[R] Course*** R/S+: Fundamentals and Programming Techniques - Princeton, March 1-2

[Sue Turner]

XLSolutions Corporation is proud to announce our March 2007 R/S:
Fundamentals and Programming Techniques - in  Princeton March 1-2, 2007
:  http://www.xlsolutions-corp.com/Rfund.htm


This two-day beginner to intermediate R/S-plus course focuses on a broad
spectrum of topics, from reading raw data to a comparison of R and S. We
will learn the essentials of data manipulation, graphical visualization
and R/S-plus programming. We will explore statistical data analysis
tools,including graphics with data sets. How to enhance your plots,
build your own packages (librairies) and connect via ODBC,etc. The
course will give beginners a strong foundation for becoming a versatile
programmer, and will expose experienced users to skills that make a
better programmer.
http://www.xlsolutions-corp.com/Rfund.htm

Other courses:
(1) R/S System: Advanced Programming - San Francisco, March 15-16, 2007
(2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake
City, March 26-27, 2007

(3) Statistics II: Regression Modeling Strategies in R/Splus, New York
City - March 8-9, 2007
(4) Microarrays Data Analysis with R/S+ and GGobi, Chicago - March 5-6,
2007, Atlanta - March 8-9, 2007, -  San Diego, March 15-16, 2007

Ask for group discount and reserve your seat Now - Earlybird Rates.
Please email us for for April-May courses.
Payment due after the class! Email Sue Turner:  sue at xlsolutions-corp.com

(1) R/S System: Advanced Programming - San Francisco, March 15-16, 2007

This advanced course is designed for people who use R or S-Plus in their
day-to-day work and want to maximize the efficiency of their programs.
Participants will learn in depth advanced programming techniques that
are available in R and S-Plus. This course will improve your general
strategies and extend your programming skills. This two-day course will
introduce participants to many programming techniques and tools. In
addition a special session dedicated to making S-Plus functions more
efficient will focus on "fast objects" and "fast functions". The
advanced programming techniques include object orientation, classes,
inheritance and methods. http://www.xlsolutions-corp.com/Radv.htm

(2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake
City, March 26-27, 2007

This course gives students an understanding of R/Splus tools used to
investigate the main tasks that predictive analytics and exploratory
data mining is usually called upon to accomplish and data preparation
which is universally held as the key to successful data mining. We
focus on the most common data mining tasks which are: Description,
Estimation, Prediction, Classification, Clustering, Association and the
need for Dimension Reduction with Principal Components and Factor
Analysis. Analytical methods used in the class include decision trees,
logistic regression, neural networks, link analysis (social networks)
and Kernel-based Methods (SVMs).
http://www.xlsolutions-corp.com/RSMining.htm


(3) S-PLUS / R: Fundamentals and Programming Techniques - San Francisco,
March 12-13, 2007 - Washington DC, March 5-6, 2007 - Princeton March
1-2, 2007 -  San Diego, March 15-16, 2007

This two-day beginner to intermediate R/S-plus course focuses on a broad
spectrum of topics, from reading raw data to a comparison of R and S. We
will learn the essentials of data manipulation, graphical visualization
and R/S-plus programming. We will explore statistical data analysis
tools,including graphics with data sets. How to enhance your plots,
build your own packages (librairies) and connect via ODBC,etc. The
course will give beginners a strong foundation for becoming a versatile
programmer, and will expose experienced users to skills that make a
better programmer.
http://www.xlsolutions-corp.com/Rfund.htm


(4) Statistics II: Regression Modeling Strategies in R/Splus, New York
City - March 8-9, 2007

This two-day course is designed for persons interested in multivariable
regression analysis of univariate responses, in developing, validating,
and graphically describing multivariable predictive models. The first
part of the course presents the following elements of multivariable
predictive modeling for a single response variable: using regression
splines to relax linearity assumptions, perils of variable selection
and overfitting, where to spend degrees of freedom, shrinkage,
imputation of missing data, data reduction, and interaction surfaces.
http://www.xlsolutions-corp.com/Rstats2.htm


(5) Microarrays Data Analysis with R/S+ and GGobi, Chicago - March 5-6,
2007, Atlanta - March 8-9, 2007, -  San Diego, March 15-16, 2007

This two-day beginner to intermediate course is designed for people
involved in microarrays data analysis. Newly developed analysis methods
for microarrays data analysis are often available from open-source
(R,Bioconductor, etc) and can also be used in S+. Thanks to the great
flexibility of R and S languages these methods and tools can be easily
adapted to own data. In this course, we'll review R/S packages
(librairies) for microarray analysis. We'll also explore GGobi
interactive and dynamic graphics for microarrays analysis, statistical
learning methods and strategies for large data.
http://www.xlsolutions-corp.com/Rarrays.htm

Email us for group discounts: sue at xlsolutions-corp.com
Phone:  206 686 1578
 
Visit us: www.xlsolutions-corp.com/training.htm
 
Please let us know if you and your colleagues are interested in this
class to take advantage of group discount. Register now to secure your
seat!
 
Cheers,
 
Elvis Miller, PhD
Manager Training
XLSolutions Corporation
206 686 1578
www.xlsolutions-corp.com/training.htm
elvis at xlsolutions-corp.com