For registration please email your:
Name:………..
Institution:……….
Status (Student/ Employee)
Method of Payment:Cash Registration Fees :
Student Non-student
RM100 RM300
Note: *Inclusive of workshop materials and certificate. This payment fee can be made on registration day.
TO : SYAZWANI SAADON
Centre For Modelling & Data Analysis (DELTA)
School Of Mathematical Science,FST, UKM
: +603-89213288/5714
Workshop Leader
The course is led by Prof. Dr. Aziz Jemain and Dr. Ahmed Shamiri both are affiliated with the School of Mathematical Sciences at Universiti Kabangsaan Malaysia.Prof. Dr. Aziz Jemain has vast experience in data analysis, statistical software, research and teaching. Dr Shamiri has provided consultations on statistical analysis for professionals and individuals from various organizations. Dr. Shamiri has also presented sold-out workshops on statistical software programming, practically on the S language to R and S-plus softwares.
Date : 20-21 Jan 2009 Venue: Lab 13, School of Mathematical Science, FST, UKM
FIRST COURSE IN R
GET THE EDGE
SPEAK STATISTICS
Registration
Form
WE ARE PLEASED TO announce a Series of Workshops in R/S-Plus
R FOR BEGINNERS
Introduce you to the R environment and programming language. You will learn the fundamental R commands.
INTERMEDIATE COURSE IN R Discusses special topics in R such as, Bayesian statistics, Time series analysis, Econometrics, Finance and Social sciences.
ADVANCE COURSE IN R
Using compiled codes , generic and method functions and writing package to R.
Course
Outline
DAY 1
Morning Session 1. Why R?
2. Download and Installation Instructions 3. An Introductory Session
Afternoon Session 1. Objects 2. Data frames 3. Data Manipulation 4. Indexing
DAY 2
Morning Session
1. Basic R graphics
2. Introduction to Trellis graphic (lattice package)
3. Descriptive statistics 4. Linear models
Afternoon Session
1. Basic Programming 2. Writing functions in R
What is R?
R
is a free, powerful, open source software package with extensive statistical computing and graphics capabilities, which can be used to explore and analyze data. R shares many of its strong points with its commercial competitor S-PLUS. In addition to providing a comprehensive suite of conventional statistical tools, R has many freely available add-in packages which can be used to carry out more specialized statistical tasks. More information on R can be found on the websitewww.r-project.org.
FIRSTCOURSE IN R
Benefits to Participants
Install and run R in a Windows-based environment.
Manage and customize the R working environment.
Access R help and documentation.
Install new R functionality through add-on packages.
Communicate with R via the command-line and via scripts.
Transfer data from other software applications to R and vice versa.
Store data in R using a variety of data structures.
Prepare data stored in R for use in statistical analyses.
Produce numerical summaries of data using R.
Write customized R functions to automate repetitive data-processing tasks.
Use helpful tips for efficient programming in
R.Construct basic statistical graphs.
Create advanced statistical graphs using the lattice package.
Customize and save graphical output produced by R.
Assess the adequacy of these statistical procedures through appropriate diagnostics and adopt remedial actions where warranted.