudo dpkg -i rstudio-x.yy.zzz-amd64.deb
at the terminal).