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Mastering Scientific Computing with R

You're reading from   Mastering Scientific Computing with R Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783555253
Length 432 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Programming with R 2. Statistical Methods with R FREE CHAPTER 3. Linear Models 4. Nonlinear Methods 5. Linear Algebra 6. Principal Component Analysis and the Common Factor Model 7. Structural Equation Modeling and Confirmatory Factor Analysis 8. Simulations 9. Optimization 10. Advanced Data Management Index

Datasets


We will use three datasets in this chapter, which are discussed in the following sections to give you an idea of their content.

Political democracy

This is a dataset included in the lavaan package. This is a classic dataset for use in SEM. It contains variables concerned with political freedom movements and economic development in 1960 and 1965, as follows:

  • x1: This variable is for per capita gross national product in 1960

  • x2: This variable is for per per capita energy consumption in 1960

  • x3: This variable is for proportion of the labor force in the industry in 1960

  • y1: This variable is for ratings of the freedom of the press in 1960

  • y2: This variable is for freedom of political opposition in 1960

  • y3: This variable is for fairness of elections in 1960

  • y4: This variable is for legislature effectiveness in 1960

  • y5: This variable is for freedom of political opposition in 1965

  • y6: This variable is for freedom of political opposition in 1965

  • y7: This variable is for fairness of elections in 1965...

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