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 ...

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 ...

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 ...