Name: Gonzalo Suárez
Type: User
Company: Facultad Veterinaria, Universidad de la República
Bio: Professor of Pharmacology Veterinary
Research Interests: Application of pharmacometrics in optimizing drug therapy.
Always learning
Location: Montevideo, Uruguay
Gonzalo Suárez's Projects
Repositório da turma de 07/2021 do curso Relatórios e visualização de dados.
Repositório da turma de 8 de 2021 do curso Pacotes.
Repositório da turma de 09/2021 do curso Dashboards.
Introduction to linear mixed models
A Shiny App that Produce Forest Plots to Visualize Covariate Effects
R Package for Interactive Panel Data Exploration
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.
A robot powered training repository :robot:
Sesión de análisis de incidencia de enfermedades mediante mixed glm por Juan Edwards Molina (INTA Balcarce)
A tutorial on generalized linear mixed models in R
Curso para aprender a trabajar con el sistema de control de versiones Git y la plataforma GitHub desde cero y para principiantes. Elaborado durante las emisiones en directo desde Twitch de MoureDev.
prueba
Repositorio correspondiente al Workshop del 5 de Octubre de 2020 en el marco del Congreso LatinR 2020.
R-Ladies Freiburg (Germany) workshop materials
Analysis of personal Peloton stats using the Peloton API
A very simple RevealJS plugin extension that adds support for switching the cursor to a 'pointer' style element while presenting.
ciclo de webinars R en Agronomía
Lesson files for Practical Applications in R for Psychologists.
A plugin for Reveal.js that adds indicators to show the amount of slides in a vertical stack.
Quarto website
Presentación para las R-Ladies Madrid sobre la manipulación de datos con R. 2020-10-19
Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, and a time-to-event outcome. Estimation is Sequentially Doubly Robust (SDR). Application is corticosteroids effect on mortality.
Source code for my slides
Get started with the {targets} R package in four minutes