首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Cate-Nelson Analysis for Bivariate Data Using R-project
  • 作者:Salvatore S. Mangiafico
  • 期刊名称:Journal of Extension
  • 印刷版ISSN:0022-0140
  • 电子版ISSN:1077-5315
  • 出版年度:2013
  • 卷号:51
  • 期号:5
  • 出版社:Journal of Extension, Inc.
  • 摘要:In Extension, it is helpful to be able to analyze data in simple and innovative ways that produce easily interpretable results. Cate-Nelson analysis is a simple way to divide bivariate data into two populations to emphasize the relationship between the x variable and y variable. While a Cate-Nelson analysis could be performed by manually calculating iterative Sums of Squares to determine the best fit, this process could be partially automated with the included SAS code. Alternatively, the included R-project code automatically completes the analysis, outputs the relevant statistics, and produces the relevant plots.
  • 关键词:Cate-Nelson ; R-project ; SAS ; statistics ; software
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有