===== R =====

==== .Rprofile ====

<code>

options(papersize="a4")
options(prompt="R> ")
options(tab.width = 2)

options(shiny.port = 4000)
options(shiny.host = "0.0.0.0")


r = getOption("repos")
r["CRAN"] = "https://mirrors.dotsrc.org/cran/"
options(repos = r)

.First <- function() {
    library(ggplot2)
}

q <- function() { quit("yes") }

if (interactive()) {
  # Everything in here is only run
  # if R is in "interactive" 
  # (as opposed to batch/script) mode
  library(colorout)
}
</code>

==== SuperUsers Kurser ====

  * [[http://www.superusers.dk/kursus/su0236/|SU0236 - R Programmering Grundkursus]]
  * [[http://www.superusers.dk/kursus/su0237/|SU0237 - R Programmering Videregående]]

==== Diverse ====

  * [[http://rpubs.com/joseRey/noaa_weather_station_temperature_hourly_cities_Continentality_Oceanity|NOAA Weather Station]]
  * [[https://csgillespie.github.io/efficientR/|Efficient R book]]
  * [[http://www-bcf.usc.edu/~gareth/ISL/|Bog: An Introduction to Statistical Learning
with Applications in R]]

==== Microsoft og R ====

  * [[https://www.microsoft.com/en-us/cloud-platform/r-server-resources|Microsoft R Server]]
  * [[https://blogs.technet.microsoft.com/machinelearning/2015/04/06/microsoft-closes-acquisition-of-revolution-analytics/|Microsofts køb af Revolution Analytics]]  

==== EdX kurser ====

  * [[https://www.edx.org/course/introduction-r-data-science-microsoft-dat204x-3|Introduction to R for Data Science]]
  * [[https://www.edx.org/course/programming-r-data-scienceThe R Programming Environment-microsoft-dat209x-2|Programming with R for Data Science]]
  * [[https://www.edx.org/course/statistics-r-harvardx-ph525-1x|Statistics and R]]
  * [[https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0|Explore Statistics with R]]
  * [[https://www.edx.org/course/analytics-edge-mitx-15-071x-2|The Analytics Edge]]

==== Coursera kurser ====

  * [[https://www.coursera.org/learn/r-programming|R programming]]
  * [[https://www.coursera.org/learn/r-programming-environment|The R Programming Environment
]]
  * [[https://www.coursera.org/learn/advanced-r|Advanced R Programming]]

==== Andre on-line kurser ====
 
  * [[http://online.stanford.edu/course/statistical-learning|Statistial Learning - Stanford]]