Download the R-package from :
http://www.r-project.org/
Download the R-studio IDE which has awesome features like auto-completion feature:
http://www.rstudio.com/
Installing a package in R (installed entropy package):
http://math.usask.ca/~longhai/software/installrpkg.html
http://math.usask.ca/~longhai/doc/others/R-tutorial.pdf
R Examples:
http://www.rexamples.com/
http://www.mayin.org/ajayshah/KB/R/index.html
-------------------------- R code to read a file into R variables -------------------
http://www.r-project.org/
Download the R-studio IDE which has awesome features like auto-completion feature:
http://www.rstudio.com/
Installing a package in R (installed entropy package):
http://math.usask.ca/~longhai/software/installrpkg.html
http://math.usask.ca/~longhai/doc/others/R-tutorial.pdf
R Examples:
http://www.rexamples.com/
http://www.mayin.org/ajayshah/KB/R/index.html
-------------------------- R code to read a file into R variables -------------------
# Goal: To read in a simple data file, and look around it's contents. # Suppose you have a file "x.data" which looks like this: # 1997,3.1,4 # 1998,7.2,19 # 1999,1.7,2 # 2000,1.1,13 # To read it in -- A <- read.table("x.data", sep=",", col.names=c("year", "my1", "my2")) nrow(A) # Count the rows in A summary(A$year) # The column "year" in data frame A # is accessed as A$year A$newcol <- A$my1 + A$my2 # Makes a new column in A newvar <- A$my1 - A$my2 # Makes a new R object "newvar" A$my1 <- NULL # Removes the column "my1" # You might find these useful, to "look around" a dataset -- str(A) summary(A) library(Hmisc) # This requires that you've installed the Hmisc package contents(A) describe(A)
-------------------------- R steps to load library --------------------------------------
library ('entropy') # loads the library
??entropy # shows the hep for the entropy package
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