12 Feb Introduction to R
12/02/2020 - 14/02/2020
1:00 pm - 5:00 pm
methodology course | level: beginner
registrations and venue via Ghent University
THIS IS AN INTRODUCTORY COURSE FOR BEGINNERS WITH NO OR VERY LITTLE R-PROGRAMMING EXPERIENCE.
R is an environment for statistical computing and graphics, which is becoming increasingly popular as a tool to get insight in often complex data. While somewhat similar to other programming languages (such as C, Java and Perl), R is particularly suited for data analysis because ready-made functions are available for a wide variety of statistical (classical statistical tests, linear and nonlinear modeling, time-series analysis, classification, clustering, ...) and graphical techniques.
The base R program can be extended with user-submitted packages, which means new techniques are often implemented in R prior to being available in other software. This is one of the reasons why R is becoming the de facto standard in certain fields such as bioinformatics and financial services.
This course introduces the use of the R environment for the implementation of data management, data exploration, basic statistical analysis and automation of procedures.
The course starts with a description of the R GUI, the practical use of R studio and an overview of basic data structures. The application of standard procedures to import data or to export results to external files will be illustrated.
Creation of new variables, subsetting, merging and stacking of data sets will be covered in the data management section. Exploration of the data by histograms, box plots, scatter plots, summary numbers, correlation coefficients and cross-tabulations will also be performed.
Simple statistical procedures that will be covered are:
- comparison of observed group means (t-test, ANOVA and their non-parametric versions)
- linear regression
Practical sessions and specific exercises will be provided to allow participants to practice their R skills in interaction with the teacher.
This course targets participants with little or no R-programming experience who wish to start using R for their data manipulation, data exploration or statistical analysis.
PhD students and post-doctoral fellows: €125*
Public and private sector: €325
*UGent doctoral students can apply for reimbursement through an application of recognition with the UGent Doctoral Schools. Doctoral students from other Flemish universities can be reimbursed by FLAMES upon complete attendance.
The registration fee is due within 30 days following receipt of the invoice. Payment is possible through bank transfer with clear statement of the structured message on the invoice. Cash payments are not possible.
Cancellation by the participant:
You are registered for the course from the moment the standardized confirmation mail is sent to you by FLAMES-UGent. From that moment on the cancellation and payment conditions are in effect.
Room 3.1 (3rd Floor) - S9, Campus: Campus Sterre
Krijgslaan 281. 9000 Gent
The course is open to all interested persons. Knowledge of basic statistical concepts and experience with other programming languages are considered advantageous, but not required for learning the R language.
Dr. Emmanuel Abatih