This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
Cox regression model is widely used in medical research to assess the effect of several risk factors on the survival time of patients. The {ggforest} function from {survminer} Paket easily creates a forest plot of its model estimates.
L'expertise du logiciel R : Consultance en statistique, développement et programmation R et formation à R. Formation d'équipes et migration depuis SAS.
"Documents, examples, tutorials and resources on R and data mining." Various topics touched upon. Does not go very deep into each topic. Some sections in construction. Also provides links to further documents and books.
Online book to take your R (programming) skills to the next next level. The authors is quite influencial in the R community and "knows what he's talking about". This is for advanced R users!
Dieses Buch soll als Einführung und Nachschlagewerk für die Statistik-Software GNU R (kurz R) dienen. R beruht auf der statistischen Programmiersprache S.