Name: Matthijs Berends
Type: User
Company: University Medical Center Groningen
Bio: Medical epidemiologist/microbiologist at University Medical Center Groningen and head of @certe-medical-epidemiology
Twitter: msberends
Location: Northern Netherlands
Blog: https://git.io/PhDthesisAMR
Matthijs Berends's Projects
This is my full PhD thesis in R Markdown (using the bookdown package), containing a PDF and EPUB file, and a website in the ‘docs’ folder with the integral content of the book. The shortened URL is git.io/PhDthesisAMR.
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi.org/10.18637/jss.v104.i03.
Source code of the book: "Antimicrobial Resistance Data Analysis With R"
Quickly place relevant badges at the top of your readme, stop copy pasting, start on your project
Authoring Books and Technical Documents with R Markdown
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Source universe for: certe-medical-epidemiology
Fast and Easy Data Cleaning (in R)
Fast and Easy Data Cleaning (in R)
Status badges to inform a pod's latest version and platform released on Cocoapods!
Dplyr: A grammar of data manipulation
Website for blogging build in Jekyll using the so-simple theme
Extension for Thunderbird providing email and contact accounts using Exchange Web Services
Gallery of ggplot2 extensions
Simple Shiny app to encrypt data for safe, anonymised data transfer
A thTheme and RStudio theme from Sublime Text 3
An R package containing data sets with up to date microbial taxonomy
R SDK for interacting with Microsoft 365 APIs
R Package For Nelson's Quality Control Rules
Experience macOS just like before
This is a simple repo with info for my (new) PhD students.
Format columns with colour
Generate static html documentation for an R package
Just a little test repo
A streamlined extension of 'ggplot2' designed to simplify and accelerate the creation of data visualisations. 'plot2' automates common tasks such as axis handling, plot type selection, and data transformation, allowing users to create complex, publication-ready plots with minimal code. It integrates seamlessly with the tidyverse.