Initiation à la manipulation de données avec le package dplyr


  • Claire Della Vedova 1087 chemin de Sainte Roustagne, 04100 MANOSQUE, France



Logiciel R, statistique, épidémiologie, formation, RDPLF


Editor’s note: The main purpose of the RDPLF (French Language Peritoneal Dialysis and Home Hemodialysis Registry) is to help physicians and nurses, caring for patients treated by home dialysis, to evaluate their clinical practices and also to conduct studies based on anonymous exports of the data base . To this end, since June 2019, a series of training articles on the use of free R-software is published quarterly with each issue of the Bulleti, de la Dialyse à Domicile. The goal is to allow all teams to perform basic statistics and quickly visualize their data.

The first article in this tutorial was devoted to downloading and installing R software on Macintosh and PC computers:

The second article was devoted to graphical visualization of statistical data with the Esquisse package, easy to use and requiring little learning:

The third article was devoted to ggplot2 package and required a learning effort, but it allows the realization of many types of visualizations, with renderings that can be of very high quality, and thus directly usable in publications :

The fourth article was devoted to Rmarkdown package

This fift article is devoted to the dpylr package, used for data manipulation.

As in the previous issues, an example file, taken from the RDPLF database will be used.

Author Biography

Claire Della Vedova, 1087 chemin de Sainte Roustagne, 04100 MANOSQUE, France

Claire Della Vedova is an engineer in biostatistics / data analyst, she daily uses the software R to analyze data. She has worked for more than 15 years in the fields of environment and health, and has trained many students and researchers in the use of R. She runs since November 2017 the blog Statistics and Software R whose goal is help beginners to better understand the standard statistical methods and to use the R software more effectively, especially through tutorials:


Data Wrangling Part 1: Basic to Advanced Ways to Select Columns
• Data Wrangling Part 2: Transforming your columns into the right shape
• Data Wrangling Part 3: Basic and more advanced ways to filter rows
• Data Wrangling Part 4: Summarizing and slicing your data



How to Cite

Della Vedova C. Initiation à la manipulation de données avec le package dplyr. Bull Dial Domic [Internet]. 2020 Jun. 15 [cited 2023 Mar. 28];3(2):93-109. Available from: