If you attended Frank Harrell's
Regression Modeling Strategies course a few weeks ago, you got a chance to see the
rms package for
R in action. Frank's
rms package does regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit.
rms is a re-written version of the
Design package that has improved graphics and duplicates very little code in the
survival package.
First install the rms package:
install.packages("rms")
Next, load the package:
library(rms)
Finally, run this command to get very extensive documentation of many of the features in the
rms package:
?rmsOverview
You can also get a walk-through consisting of several example uses of functions in the
rms package for modeling and graphics.
example(rmsOverview)
I am just starting my education in the "R" world data modeling and have come across your notes. I would like to get up to speed as quickly as possible. Can you give me any suggestions as to where I would best begin?
ReplyDeleteThanks!
Victoria Allen
dba11@live.com