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Advanced SAS Programming for R Users, Part 1


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Advanced SAS Programming for R Users, Part 1
Advanced SAS Programming for R Users, Part 1
MP4 | Video: 720p | Duration: 1:44:10 | English | Subtitles: VTT | 295.4 MB

SAS is one of the most used data analytics platforms in the world. Enhance your programming skillset by learning how to apply your understanding of R— the language of big data—in the SAS environment at an advanced level. Instructor Jordan Bakerman covers several different advanced techniques for analyzing data via inferential procedures. Learn about linear regression with PROC REG, estimating linear combinations with the general linear model procedure, mixed models and the MIXED procedure, and more.

Note: You can visit the SAS site to obtain a copy of the software, and use the company's online data sets to do the course exercises.

Topics include:

  • Analyzing the data via inferential procedures
  • Linear regression with PROC REG
  • Scoring new data sets
  • ANOVA and ANCOVA with the general linear model procedure
  • Estimating linear combinations with the general linear model procedure
  • Benefits of the GLMSELECT procedure
  • Mixed models and the MIXED procedure

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  1. R用户的高级SAS编程:第一部分 SAS是当今世界使用最为广泛的数据分析平台之一。通过学习如何在SAS环境中,在高层级中应用你对大数据语言R语言的理解,提高你的编程技巧。讲师Jordan Bakerman会讲到几种不同的,通过推到过程用于分析数据的高级技术。通过PROC REG学习有关线性递归,通过一遍线性模型过程估计线性组合,混合模式和MIXED过程等。 注意:你可以在SAS网站获得软件,使用公司的在线数据集做本教程的联系。 主要内容: • 通过推理过程分析数据 • 使用PROC REG进行线性递归 • 新数据集的收集 • 使用一般线性模型过程进行ANOVA和ANCOVA • 使用一般线性模型过程评估线性组合 • GLMSELECT 过程的好处 混合模式和MiXED过程
    wilde(特殊组-翻译)2个月前 (03-27)