First steps with RHome Training Catalog First steps with R Analysis Data Science Open Source On-site courses Short courses Face-to-face Remote/Virtual English French Objectives Discover the R language and software and learn the first basics of this language Prerequisites Have a basic understanding of statistics. Learning and technical resources Dedicated digital training platform (LMS) Lecture followed by practical exercises with situational setting. Educational materials and exercises provided in digital format Assessment Pre-training questionnaire evaluation questionnaire Results & skills expected at the end of the training At the end of the training course trainees will be able to format their data and produce basic statistical analyses using the R language. Program R1: First steps in R Introduction Entering a command in the console Writing a clean, structured and commented script Create, modify, view and delete an object Manipulating different data types and data structures The R objects: vectors, factors, arrays, lists, data frames, functions R2: Import, control and export data arrays View and edit working directory Import data contained in a .csv file Check the types of its variables and modify them if needed Categorical variables: factors Controlling for missing data Exporting a data table to a .csv file R3: Numerical valuation of data Manipulating your dataset (selecting variables, rows …) Numerical valuation: getting to know the dataset, summarizing and quantifying the information Descriptive statistics, counts, pivot tables Data aggregation (statistics by group of observations) R4: Graphical valuation of data Creating basic graphs: histogram, scatterplot, box plot, bar chart, pie chart Changing the various basic chart options (color, title, point and line type, size, …) Add elements to a chart (points, lines, segments, legends, …) Save a graph Download the full program Duration 14 hours Level Beginner Audience Anyone wishing to format data and produce statistical analyses with the R language Participants 8 people maximum Instructor Salima Bouayad Agha Salima hold a PHD in economics from the University of Paris 1 Panthéon-Sorbonne, and spares no efforts when it comes to passing on knowledge and know-how. She is genuinely devoted to Educational purposes. Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Analysis Modular training course - NVivo basics Objectives Understand the role of NVivo in the qualitative analysis process. Understand and master the NVivo environment. Source management Case management Source coding Crossing matrices Documenting your analysis; memos, annotations and links to. 06, 07, 09 and 10 March Register Ask for a quote Upcoming trainings Analysis Modular training course - NVivo Advanced Objectives Discussing with participants on their NVivo practices and deepen the following knowledge and skills: Mastering the NVivo environment. Source management Case management Source coding Queries and matrices Documenting your analysis; memos, annotations and links to. Viewing and exporting Importing and using data from social networks and the web Collaborative work and coding comparison. Please contact us if you would like to have this training course held in English. 13, 14, 16 and 17 March Register Ask for a quote Upcoming trainings Analysis Scientific graphs with PRISM Objectives Discover all the possibilities offered by PRISM to get the graph you want, automated plotting of fit curves included. 12 and 13 June Register Ask for a quote Previous Next