Package: visvaR
Title: Shiny-Based Statistical Solutions for Agricultural Research
Version: 1.0.0
Authors@R: c(
    person("Ramesh", "Ramasamy", , "ramesh.rahu96@gmail.com", role = c("aut", "cre","cph"),
           comment = c(ORCID = "0000-0002-5433-1417")),
    person("Mathiyarasi", "Kulandaivadivel", , "mathiarasi6@gmail.com", role = "ctb"),
    person("Tamilselvan", "Arumugam", , "tamilselvan372511@gmail.com", role ="ctb")
    )
Description: Visualize Variance is an intuitive 'shiny' applications tailored for agricultural research data analysis, including one-way and two-way analysis of variance, correlation, and other essential statistical tools. Users can easily upload their datasets, perform analyses, and download the results as a well-formatted document, streamlining the process of data analysis and reporting in agricultural research.The experimental design methods are based on classical work by Fisher (1925) and Scheffe (1959). The correlation visualization approaches follow methods developed by Wei & Simko (2021) and Friendly (2002) <doi:10.1198/000313002533>.
License: AGPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/rameshram96/visvaR,
        https://rameshram96.github.io/visvaR/
BugReports: https://github.com/rameshram96/visvaR/issues
Imports: agricolae, bslib, corrplot, flextable, ggcorrplot, ggplot2,
        officer, patchwork, shiny, tibble, tidyr, rlang, dplyr, DT,
        readxl, htmltools, utils, stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), writexl, shinytest2, extrafont
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-11-14 06:02:52 UTC; Ramesh_PhD
Author: Ramesh Ramasamy [aut, cre, cph]
    (<https://orcid.org/0000-0002-5433-1417>),
  Mathiyarasi Kulandaivadivel [ctb],
  Tamilselvan Arumugam [ctb]
Maintainer: Ramesh Ramasamy <ramesh.rahu96@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-14 15:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:54:18 UTC; unix
