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描述
使用 R 的统计计算（亦作为 DASA 3P87 开设） R 语言在数据处理、图形探索与统计分析中的入门。经验数据的一元与多元建模；稳健方法；主成分分析；模型验证；空间结构与分析。侧重上述统计分析方法的计算实现。讲座每周 3 小时；实验每周 1 小时。先修科目：STAT 2P98 或 STAT 2P82 或经授课教师许可。注：本课程可能以多种授课方式提供。授课方式将在学期课程表中列出。数学专业不授予主修学分。
先修课程
- 先修科目：STAT 2P98 或 STAT 2P82 或经授课教师许可
条件与方式
- 先修科目：STAT 2P98 或 STAT 2P82 或经授课教师许可
- 注：本课程可能以多种授课方式提供。授课方式将在学期课程表中列出。数学专业不授予主修学分。
原文参考文本
Statistical Computing with R (also offered as DASA 3P87 ) Introduction to the R language for data manipulation, graphical exploration, and statistical analyses. Univariate and multivariate modelling of empirical data; robust methods; principal component analysis; model validation; spatial structure and analysis. Focus on the computational aspects of the above statistical analysis methods. Lectures, 3 hours per week; Lab, 1 hour per week. Prerequisite(s): STAT 2P98 or STAT 2P82 or permission of the instructor Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Major credit will not be granted to Mathematics majors.
- Prerequisite(s): STAT 2P98 or STAT 2P82 or permission of the instructor
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Major credit will not be granted to Mathematics majors.
来源与参考
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html