In priviere/PPBstats: An R package to perform analysis found within PPB programmes

A full tutorial of PPBstats is available in a book.

Each section present a decision tree to chose the right analysis according to the quesitons and the constraints, theory behind each model is presented as well as complete reproductible examples based on a workflow.

Table of contents:

• Preface
• 1 Philosophy of PPBstats
  • 1.1 What is Participatory Plant Bredding ?
  • 1.2 Objectives of PPBstats
  • 1.3 Contribute
  • 1.4 Design and statistical methods according to the objectives
  • 1.5 Let’s go: install PPBstats and the data used in the book!
• 2 Analysis of network seed circulation (M8)
  • 2.1 Introduction
  • 2.2 Unipart network for seed lots analysis
  • 2.3 Unipart network for location analysis
  • 2.4 Bipart network analysis
• 3 Analysis of agronomic traits
  • 3.1 Introduction
  • 3.2 Design the experiment
  • 3.3 Sow, note, harvest, measure …
  • 3.4 Describe the data
  • 3.5 Family 1 of analysis : Compare different varieties evaluated for selection in different locations
  • 3.6 Family 2 of analysis : Study the response of varieties under selection over several environments
  • 3.7 Family 3 of analysis : effects from family 1 and 2 in a network of farms
  • 3.8 Family 4 of analysis : specific research questions on one farm or more
  • 3.9 Family 5 of analysis : multivariate analysis
• 4 Sensory analysis
  • 4.1 Introduction
  • 4.2 Taste and measure …
  • 4.3 Hedonic analysis (M9b)
  • 4.4 Napping analysis (M9a)
  • 4.5 Rank analysis (M9c)
• 5 Molecular analysis (M3)
• 6 Communicate results to farmers
  • 6.1 Technical aspects
  • 6.2 Organisational aspects on collective work
• Acknowledgement
• References

knitr::include_graphics("../book/figures/main-functions-agro-family-2.png")

knitr::include_graphics("../book/figures/decision-tree_all.png")

priviere/PPBstats documentation built on May 6, 2021, 1:20 a.m.