Su13-STATS-300-01 : Advanced Topics in Statistics. 2013 Summer
Abstract/Contents
- Course Description
- Topic: Exploratory Multivariate Data Analysis. Describing and visualizing data with principal component analysis (PCA) for continuous data, correspondence analysis (CA) for contingency tables, multiple correspondence analysis (MCA) for categorical data, factorial analysis for mixed data (FAMD) for both continuous and categorical data, and multiple factor analysis (MFA) for data structured into groups of variables. Studying and visualization of the correlation between groups of variables with the RV coefficient. Performing PCA with missing values, matrix completion of continuous and categorical data with principal components. Examples from sensory analysis, public health, genetics. All the analysis will be performed with R.
Description
Type of resource | text |
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Extent | 1 text file |
Place | Stanford (Calif.) |
Date created | 2013 |
Language | English |
Digital origin | born digital |
Creators/Contributors
Sponsor | Stanford University. Department of Statistics | |
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Teacher | Hoffman, Matt |
Subjects
Subject | Stanford University |
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Subject | Teaching > Outlines, syllabi, etc |
Genre | Syllabi |
Bibliographic information
Location | |
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Finding Aid |
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Course ID | Su13-STATS-300-01 |
Location | https://purl.stanford.edu/mx441vt1918 |
Location | SC1454 |
Repository | Stanford University. Libraries. Department of Special Collections and University Archives |
Access conditions
- Use and reproduction
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
- Copyright
- Copyright © The Board of Trustees of the Leland Stanford Junior University. All rights reserved.
Collection
Stanford University Syllabi
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