Package: PGaovR
Type: Package
Title: Analysis of Experimental Data using ANOVA and Mean Comparison
Version: 0.1.0
Authors@R: c(
  person("Santosh", "Patil",
         email = "patil.sgstat@gmail.com",
         role = c("aut", "cre"),
         comment = c(ORCID = "0000-0002-5370-3522")),
  person("Yogesh", "Garde",
         email = "y.garde@yahoo.co.in",
         role = "aut",
         comment = c(ORCID = "0000-0002-0297-316X"))
  )
Description: Provides tools for designing and analyzing agricultural
    experiments. It includes functions for generating randomized
    treatment layouts for standard experimental designs such as
    Completely Randomized Design (CRD), Randomized Block Design (RBD),
    Latin Square Design (LSD), Factorial Randomized Block Design
    (FRBD), split-plot design, and strip-plot design. The package
    implements one-factor and two-factor analysis of variance (ANOVA)
    and offers multiple comparison procedures, including Least
    Significant Difference (LSD), Tukey, and Duncan tests, to compare
    treatment means in single-factor and factorial experiments. The
    methods follow classical experimental design principles described 
    in Gomez and Gomez (1984, Statistical Procedures for Agricultural Research, John Wiley & Sons, New York). 
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid, multcompView, stats, utils
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-04-24 11:26:49 UTC; HPC
Author: Santosh Patil [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5370-3522>),
  Yogesh Garde [aut] (ORCID: <https://orcid.org/0000-0002-0297-316X>)
Maintainer: Santosh Patil <patil.sgstat@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:00:43 UTC
Built: R 4.5.2; ; 2026-04-28 20:10:49 UTC; unix
