Legend (or at least Wikipedia) has it that
"R," the statistical programming language, was named after Robert and
Ross (Gentleman and Ihaka), R's originators. R's capabilities (and its
use) are growing rapidly, and if you are considering adopting it, or extending
its use, statistics.com's online courses in R are a good place to learn more.
Learn "Graphics in R" with Dr.
Paul Murrell; teach you how to produce publication-quality statistical plots of
data using R. It will cover plots such as scatterplots, bar plots, histograms,
boxplots and Trellis plots. It will review the underlying model used to produce
plots in R so that you can extensively customize these plots. Finally,
the course will introduce the grid graphics system and look at producing unique
plots from the ground up using basic components. For more details please visit at
Who Should Take This Course:
Anyone who needs to produce displays of data,
whether for exploratory or confirmatory analysis.
R graphics is particularly suited to producing
publication-quality plots, so this course is particularly useful for anyone who
needs to produce articles or reports or even web sites containing plots.
Course Program:
Course outline: The course is structured as follows
SESSION
1: Basic Plots
- An overview of R Graphics
- Functions for producing standard plots
- Controlling colour, fonts, etc
SESSION
2: Customising Plots
- Adding extra data or labels to a plot
- Mathematical formulas on plots
- Plotting multiple plots on a page
SESSION
3: The Lattice Package (Trellis plots)
- Lattice formulas
- Multipanel displays
- Panel functions
- Customising lattice plots
SESSION
4: Grid Graphics (drawing pictures)
- Graphical primitives and units
- Viewports and layouts
- Customising lattice plots
Dr. Paul Murrell is noted members of the R development community. Dr. Murrell, Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand has focused on the graphics system in R. He is the past Chair of the Section for Statistical Graphics of the American Statistical Association. He has recently served as Editor-in-Chief of "R News", the newsletter of the R project, and is an Associate Editor for "Computational Statistics" and "The Journal of Statistical Software".
You will be able
to ask questions and exchange comments with Dr. Sudha Purohit via a private
discussion board throughout the course. The courses take place
online at statistics.com in a series of 4 weekly lessons and assignments, and
require about 15 hours/week. Participate at your own convenience; there
are no set times when you must be online. You have the flexibility to work a
bit every day, if that is your preference, or concentrate your work in just a
couple of days.
For Indian
participants statistics.com accepts registration for its courses at special
prices in Indian Rupees through its partner, the Center for eLearning and
Training (C-eLT), Pune.
Call: 020 66009116
Websites:
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