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Description

Collection of Shiny Apps for Agricultural Research Data Analysis.

Allows user to have graphical user interface to perform analysis of Agricultural experimental data. On using the functions in this package a Interactive User Interface will pop up. Apps Works by simple upload of files in CSV format.

grapesAgri1: Collection of shiny applications for data analysis in Agriculture-Part 1

General R-shiny based Analysis Platform Empowered by Statistics in Agriculture part-1 (grapesAgri1)

R-Package for Data Analysis in Agriculture.

Version : 0.1.0; Copyright (C) 2021-2025: Kerala Agricultural University; License: GPL-3
Gopinath, P. P.1, Parsad, R.2, Joseph, B.1, Adarsh, V.S.3
  1. Department of Agricultural Statistics, College of Agriculture, Vellayani, Kerala Agricultural Univesity.
  2. ICAR-Indian Agricultural Statistics Research Institute, New Delhi.
  3. Department of Agricultural Statistics, BCKV, West Bengal

CRAN/METACRAN GitHubCRAN_Status_Badge DOI GitHub release (latest by date) GitHub R package version GitHub language count Libraries.io dependency status for GitHub repo GitHub code size in bytes R-CMD-check Build Status DOI


Introduction

Agricultural experiments demands a wide range of statistical tools for analysis, which includes from Exploratory analysis, Design of experiments and Statistical genetics. Majority of the Agricultural scientists prefer graphical user interface for performing analysis . As R-shiny provides a platform to create interactive user interface, we have utilized it to produce interactive interfaces for commonly used analysis tools in Agrciultural experiments. grapesAgri1(General R-shiny based Analysis Platform Empowered by Statistics for data analysis in Agriculture-part1) is a collection of shiny based applications for some basic statistical analysis commonly used in agricultural research. It can be utilised by scientific community who prefers an interactive user interface. On using the functions in this package a Graphical User Interface will pop up. Apps Works by simple upload of files in CSV format. Results can be downloaded in HTML format. Plots and Graphs can be generated, which is also downloadable as .png file.

Installation

The package can be installed from CRAN as follows:

# Install from CRAN
install.packages('grapesAgri1', dependencies=TRUE)

The development version can be installed from github as follows:

# Install grapesAgri1 development version from Github using the code below:
if (!require('devtools')) install.packages('devtools')
devtools::install_github("pratheesh3780/grapesAgri1")

usage

grapesAgri1::descApp() # descriptive Statistics and Visualization 
grapesAgri1::corrApp() # Correlation Analysis
grapesAgri1::ttApp() # Compare Means
grapesAgri1::crdApp() # Completely Randomized Design
grapesAgri1::layoutApp() # Field layout of experiments
grapesAgri1::rbdApp() # Randomized Block Design 

Apps included in the package

Sl. No.App TitleFunction to callRemark
1Descriptive Statistics and VisualizationdescApp()Summary Statistics, Summary Statistics by Group, Box plot, Histogram, Q-Q plot and Shapiro-Wilk's test
2Correlation AnalysiscorrApp()Simple correlation, Correlation Matrix, correlogram and scatterplot
3Compare Means: Small samle teststtApp()One sample t-test, Two sample unpaired t-test, paired t-test, Two sample unpaired Welch t-test, F test, Box plot, Paired Plot
4Completely Randomized DesigncrdApp()One-way Analysis of variance (equal and unequal replication), Multiple comparison test, boxplot and barchart with confidence interval
5Field layout of experimentslayoutApp()Field layout of following designs can be obtained: Completely Randomized Design (CRD), Randomized Complete Block Design (RCBD), Split-plot design, Strip-plot design, Augmented RCBD
6Randomized Block DesignrbdApp()Two-way Analysis of variance, Multiple comparison test, boxplot and barchart with confidence interval

Further Reading

To know more about analysis tools included in the package see the following links

  1. Design and Analysis of experiments.
  2. Correlation Analysis.
  3. Hypothesis Testing.
  4. Descriptive statistics and Exploratory data analysis.
  5. Test for significance.

Glimpse to grapesAgri1 in Action!

It is very user friendly. Just upload your file in CSV format.

Note: we apologize that in grapesAgri1 version 1.0.0 in CRAN you may not be able to download model data set in crdApp()and rbdApp(). Issue will be cleared in the version 1.1.0 releasing by next month. You can instead download from github where the issue is resolved.

Thank You

See below for some random images of GUI of grapesAgri1

Community guidelines

Report Issues:

Contribution to the software:

  • Please open an issue in the issue tracker of the project that describes the changes you would like to make to the software and open a pull request with the changes. The description of the pull request must reference the corresponding issue.
Metadata

Version

1.1.0

License

Unknown

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