Article on several different ways to connect R-project to Excel, published on The R Trader Blog.
Intro to the XML Package for R
An Introductory guide to the XML package for R-Project, written by Duncan Temple Lang
PDF: An Introduction to the XML package for R
Besides the XML package, Omega Project for Statistical computing has a number of other R-Project packages that look very interesting, like KML, Python, and WordPress packages.
Working with XML Data in R
Step by step instructions on reading/parsing XML data using R-Project. from Informit.com written by Tobi Bosede
PDF: Working with XML Data in R _ Working with XML Data in R _ InformIT
Jupyter
Great tool: Jupyter
Installed it for Python, you can also add other interpreters. Instructions for adding R on OS X
More R-Project Learning!
Really good site to learn R-Project:
http://www.datacamp.com/
Useful command – to tell the datatype of a variable:
class(variable_name)
Creating a vector. Use the “Combine” function (c):
variable_name=c(value1, value2, value3)
Create and name vectors:
poker_vector = c(140, -50, 20, -120, 240)
names(poker_vector) = c(“Monday”, “Tuesday”, “Wednesday”, “Thursday”, “Friday”)
or name using another vector
days_vector = c(“Monday”,”Tuesday”,”Wednesday”,”Thursday”,”Friday”)
names(poker_vector) = days_vector