Agricolae was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, Faculty of Industrial and Systems Engineering, National Engineering University (UNI), Lima-Peru. Original idea, support and data sets came from CIP (International Potato Center). Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

klaR, MASS, nlme, cluster, spdep, AlgDesign, utils

klaR, MASS, nlme, cluster, spdep, AlgDesign, graphics
Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

klaR, MASS, nlme, cluster, AlgDesign, graphics

Visualization of Design of Experiments from the 'agricolae'
Package
person(family="Harbers", given="Jens", email="jensharbers@gmail.com", role=c("aut","cre"),
comment = c(ORCID = "0000-0001-6634-623X"))
Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework
The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a
visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type.
The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
'agricolae' is a package name 'ggplot2' is a package name
Jens Harbers [aut, cre] (<https://orcid.org/0000-0001-6634-623X>)