Course : R environment, data processing and statistical analysis
Practical course - 2d
- 14h00 - Ref. TDA
|
Download in PDF format
Share this course by email
 | Know how to install and use the R analysis environment |
| Import and export data |
| Recognize the different types of objects in R |
| Creating analysis programs with R |
| Be able to perform basic statistical analyses with R |
| Understanding how to manipulate data with R |
| Graphical presentation of results |
Intended audience
Engineers, data analysts, statisticians, developers in statistical environments or anyone interested in statistical analysis with R.
Prerequisites
Familiarity with the Microsoft Windows environment and basic knowledge of statistics.
Practical details
Exercise
Practical application of theoretical knowledge on a variety of data sets.
Course schedule
1 Introduction
- Introduction to R software and its features.
- Advantages and disadvantages.
- Access to the tool download site and installation.
Hands-on work
Installation of the analysis environment.
2 First steps
- Basic environment (console, script).
- Using the console.
- Create and save a script.
- The directory under R Installation.
- Help and comments.
- Other editors include Tinn-R and R Studio.
Hands-on work
Console operations. Scripting.
3 R objects and programming concepts
- Objects of type vector, matrix, array, factor, data.frame, list.
- Object manipulation, object classes, specific functions, joins.
- Save, delete memory.
- Notions of loop (for and while), condition (if), switch.
Hands-on work
Write R programs that manipulate object types.
4 Creating and using functions
- Function structure.
- Mathematical functions.
- String functions.
- Time/date functions.
- Set operations.
- Contingency tables.
Hands-on work
Create functions and use them in R programs.
5 Data generation, management and visualization
- Data: regular and random sequences.
- Sample data from R.
- Import and export data.
- Modify object data.
- Examples of graphs built with R.
- Creation of basic graphics.
- Chart options, sharing a chart window, saving a chart.
Hands-on work
Application exercises on data, graphical presentation of results.
6 Statistical analysis
- Introduction to the notion of package (library).
- Download packages.
- Some useful packages.
- Multiple linear regression.
- The case of principal component analysis (PCA).
- The case of CAH classification.
Hands-on work
Continued writing of statistical programs, integration of packages.
Customer reviews
4,3 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
FABIEN G.
22/06/26
4 / 5
The content met my expectations. Clear explanations.
EDITH N.
22/06/26
5 / 5
The training course was very comprehensive and the trainer was a very good teacher. There were plenty of exercises, which allowed us to put all the concepts covered during the course into practice and to identify any areas we hadn’t fully understood. The trainer took the time to check in with each participant and identify any areas where they were struggling. However, the section on statistical analysis was covered very quickly; a three-day course might have allowed for a better understanding of
GAËLLE A.
22/06/26
3 / 5
I would have liked to have spent more time on the final section on statistical methods. I spent far too much time on my own in a virtual classroom, which meant I couldn’t interact with the other course participants.
Publication date : 09/30/2025
PARTICIPANTS
Engineers, data analysts, statisticians, developers in statistical environments or anyone interested in statistical analysis with R.
PREREQUISITES
Familiarity with the Microsoft Windows environment and basic knowledge of statistics.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Engineers, data analysts, statisticians, developers in statistical environments or anyone interested in statistical analysis with R.
PREREQUISITES
Familiarity with the Microsoft Windows environment and basic knowledge of statistics.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class
Dernières places
Date garantie en présentiel ou à distance
Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.