pamCIP

datasets

These functions are currently utilized by the International Potato Center Research (CIP), the Statistics and Informatics Instructors and the Students of the Universidad Nacional Agraria La Molina Peru, and the Specialized Master in "Bosques y Gestion de Recursos Forestales" (Forest Resource Management). This package contains functionality for the statistical analysis of experimental designs applied specially for field experiments in  agriculture and plant breeding. Planning of field  experiments: Lattice, factorial, RCBD, CRD, Latin Square, Greaco, BIB, PBIB, Alpha design. Comparison of multi-location trials: AMMI (biplot and triplot), Stability. Comparison  between treatments: LSD, Bonferroni, HSD, Waller, Kruskal, Friedman, Durbin, Van Der Waerden. Resampling and simulation: resampling.model, simulation.model, analysis Mother and baby trials, Ecology: Indices Biodiversity, path analysis, consensus cluster, Uniformity Soil: Index Smith's.

Felipe Mendiburu

agricolae

Statistical Procedures for Agricultural Research

pamCIP function

A data frame with 43 observations on the following 107 variables.
  Rownames: code and genotype's name. 
  column data: molecular markers.

pamCIP: Data Potato Wild

Description

Usage

Arguments

format

source

Details

References

Examples