Öz
Objective: In this study, it is aimed to develop a new user-friendly web-based software in order to easily carry out the use of permutation tests that can overcome the difficulties of use due to the restrictions in the usage phases of parametric and nonparametric tests and can be used as an alternative to these tests.
Methods: Shiny, an R package, was used to develop the "permutation tests" software. In the developed software, by selecting “the Specify Sample Number” tab, the number of samples presented as “Single”, “Two” and “More than two” options is selected and analyzes are made by selecting the appropriate data set from the file upload menu.
Results: The data set called “dietstudy” was used to examine the work of the developed web-based software and to evaluate its outputs. “Two Independent Sample Permutation Tests” were selected and analyzed to see whether there was a difference between the variables in terms of gender. According to the results, no statistically significant difference was found for the triglyceride levels Triglyceride, 1st interim triglyceride, 2nd interim triglyceride, 3rd interim triglyceride ve Final triglyceride in terms of gender, but a statistically significant difference was obtained in terms of Weight, 1st interim weight, 2nd interim weight, 3rd interim weight ve Final weight variables.
Conclusion: The "permutation tests" software developed is a new user-friendly web-based software that can be used to easily perform permutation tests that can be used as an alternative to the preferred parametric and non-parametric tests.
Anahtar Kelimeler
Parametric tests nonparametric tests permutation tests Web-based software
Kaynakça
- Alpar R. Applied multivariate statistical methods. Detay Publishing, 2013.
- Buskirk T D, Willoughby L M, Tomazic T J. Nonparametric statistical techniques. The Oxford handbook of quantitative methods. Statistical analysis. 2013;2:106-141.
- Chang W, Cheng J, Allaire J, Xie Y, McPherson J. Shiny: web application framework for R. R package version 1. 2017.
- Corp, I. IBM SPSS statistics for windows, version 25.0. Armonk, NY: IBM Corp. 2017.
- Field A. Discovering statistics using IBM SPSS statistics. Sage. 2013. Good P I. Resampling methods. Springer. 2006.
- Hothorn T, Hornik K, Van De Wiel M A, Zeileis A. Implementing a class of permutation pests: the coin package. 2008.
- Kartal M. Hypothesis Tests in Scientific Research. Nobel publishing. Ankara. 2010.
- Ludbrook J, Dudley H. Why permutation tests are superior to t and F tests in biomedical research. The American Statistician. 1998;52:127-132.
- Mangiafico S S. Summary and analysis of extension program evaluation in R. Rutgers Cooperative Extension: New Brunswick. NJ, USA. 2016.
- Minitab I MINITAB statistical software. Minitab Release. 2000.
- Schoonjans F, Zalata A, Depuydt C, Comhaire F. MedCalc: a new computer program for medical statistics. Computer methods and programs in biomedicine. 1995;48:257-262.
- Shapiro S S, Wilk, M B. An analysis of variance test for normality (complete samples). Biometrika. 1965;52:591-611.
- StataCorp L. Stata data analysis and statistical Software. Special Edition Release. 2007;10:733.
Öz
Kaynakça
- Alpar R. Applied multivariate statistical methods. Detay Publishing, 2013.
- Buskirk T D, Willoughby L M, Tomazic T J. Nonparametric statistical techniques. The Oxford handbook of quantitative methods. Statistical analysis. 2013;2:106-141.
- Chang W, Cheng J, Allaire J, Xie Y, McPherson J. Shiny: web application framework for R. R package version 1. 2017.
- Corp, I. IBM SPSS statistics for windows, version 25.0. Armonk, NY: IBM Corp. 2017.
- Field A. Discovering statistics using IBM SPSS statistics. Sage. 2013. Good P I. Resampling methods. Springer. 2006.
- Hothorn T, Hornik K, Van De Wiel M A, Zeileis A. Implementing a class of permutation pests: the coin package. 2008.
- Kartal M. Hypothesis Tests in Scientific Research. Nobel publishing. Ankara. 2010.
- Ludbrook J, Dudley H. Why permutation tests are superior to t and F tests in biomedical research. The American Statistician. 1998;52:127-132.
- Mangiafico S S. Summary and analysis of extension program evaluation in R. Rutgers Cooperative Extension: New Brunswick. NJ, USA. 2016.
- Minitab I MINITAB statistical software. Minitab Release. 2000.
- Schoonjans F, Zalata A, Depuydt C, Comhaire F. MedCalc: a new computer program for medical statistics. Computer methods and programs in biomedicine. 1995;48:257-262.
- Shapiro S S, Wilk, M B. An analysis of variance test for normality (complete samples). Biometrika. 1965;52:591-611.
- StataCorp L. Stata data analysis and statistical Software. Special Edition Release. 2007;10:733.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Sağlık Kurumları Yönetimi |
| Bölüm | Olgu Sunumu |
| Yazarlar | |
| Yayımlanma Tarihi | 31 Ağustos 2020 |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 6 Sayı: 2 |
