R programming language
- https://www.kaggle.com/wiki/Tutorials
- Data Camp Introduction to R class: https://www.datacamp.com/courses/introduction-to-r -- theoretical explanation, simple codes, ideal for R beginners who would like to have a look at basics without installing R
- swirl online interactive courses, covering topics like basic R programming, regression models, data collection and cleaning : http://swirlstats.com/students.html
- O'Reilly Code School – Try R: http://tryr.codeschool.com/
- Video tutorial: https://www.youtube.com/watch?v=iffR3fWv4xw
- One-page R cheat-sheets: http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r -- recommended rather if you know exactly what you are looking for, otherwise it is waste of time
- ggplot2 documentation: http://docs.ggplot2.org/current/
- advanced n-dimensional data visualization packages and functions (treemaps, parallel coordinates, steam graphs, correlograms, graphs): http://statacumen.com/teach/SC1/SC1_18_Plots.pdf
R readability rules (at least, one version from the Berkeley): https://docs.google.com/document/d/1esDVxyWvH8AsX-VJa-8oqWaHLs4stGlIbk8kLc5VlII/edit
Advanced R usage: http://adv-r.had.co.nz/ -- advanced topics, like exception handling, metaprogramming or profiling by Hadley Wickham
Data table cheat sheet: https://s3.amazonaws.com/assets.datacamp.com/img/blog/data+table+cheat+sheet.pdf
RStudio cheat sheet: https://www.dropbox.com/s/0moch6xocili6v9/RStudio%20Shortcuts.pdf?dl=0
Check out this tutortial: http://www.r-bloggers.com/installing-r-packages/
Well nothing could be easier. We just fire up an R shell and type:
> install.packages("ggplot2")
In theory the package should just install, however:
* if you are using Linux and don’t have root access, this command won’t work.
* you will be asked to select your local mirror, i.e. which server should you use to download the package.
Quitting from lines 7-7 (plotLines.rhtml)
Error in file(file, ifelse(append, "a", "w")) :
cannot open the connection
Calls: knit ... write.csv -> eval.parent -> eval -> eval -> write.table -> file
Execution halted
The problem is that R is unable to write to some directory under the site-library dir.
sudo chown -R $USER:$USER /usr/local/lib/R/site-library/Use superscripts on the y axis:
ys = -10:10
yvalues = parse(text=paste("10^", ys, sep=""))
On my Mint 18 (Ubuntu 16.04) installation, for both R 3.2.x and 3.4.y, installing tidyverse resulted in the following error:
ERROR: dependencies ‘rvest’, ‘xml2’ are not available for package ‘tidyverse’
To fix this, I had to install the libxml2-dev package:
sudo apt install -y libxml2-dev