Aggregation Operators and Preordered Sets
Tools supporting multi-criteria decision making, including
variable number of criteria, by means of aggregation operators
and preordered sets. Possible applications include, but are not
limited to, scientometrics and bibliometrics.
R (>= 2.12.0), base, stats, grDevices, graphics, Matrix,
igraph
c( person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "gagolews@rexamine.com"), person("Anna", "Cena", role =
"ctb", email = "cena@rexamine.com") )
'agop-package.R' 'visualization.R' 'preorders.R'
'agops-impact.R' 'agops-classical.R' 'distrib-pareto2.R'
'distrib-pareto2-estimators.R' 'distrib-pareto2-ftest.R'
Marek Gagolewski [aut, cre], Anna Cena [ctb]

R (>= 2.12.0), stats, grDevices, graphics, Matrix, igraph
Marek Gagolewski [aut, cre],
Anna Cena [ctb]

Tools supporting multi-criteria and group decision making,
including variable number of criteria, by means of
aggregation operators, spread measures,
fuzzy logic connectives, fusion functions,
and preordered sets. Possible applications include,
but are not limited to, quality management, scientometrics,
software engineering, etc.
c(
person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "marek@gagolewski.com"),
person("Anna", "Cena", role = "ctb",
email = "cena@rexamine.com")
)

c(
person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "marek@gagolewski.com",
comment = c(ORCID = "0000-0003-0637-6028")),
person("Anna", "Cena", role = "ctb",
email = "cena@rexamine.com",
comment = c(ORCID = "0000-0001-8697-5383"))
)

Tutorial Analysis of Some Agricultural Experiments
Example software for the analysis of data from designed
experiments, especially agricultural crop experiments. The basics
of the statistical analysis of designed experiments are discussed
using real examples from agricultural field trials.
A range of statistical methods are  exemplified using a range
of R statistical packages. The experimental
data is made available as separate data sets for each example
and the R analysis code is made available as example code.
The example code can be readily extended, as required.
lmerTest, lsmeans, pbkrtest, lattice, nlme, ggplot2