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

From: Sue Turner <sue_at_xlsolutions-corp.com>
Date: Wed 21 Feb 2007 - 19:39:57 GMT

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@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@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@xlsolutions-corp.com



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