Initiation à la manipulation de données avec le package dplyr
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: https://doi.org/10.25796/bdd.v2i2.20513.
The second article was devoted to graphical visualization of statistical data with the Esquisse package, easy to use and requiring little learning: https://doi.org/10.25796/bdd.v2i3.21313
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 : https://doi.org/10.25796/bdd.v2i4.52303
The fourth article was devoted to Rmarkdown package https://doi.org/10.25796/bdd.v3i1.54523
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.
• Data Wrangling Part 2: Transforming your columns into the right shape https://suzan.rbind.io/2018/02/dplyr-tutorial-2/
• Data Wrangling Part 3: Basic and more advanced ways to filter rows https://suzan.rbind.io/2018/02/dplyr-tutorial-3/
• Data Wrangling Part 4: Summarizing and slicing your data https://suzan.rbind.io/2018/04/dplyr-tutorial-4/
Copyright (c) 2020 Claire Della Vedova
This work is licensed under a Creative Commons Attribution 4.0 International License.