Rafael Maia rmaia

## curriculum.md

      
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                hadley
                / curriculum.md
            
            
              Created
              September 27, 2013 20:24
            
              
                My first stab at a basic R programming curriculum. I think teaching just these topics without overall motivating examples would be extremely boring, but if you're a self-taught R user, this might be useful to help spot your gaps.
              
          
    Notes:


I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.


Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.


Programming R curriculum

Data structures


## CorrelationEllipses.R
# Correlation ellipses

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("ellipse")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Function to plot colored correlation ellipses
correlationEllipses <- function(cor){
  require(ellipse)
	# Correlation ellipses

	doInstall <- TRUE # Change to FALSE if you don't want packages installed.
	toInstall <- c("ellipse")
	if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
	lapply(toInstall, library, character.only = TRUE)

	# Function to plot colored correlation ellipses
	correlationEllipses <- function(cor){
	require(ellipse)