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KenSyn (version 0.3)

Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis

Description

Demo and dataset accompaying the books : De l'analyse des rseaux exprimentaux la mta-analyse: Mthodes et applications avec le logiciel R pour les sciences agronomiques et environnementales (Published 2018-06-28, Quae, for french version) by David Makowski, Francois Piraux and Francois Brun - Knowledge Synthesis in Agriculture : from Experimental Network to Meta-Analysis (in preparation for 2018-06, Springer , for English version) by David Makowski, Francois Piraux and Francois Brun A full description of all the material is in both books. ACKNOWLEDGMENTS : The French network "RMT modeling and data analysis for agriculture" () have contributed to the development of this R package. This project and network are lead by ACTA (French Technical Institute for Agriculture) and was funded by a grant from the Ministry of Agriculture and Fishing of France.

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Version

Install

install.packages('KenSyn')

Monthly Downloads

168

Version

0.3

License

LGPL-3

Maintainer

Francois Brun

Last Published

April 8th, 2019

Functions in KenSyn (0.3)

organic

Meta-analysis dataset on comparison of organic to conventional crop systems.
wheat_var

Network of experiment to evaluate Wheat varieties on one single year.
wheat_var_itk

Network of experiment to evaluate Wheat varieties on one single year with different cropping systems.
wheat_var_soil

Network of experiment to evaluate Wheat varieties on two contrasted soils.
KenSyn-package

Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis
wheat_var_years

Network of experiment to evaluate Wheat varieties on several years (2005-2010).
N2O

Meta-analysis dataset to estimate the response of N2O emissions to the applied N fertilizer rate.
wheatyield

Wheat Yield at a regional scale (fake data).
citrus

Meta-analysis dataset: estimation the effectiveness of a fungicidal treatment to control Phyllosticta citricarpa, a citrus fungus.
machines

Workers testing a new machine.