A Developed Interactive Web Application for Statistical Analysis: Statistical Analysis Software

Year 2020, Volume: 6 Issue: 2, 227 - 239, 31.08.2020

Şeyma Yaşar , Ahmet Arslan , Cemil Çolak , Saim Yoloğlu

https://doi.org/10.19127/mbsjohs.704456

Cited By: 10

Abstract

Objective: Hypothesis testing, correlation, and regression analysis are statistical methods developed to be used in the statistical inference process which is the main purpose of all scientific studies. The purpose of this study is to develop a web-based application using the Shiny package in R software, which allows the evaluation of the results of scientific research to be made in a simpler, easier and understandable way. Methods: In this study, the tests and techniques developed in the software were applied to the data derived from the simulation. This web tool will be updated upon the updated R software packages, including ggplot2, shiny, reshape, plotly, shinydashboard, dplyr, plyr, tinytex, DT, rhandsontable, shinyjs, tools, readxl, foreign, shinyWidgets, shinyLP, shinyjqui, stringr, olsrr, perturb, mctest, relaimpo, MASS, MKmisc, aod, caret, shinydashboardPlus, rmarkdown. Scripts were written for calculations that could not be done by these packages.
Results: In the web-based software developed to perform statistical analyses, the results and outputs of the derived dataset were interpreted.
Conclusion: The developed interactive user-friendly web application is freely accessible through http://biostatapps.inonu.edu.tr/IAY. In future studies, it is aimed to strengthen the software by adding modules that perform different multivariate statistical analyzes.

Keywords

Statistical analysis software, hypothesis testing, correlation analysis, regression analysis, web-based software

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