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Automatic implementation of ANOVA of repeated measurement design data based on C# and R language |
Guo Yingxuan1,Chen Da2,Zhang Shuangzhe2,Huang Changke1,Lian Hengli1 |
1 Eye Hospital, Wenzhou Medical University, Hangzhou 330020, China;
2 Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
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Abstract Objective Based on C# language and R language, a software is developed, which is convenient for clinicians to use. It is used to realize the automation of variance analysis of repeated measurement design data. Methods First, the statistical analysis data are imported into the software by C# language, then the R language command script is invoked to complete the ANOVA and the result output of the repeated measurement design data. Finally, the example in the 5th edition of medical statistics published in 2020 is used, combined with the example results and SPSS operation results, to verify the effect of the automation of the software. Results The results of statistical analysis included basic statistical description, repeated measurement ANOVA and result chart of pairwise comparison within the group. Based on the combination of C# language and R language, the running results of the statistical software are completely consistent with the results of manual calculation and analysis of teaching materials and SPSS operation. The operation is simple and the results are intuitive, which greatly surpasses the repeated operation of manual analysis and SPSS menu selection in efficiency; at the same time, the low-level errors in manual analysis and SPSS operation steps are avoided to the greatest extent, and the results are presented automatically, which reduces the errors in judgment and selection of results, and ensures the accuracy and standardization of results. Conclusion The software can automatically realize the single factor, two factor and two / multi-level ANOVA of repeated measurement design data, which is worthy of clinical application.
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Received: 06 February 2021
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