# Resources

• Introduction to R
• Included in R / RStudio (Help: R Help: “An introduction to R”). An hour or two spent reading this and following along will pay itself back over and over.
• R help (mailing list)
• All the experts are there so can be great, but can be scary, especially for newbies. Bad reputation, deservedly so, unfortunately.
• “Special interest group” mailing lists
• Most field specific, often friendlier (e.g. r-sig-phylo.
• Stack overflow
• R is hard to google for
• Stack overflow makes searching easy by using tags.
• Lots of good answers to stuff, so search well
• Rseek
• Also helps with the google problem, but can be clunky to use.
• This is where the best support always happens. People in your lab have suffered through the same learning curve that you are, or have solved the same problem, or are interested in knowing how to solve the same problem. Talk to each other.
• Various tutorial documents exist across the internet, of varying quality.
• This recent one is nice, but very rapid and covers about 95% of everything you need to know (do note the filename, though) https://dl.dropbox.com/u/4149392/R_for_the_brave.pdf
• There are extensive help pages for all functions: to access them, type ? before a command name (e.g. ?log), or use the help function (this time quoting the name) (help("log")).