Seeking a meaningful PhD or R&D opportunity in (SAR) Remote Sensing with applications in Geophysics or Oceanography starting as early as early-to-mid June 2019. If you have or know of an offer I would appreciate contacting me here or on LinkedIn. Thank you
Je cherche une thèse ou une poste R&D en Télédétection (RSO) avec des applications en Géophysique ou Océanographie à partir de début juin 2019. Si vous avez ou connaissez une offre, je vous serais reconnaissant de me contacter ici ou sur LinkedIn. Je vous remercie.
As a user of Anaconda python I have been receiving (Ubuntu) system warnings of low free space in my home directory. Investigating what was causing this I found out that Anaconda python had several versions of each package. The overall size of the
pkgs directory was 14+ GB. After cleaning it is about 3GB.
The second largest directory was my mail in Thunderbird.
So it would be wise, especially if you are limited in disk space, to clean Anaconda. The commands I used are as follows:
conda clean --all
conda update conda
# just to make sure nothing is broken and
# your environment is updated
source activate <your-environment>
conda update --all
conda clean --all
last updated: 2015-08-29
References & Most helpful commands
- Short R Reference Card (PDF) R commands
- Knitr Reference Card
- Advanced R (wiki), Hadley Wickham Programming in R, UC Riverside
- Introduction to R, A First Course in R (PDF), University of Notre Dame
- MATLAB commands in numerical Pythom (NumPY): as well as Octave & R (PDF)
- Numerical Analysis & Statistics: MATLAB, R, NumPy – a side-by-side reference sheet
- data.table intro
- data.table faq
- Exploratory Data Analysis with data.table (videos)
- data.table cheat sheet
- Cheatsheets (Data Wrangling with dplyr & tidyr, R Markdown, Shiny)
- R Documentation
- Resources to help you learn and use R, Institute of Digital Research and Education (idre), UCLA
Tutorials & Handy packages
Hands-on dplyr tutorial for faster data manipulation in R Interactive Visualizations From R Using Rcharts rMaps – Interactive Maps from R (github repo) (requires “devtools” from cran)
Using R for Psychological Research – Personality Project, William Revelle
Try R by Code School (on codeschool)
Introduction to R, Leada
see Assorted links – Data Visualization (to be published later)
Tidy Data, Hadley Wickham [PDF]
Big Data & Society – Open-access journal
Hacks for better productivity
Sublime and R
Using Sublime Text 2 for R Using R in Sublime Text 3
Video (training) courses
Introduction to Data Science with R, Garrett Grolemund, O’Reilly Media
Lists of Resources by others
Scraping Twitter and Web Data Using R – Pablo Barbera
see Assorted links – Data sources (To be published later)
If you’d like to contribute to this list, please leave them in the comments below.
Below is a nice map created by Ali Rebaie of universities offering degrees in Data Science based on data from this github repo. Contribute using this Google spreadsheet.
[via Ali Rebaie]
A while ago I published a post on how to install some basic packages in R. This post goes further by sharing with you an Rscript (as part of another Ubuntu customization script) to install many popular R packages.
I’ve written the Rscript to be run after a fresh installation of Ubuntu. The Rscript is called by the Ubuntu customization script (yet to be published) and should install some basic and popular R packages.
Below is a Gist. For the repo click here.