Analysing seed germination and emergence data with R: a tutorial. Part 3

Published at October 19, 2021 ·  11 min read

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/ Reshaping time-to-event data The first thing we should consider before working through this tutorial is the structure of germination/emergence data. To our experience, seed scientists are used to storing their datasets in several formats, that may not be immediately usable with the ‘drcte’ and ‘drc’ packages, which this tutorial is built upon....

Analysing seed germination and emergence data with R (a tutorial). Part 2

Published at October 9, 2021 ·  16 min read

Survival analysis and germination/emergence data: an overlooked connection Seed germination and emergence data describe the time until the event of interest occurs and, therefore, they can be put together in the wide group of time-to-event data. You may wonder: what’s the matter with time-to-event data? Do they have anything special that needs our attention? The answer is, definitely, yes! Indeed, with very few exceptions, time-to-event data are affected by a peculiar form of uncertainty, which takes the name of censoring....

Analysing seed germination and emergence data with R (a tutorial). Part 1

Published at October 7, 2021 ·  3 min read

Introduction to the tutorial Germination/emergence assays are relatively easy to perform, by following standardised procedures, as described, e.g., by the International Seed Testing Association (see here ). In short, we take a sample of seeds and we put them in an appropriate container. We put the container in the right environmental conditions (e.g., relating to humidity content and temperature) and we inspect the seeds according to a regular schedule (e....