[R] 7 Courses: Upcoming September-October 2007 R/S+ schedule by XLSolutions Corp

2007-08-30 Thread Sue Turner
Our upcoming September-October 2007 R/S+ course schedule is now
available. Please check out this link for additional information  and
direct enquiries to Sue Turner [EMAIL PROTECTED]  Phone: 206 686
1578
 
 

http://www.xlsolutions-corp.com/courselist.htm  
 
--

(1) An Introduction to S and R 
*** Seattle / October 29-30, 2007  ***

(2) R/S Fundamentals and Programming Techniques 
*** Seattle / September 24-25, 2007  ***
*** Boston / September 27-28, 2007   ***
 
(3) R/S System: Complementing and Extending Statistical Computing forSAS
Users 
*** Raleigh / October 22-23, 2007 ***  
 
(4) R/S System: Advanced Programming 
*** Princeton / October 29-30, 2007 ***
*** San Francisco / October 25-26, 2007 
--

http://www.xlsolutions-corp.com/courselist.htm  

 
(5) Introduction to R/S+ programming: Microarrays Analysis
andBioconductor.

*** Los Angeles 9/24/2007 9/25/2007  *** 
(6) Microarrays Data Analysis with R/S+ and GGobi  
*** New York City 10/18/2007 10/19/2007 ***  
(7) Data Mining: Practical Tools and Techniques in R/Splus 
*** San Francisco 9/27/2007 9/28/2007 ***
 
---
 

 Payment due AFTER the class
 Email us for group discounts. 
 Email Sue Turner: [EMAIL PROTECTED] 
 Phone: 206-686-1578 
 Visit us: www.xlsolutions-corp.com/courselist.htm 
 Please let us know if you and your colleagues are interested inthis 
 class to take advantage of group discount. Register now to secureyour 
 seat! 
 
 Cheers, 
 Elvis Miller, PhD 
 Manager Training. 
 XLSolutions Corporation 
 206 686 1578 
 www.xlsolutions-corp.com

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] Courses: Traditional and Modern Approaches to Statistical Modelling with R by Dr Bill Venables. in Raleigh and Washington DC

2007-06-06 Thread Sue Turner

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] Dr Bill Venables course in Raleigh and Washington DC - Traditional and Modern Approaches to Statistical Modelling with R by

2007-06-06 Thread Sue Turner
Greetings!
 
We've added Raleigh***July 09-10 as a second US destination for Dr
Venables'  Traditional and Modern Approaches to Statistical Modelling
with R course.
 
We still have seats for the following July courses:
 
(1) Traditional and Modern Approaches to Statistical Modelling with R by
Dr Bill Venables. 
*** Raleigh, NC 7/9/2007 7/10/2007 *** 
*** Washington, DC 7/12/2007 7/13/2007 *** 
 
(2) R/S Fundamentals and Programming Techniques 
*** Boston / July 16-17, 2007   ***

(3) Data Mining: Practical Tools and Techniques in R/Splus  
*** Las Vegas 6/28/2007 6/29/2007 ***
 
Payment due AFTER the class
 Email us for group discounts. 
 Email Sue Turner: [EMAIL PROTECTED] 
 Phone: 206-686-1578 
 Visit us: www.xlsolutions-corp.com/courselist.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

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] 9 Courses: Upcoming July 2007 R/S+ schedule by XLSolutions Corp / New Website!

2007-05-18 Thread Sue Turner

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] April Courses*** R/S+: Fundamentals and Programming Techniques - @ 6 Locations Nationwide / Ann Arbor, Hartford, Raleigh, Princeton, Seattle, Boston

2007-03-07 Thread Sue Turner
XLSolutions Corporation is proud to announce our April 2007 R/S:
Fundamentals and Programming Techniques - @ 6 USA locations:
http://www.xlsolutions-corp.com/Rfund.htm


Ann Arbor, MI *** April 23-24, 2007
Raleigh, NC *** April 19-20, 2007
Princeton, NJ *** April 26-27 , 2007
Hartford, CT *** April 26-27 , 2007
Seattle, WA *** April 30- May 1, 2007
Boston, MA *** April 30 - May 1, 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

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



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:  [EMAIL PROTECTED]

(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



Email us for group discounts: [EMAIL PROTECTED]
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
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] 2 Courses: (1) R/Splus Advanced Programming - San Francisco - (2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake City

2007-02-28 Thread Sue Turner

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce
our*** R/S Advanced Programming ***course in San Francisco on March
15-16 and
*** Data Mining: Practical Tools and Techniques in R/Splus *** course in
Salt Lake City on March 26-27


Ask for group discount and reserve your seat Now - Earlybird Rates.
Payment due after the class! Email Sue Turner:  [EMAIL PROTECTED]


(1) R/Splus Advanced Programming  - San Francisco, March 15-16
http://www.xlsolutions-corp.com/Radv.htm  

Course Outline:

- Overview of R/S fundamentals: Syntax and Semantics
- Class and Inheritance in R/S-Plus
- Concepts, Construction and good use of language objects
- Coercion and efficiency
- Object-oriented programming in R and S-Plus
- Advanced manipulation tools: Parse, Deparse, Substitute, etc.
- How to fully take advantage of Vectorization
- Generic and Method Functions
- Search path, databases and frames Visibility
- Working with large objects
- Handling Properly Recursion and iterative calculations
- Managing loops; For (S-Plus) and for() loops
- Consequences of Lazy Evaluation
- Efficient Code practices for large computations
- Memory management and Resource monitoring
- Writing R/S-Plus functions to call compiled code
- Writing and debugging compiled code for R/S-Plus system
- Connecting R/S-Plus to External Data Sources
- Understanding the structure of model fitting functions in R/S-Plus
- Designing and Packaging efficiently a new model function

Email us for group discounts.
Email Sue Turner: [EMAIL PROTECTED]
Phone: 206-686-1578

(2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake
City, March 26-27
http://www.xlsolutions-corp.com/RSMining.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
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


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

2007-02-21 Thread 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:  [EMAIL PROTECTED]

(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] 2 Courses: (1) R/Splus Advanced Programming - San Francisco - (2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake City

2007-02-06 Thread Sue Turner
XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce
our*** R/S Advanced Programming ***course in San Francisco on March
15-16 and
*** Data Mining: Practical Tools and Techniques in R/Splus *** course in
Salt Lake City on March 26-27


Ask for group discount and reserve your seat Now - Earlybird Rates.
Payment due after the class! Email Sue Turner:  [EMAIL PROTECTED]


(1) R/Splus Advanced Programming  - San Francisco, March 15-16
http://www.xlsolutions-corp.com/Radv.htm  

Course Outline:

- Overview of R/S fundamentals: Syntax and Semantics
- Class and Inheritance in R/S-Plus
- Concepts, Construction and good use of language objects
- Coercion and efficiency
- Object-oriented programming in R and S-Plus
- Advanced manipulation tools: Parse, Deparse, Substitute, etc.
- How to fully take advantage of Vectorization
- Generic and Method Functions
- Search path, databases and frames Visibility
- Working with large objects
- Handling Properly Recursion and iterative calculations
- Managing loops; For (S-Plus) and for() loops
- Consequences of Lazy Evaluation
- Efficient Code practices for large computations
- Memory management and Resource monitoring
- Writing R/S-Plus functions to call compiled code
- Writing and debugging compiled code for R/S-Plus system
- Connecting R/S-Plus to External Data Sources
- Understanding the structure of model fitting functions in R/S-Plus
- Designing and Packaging efficiently a new model function

Email us for group discounts.
Email Sue Turner: [EMAIL PROTECTED]
Phone: 206-686-1578

(2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake
City, March 26-27
http://www.xlsolutions-corp.com/RSMining.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
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] December Courses: (1) R/Splus Fundamentals and Programming Techniques (2) Regression Modeling Strategies in R/Splus

2006-11-07 Thread Sue Turner

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce
November - December courses: 

(1) R/Splus Fundamentals and Programming Techniques  
   
  http://www.xlsolutions-corp.com/Rfund.htm 
  
*** San Francisco / December 14-15, 2006 *** 
*** Boston / December 18-19, 2006 ***
*** Seattle / December 18-19, 2006 ***

(2) Regression Modeling Strategies in R/Splus --- by Prof Frank Harrell 
  
http://www.xlsolutions-corp.com/Rstats2.htm 
   
*** Seattle, December 7-8, 2006 *** 
  
(3) R/Splus Advanced Programming  --- by the R Development Core Team
Guru! 
  
   http://www.xlsolutions-corp.com/Radv.htm 
  
 *** Seattle / December - 2006  DTB*** 



  
Ask for group discount and reserve your seat Now - Earlybird Rates 
Payment due after the class! Email Sue Turner:  [EMAIL PROTECTED]

  
Email us for group discounts: [EMAIL PROTECTED]
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 
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] (1) R/Splus Advanced Programming, NYC, Sept 11-12 (2) Regression Modeling Strategies in R/Splus, Sept 28-29

2006-09-01 Thread Sue Turner
XLSolutions Corporation (www.xlsolutions-corp.com) R/Splus Advanced
programming course taught the R Development Core Team is almost full!

(1) R/Splus Advanced Programming  --- by the R Development Core Team
Guru! 
  
   http://www.xlsolutions-corp.com/Radv.htm 
  
 *** New York City / September 11-12, 2006 *** 
  
(2) Regression Modeling Strategies in R/Splus --- by Prof Frank Harrell 
  
http://www.xlsolutions-corp.com/Rstats2.htm 
   
*** Washington DC, September 28-29, 2006 *** 
  
(3) R/Splus Fundamentals and Programming Techniques  
   
  http://www.xlsolutions-corp.com/Rfund.htm 
  
*** Raleigh / September 12-13, 2006 *** 
  
Ask for group discount and reserve your seat Now - Earlybird Rates 
Payment due after the class! Email Sue Turner:  [EMAIL PROTECTED]

  
Email us for group discounts 
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 
[EMAIL PROTECTED]

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] 3 September Courses: (1) Regression Modeling Strategies in R/Splus, (2) R/Splus Advanced Programming, (3) R/Splus Fundamentals

2006-08-22 Thread Sue Turner
XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce
our September courses: 

(1) Regression Modeling Strategies in R/Splus --- by Prof Frank Harrell 
   http://xlsolutions-corp.com/Rstats2.htm 
   *** Washington DC, September 28-29, 2006 *** 
(2) R/Splus Advanced Programming --- by the R Development Core Team
Guru! 
   *** New York City / September 11-12,2006*** 
 http://www.xlsolutions-corp.com/Radv.htm  
(3) R/Splus Fundamentals and Programming Techniques 
  
   *** Raleigh / September 12-13, 2006 *** 
 http://www.xlsolutions-corp.com/Rfund.htm 
  
Ask for group discount and reserve your seat Now - Earlybird Rates.
Payment due after the class! Email Sue Turner:  [EMAIL PROTECTED]


(1) Regression Modeling Strategies at  
http://xlsolutions-corp.com/Rstats2.htm 
(2) R/Splus Advanced Programming   
Course Outline: 
- Overview of R/S fundamentals: Syntax and Semantics
- Class and Inheritance in R/S-Plus
- Concepts, Construction and good use of language objects
- Coercion and efficiency
- Object-oriented programming in R and S-Plus
- Advanced manipulation tools: Parse, Deparse, Substitute, etc.
- How to fully take advantage of Vectorization
- Generic and Method Functions
- Search path, databases and frames Visibility
- Working with large objects
- Handling Properly Recursion and iterative calculations
- Managing loops; For (S-Plus) and for() loops
- Consequences of Lazy Evaluation
- Efficient Code practices for large computations
- Memory management and Resource monitoring
- Writing R/S-Plus functions to call compiled code
- Writing and debugging compiled code for R/S-Plus system
- Connecting R/S-Plus to External Data Sources
- Understanding the structure of model fitting functions in R/S-Plus
- Designing and Packaging efficiently a new model function  
It'll also deal with lots of S-Plus efficiency issues and any special
topics from participants is welcome. 
(3) R/Splus Fundamentals and Programming Techniques 
   
Course outline. 
- An Overview of R and S
- Data Manipulation and Graphics
- Using Lattice Graphics
- A Comparison of R and S-Plus
- How can R Complement SAS?
- Writing Functions
- Avoiding Loops
- Vectorization
- Statistical Modeling
- Project Management
- Techniques for Effective use of R and S
- Enhancing Plots
- Using High-level Plotting Functions
- Building and Distributing Packages (libraries)
- Connecting; ODBC, Rweb, Orca via sockets and via Rjava 
Email us for group discounts.
Email Sue Turner: [EMAIL PROTECTED]
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
[EMAIL PROTECTED]  
3 Courses - (1) Regression Modeling Strategies in R/Splus (2) R/Splus
Advanced Programming (3) R/Splus Fundamentals

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] R/Splus course in Seattle *** August 29-30 (New Dates)

2005-08-19 Thread Sue Turner

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


[R] Technical Support Engineer for R/S and Bioconductor

2005-08-05 Thread Sue Turner

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html