> Dear all, > Are there good R stat examples in the field of agronomy (especially field > experiments)? > Thanks > ----------------------------------------/----------------------------------------- > Khaled IBRAHIMI, PhD > Assistant Professor, Soil Science & Environment > Higher Institute of Agricultural Sciences of Chott-Mariem > The University of Sousse, Tunisia > Tel.: 216 97 276 835 > Email: ibrahimi.is...@gmail.com
I apologise preemptively if this reply messes up the formatting. Hi Khaled If your data has a lot of (possibly correlated) parameters, then I would suggest to look at ade4. The main tool behind this package is Principal Component Analysis (PCA) and although aimed at ecological data, there are specific applications to agronomical contexts, such as: soil and leaf analyses; market price analyses or yield analyses; dimensionality reduction of the weather component; and several other types of possible agronomy related data contexts. There are other packages for PCA as well, but I don't think they were specifically aimed at a biological context. If you are looking for specific papers on this, I would recommend as a starting point any paper by Patrice Cadet. Or, if you have specific questions, you are welcome to ask me. Best regards Phillip Phillip-Jan van Zyl MSc (Category Theory) ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
