Course : R environment, manipulations and elementary statistics
Practical course - 2d
- 14h00 - Ref. MDR
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 | Build datasets for analysis from multiple sources |
| Manipulate data to transform them using various functions |
| Drawing curves and graphs with R |
| Apply several algorithms for calculating statistical indicators |
Intended audience
Statisticians, analysts, engineers, developers. Anyone who needs to manipulate data, process data numerically and graphically, or create statistics in R.
Prerequisites
Basic knowledge of R software, or knowledge equivalent to that acquired in the course "R environment, introduction" (ref. TDA).
Course schedule
1 Reminders
- The RStudio environment.
- Data types in R, lists, DataFrames, factors and ordinal variables.
- Dates and time series.
Hands-on work
Getting to grips with scripts in the RStudio environment.
2 Import-export and data production
- Read an ASCII text file, Excel, SPSS, Minitab, SAS or Matlab.
- Read data from the keyboard and copy and paste.
- Read/write files and databases.
Hands-on work
Read/write data from files, database, data lake and in R format.
3 Data manipulation, functions
- Operations on matrices or DataFrames.
- The outer, apply, lapply, sapply and mapply functions.
- Logical and relational operations.
- String manipulation. Date and time unit manipulation.
Hands-on work
Handle matrices and DataFrames. Use lapply or sapply functions to replace for loops.
4 Techniques for drawing curves and graphs
- Graphic windows: handling, saving.
- Low-level plot functions.
- Color management and graphic parameters.
- Add text, titles, axes and captions.
- Cross, organ pipe, stacked or circular diagrams. Mustache box.
- Empirical distribution function graph. Density histogram with equal or unequal class amplitudes.
- Frequency polygon. Graphical representations in a bivariate framework.
Hands-on work
Techniques for drawing curves and graphs.
5 Elementary mathematics and statistics
- Structuring variables according to type.
- Digital summaries.
- Association measures.
- Concepts of random number generation and random variables.
- Law of large numbers and central limit theorem.
- Confidence intervals.
- Standard hypothesis testing. Other hypothesis tests.
- One-factor, two-factor or repeated-measures analysis of variance.
Hands-on work
Implementation of the algorithm for determining the type of a variable. Interpretation of a confidence interval.
Customer reviews
4,7 / 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.
HELENE S.
18/12/25
5 / 5
Très bien
KEVIN D.
18/12/25
5 / 5
Excellente formation.Contenu conforme à la demande et la pédagogie du formateur est très appréciée.
CLAUDINE K.
11/12/25
4 / 5
Le contenu pédagogique est très bien fait
PARTICIPANTS
Statisticians, analysts, engineers, developers. Anyone who needs to manipulate data, process data numerically and graphically, or create statistics in R.
PREREQUISITES
Basic knowledge of R software, or knowledge equivalent to that acquired in the course "R environment, introduction" (ref. TDA).
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.
Statisticians, analysts, engineers, developers. Anyone who needs to manipulate data, process data numerically and graphically, or create statistics in R.
PREREQUISITES
Basic knowledge of R software, or knowledge equivalent to that acquired in the course "R environment, introduction" (ref. TDA).
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.
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