Analysis of Experimental Data using ANOVA and Mean Comparison R package PGaovR version 0.1.0 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). Software Depends: R (>= 3.5) Imports: ggplot2, grid, multcompView, stats, utils Santosh Patil <patil.sgstat@gmail.com> Comprehensive R Archive Network (CRAN) Santosh Patil [aut, cre] (ORCID: <https://orcid.org/0000-0002-5370-3522>), Yogesh Garde [aut] (ORCID: <https://orcid.org/0000-0002-0297-316X>) GPL (>= 3) 2026-04-28 application/tgz https://CRAN.R-project.org/package=PGaovR doi:10.32614/CRAN.package.PGaovR