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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Paperback
Publisher Price: $79.99
ISBN13: 9781484228715
Publisher: Apress
Published: Feb 21 2019
Pages: 638
Weight: 2.48
Height: 1.33 Width: 7.00 Depth: 10.00
Language: English
What You'll Learn
- Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixedeffects models, machine learning, and parallel processing
- Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis
- Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification
- Address missing data using multiple imputation in R
- Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability
Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are givenproven code to reduce time to result(s).
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