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"The Workflow of Data Analysis Using Stata, by J. Scott Long, is a productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introdu…
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Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Application…
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Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and fou…
"Gnuplot is an open-source graphics program that helps you analyze, interpret, and present numerical data. Available for Unix, Mac, and Windows, it is well-maintained, mature, and totally free. Gnuplot in Action is a guide for developers, engineers, and scientists. The book star…
Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and fou…
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian dat…
"A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing,…
A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing, …