Rapid publication-ready MS-Word tables for one-way ANOVA.
Rapid publication-ready MS-Word tables for one-way ANOVA.
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作者：
Assaad HI;Zhou L;Carroll RJ;Wu G
统计表格是生物科学数据分析和报告的重要组成部分。然而，使用基于字母的算法来计算和呈现统计上显著的结果的传统手动过程是繁琐的并且容易出错。基于R语言，我们提出了两个基于网络的软件，个人和汇总数据，免费在线，在http://shiny.stat.tamu.edu:3838/hassaad/Table_report1/和http：//shiny.stat.tamu.edu：3838/hassaad/SumAOV 1/，分别。该软件能够快速生成包含单因素方差分析（ANOVA）结果的可供发表的表格。无需下载。此外，软件可以使用邓肯、Student-Newman-Keuls、Tukey克雷默和Fisher最小显著差异（LSD）检验来执行均值的多重比较。如果选择LSD测试，则可以使用多种方法（例如，Bonferroni和霍尔姆）可用于调整p值。使用该软件，ANOVA的程序可以在几秒钟内使用网络浏览器（优选Mozilla Firefox或Google Chrome）和几次鼠标点击完成。此外，该软件可处理总结数据（即每个治疗组的样本量、平均值和SD或SEM）的单因素ANOVA，并在治疗平均值之间进行事后多重比较。据我们所知，目前可用的商业（例如，SPSS和SAS）或开源软件（例如，R和Python）可以在没有相应编程语言的高级知识的情况下执行如此快速的任务。我们的新的和用户友好的软件进行统计分析，并生成出版准备的MS-Word表的单因素方差分析，预计将促进在农业，生物医学和生命科学的其他领域的研究。
Statistical tables are an important component of data analysis and reports in biological sciences. However, the traditional manual processes for computation and presentation of statistically significant results using a letter-based algorithm are tedious and prone to errors. Based on the R language, we present two web-based software for individual and summary data, freely available online, at http://shiny.stat.tamu.edu:3838/hassaad/Table_report1/ and http://shiny.stat.tamu.edu:3838/hassaad/SumAOV1/, respectively. The software are capable of rapidly generating publication-ready tables containing one-way analysis of variance (ANOVA) results. No download is required. Additionally, the software can perform multiple comparisons of means using the Duncan, Student-Newman-Keuls, Tukey Kramer, and Fisher’s least significant difference (LSD) tests. If the LSD test is selected, multiple methods (e.g., Bonferroni and Holm) are available for adjusting p-values. Using the software, the procedures of ANOVA can be completed within seconds using a web-browser, preferably Mozilla Firefox or Google Chrome, and a few mouse clicks. Furthermore, the software can handle one-way ANOVA for summary data (i.e. sample size, mean, and SD or SEM per treatment group) with post-hoc multiple comparisons among treatment means. To our awareness, none of the currently available commercial (e.g., SPSS and SAS) or open-source software (e.g., R and Python) can perform such a rapid task without advanced knowledge of the corresponding programming language. Our new and user-friendly software to perform statistical analysis and generate publication-ready MS-Word tables for one-way ANOVA are expected to facilitate research in agriculture, biomedicine, and other fields of life sciences.
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影响因子：
6
作者：
Tekwe, Carmen D.;Lei, Jian;Yao, Kang;Rezaei, Reza;Li, Xilong;Dahanayaka, Sudath;Carroll, Raymond J.;Meininger, Cynthia J.;Bazer, Fuller W.;Wu, Guoyao
通讯作者：
Wu, Guoyao
影响因子：
3.5
作者：
Rezaei, Reza;Knabe, Darrell A.;Wu, Guoyao
通讯作者：
Wu, Guoyao
影响因子：
3.5
作者：
Wang, Weiwei;Dai, Zhaolai;Wu, Guoyao
通讯作者：
Wu, Guoyao
影响因子：
4.8
作者：
Wang, Xiaoqiu;Frank, James W.;Bazer, Fuller W.
通讯作者：
Bazer, Fuller W.
影响因子：
2.4
作者：
Piepho, HP
通讯作者：
Piepho, HP