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

Şeyma Yaşar; Ahmet Arslan; Cemil Çolak; Saim Yoloğlu

doi:10.19127/mbsjohs.704456

EN

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

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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Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Authors

Şeyma Yaşar ^*
0000-0003-1300-3393
Türkiye

Ahmet Arslan
0000-0001-8626-9542
Türkiye

Cemil Çolak
0000-0001-5406-098X
Türkiye

Saim Yoloğlu This is me
0000-0002-9619-3462
Türkiye

Publication Date

August 31, 2020

Submission Date

March 16, 2020

Acceptance Date

April 5, 2020

Published in Issue

Year 2020 Volume: 6 Number: 2

DOI

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

IZ

https://izlik.org/JA54WX59WT

Vancouver

1.Şeyma Yaşar, Ahmet Arslan, Cemil Çolak, Saim Yoloğlu. A Developed Interactive Web Application for Statistical Analysis: Statistical Analysis Software. Mid Blac Sea J Health Sci. 2020 Aug. 1;6(2):227-39. doi:10.19127/mbsjohs.704456