We are often asked how to perform row-wise operations in a data.frame (or a tibble) the answer is, as usual, “it depends” 🙂 Let’s look at some cases that should fit your needs. library(tidyverse) Let’s make an example dataset: base <- tibble::tibble( a = 1:10, b = 1:10, c = 21:30 ) %>% head() base ## # A tibble: 6 ...

In the same way you fall learning to walk, you make mistakes learning R. The goal of this article was to regroup the most common mistakes one makes while learning R and to explain them in order for you you know how to fix them. Facing an issue, the most important advice would be : “Read the error message”. It ...

You did an experiment or a survey, or you collected data, and you are ready to analyse them. But what is the first step? Everyone will tell you that you have to visualise your data with graphs. Yes, but how? and why? What are the common pitfalls to avoid? We are very grateful to Marion Louveaux, bio-image data analyst for ...

A blogpost inspired by a tweet and a YouTube video. ...

Let’s welcome the viridis palette into the new version of {ggplot2}! Viri-what ? viridis is one of the favorite color palettes of one of the member of the team (guesswho). The viridis palette was first developed for the python package matplotlib, and has been implemented in R since. The strengths of this palette are that: plots are beautiful (which is ...

Our diligent readers already know how important having well formatted data is for efficient statistical analyses. Here we gathered some advice on how to make a well structured database, in order to perform accurate analyses, and avoid driving your fellow analysts crazy. We are very grateful to Marion Louveaux, bio-image analyst for this translation of french version “Une base de ...