Tag: data cleaning
Data cleaning tips for making the most of longitudinal data

Before visualising and analysing longitudinal data, it is essential to prepare it correctly. In this guide, we cover data cleaning tips before visualisation Read more
Attrition bias: what is it and how to measure it

Attrition bias explained: how participant dropout occurs, how to measure it, and why it matters for valid longitudinal research. Read more
Understanding the longitudinal data workflow: a comprehensive guide

Unlock insights from longitudinal data with our step-by-step guide, from import to analysis. Master the workflow to elevate your research. Read more
Exploring longitudinal data in R: tables and summaries

Unlock the power of R for longitudinal data analysis! Learn to navigate tables and summaries with ease in our latest guide. Read more
Cleaning longitudinal data in R: a step-by-step guide

Explore key R commands for cleaning longitudinal data, including recoding variables and handling missing data effectively. Read more
Preparing longitudinal data for analysis in R: a step-by-step guide

Explore the crucial steps of data preparation for longitudinal analysis in R, from importing to reshaping data, in this step-by-step guide. Read more
Visualizing transitions in time using R and alluvial graphs

Learn how to visualize transitions in time for categorical data using Sankey plot/river/alluvial graphs and R. Easy hands one example using real data Read more
Data structures for longitudinal analysis: wide versus long

Learn how to create, store and reshape longitudinal data. Reshaping data from wide to long data format and back using R. Hands on examples Read more






