R valuable links

A small poorly edited list of valuable links found while trying to make up a graphical dashboard in R with little experience in the language.

The key points were learning how data frames work, using RStudio and Shiny, and trying your best to use only vector operations in R for speed. (that is, absolutely no iterating over data or using if branches)

http://www.johndcook.com/blog/r_language_for_programmers/

http://www.statmethods.net/graphs/

http://www.r-tutor.com/r-introduction/data-frame/data-import

http://astrostatistics.psu.edu/su07/R/library/base/html/strptime.html

http://stackoverflow.com/questions/13022299/specify-date-format-for-colclasses-argument-in-read-table-read-csv

http://stackoverflow.com/questions/12161154/formatting-histogram-x-axis-when-working-with-dates-using-r

http://www.inside-r.org/packages/cran/lubridate/docs/as.duration

http://stackoverflow.com/questions/11017933/format-time-span-to-show-hours-minutes-seconds

http://rstudio-pubs-static.s3.amazonaws.com/13865_e7a419e061cb4f86aa358f3fc77bbdb3.html

http://stackoverflow.com/questions/14021675/how-to-add-header-to-a-dataset-in-r

http://stackoverflow.com/questions/17506691/converting-from-a-list-to-numeric-in-r

http://stackoverflow.com/questions/21311386/using-grep-to-help-subset-a-data-frame-in-r

http://ww2.coastal.edu/kingw/statistics/R-tutorials/dataframes.html

http://www.rstudio.com/

http://sape.inf.usi.ch/quick-reference/ggplot2/geom