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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

The physical functioning dataset

This chapter will use data from the National Health and Nutrition Examination Survey (NHANES). This survey collects data in two year cycles for about 10,000 civilian community-dwelling Americans and is available on the CDC website at http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm. The cleaned dataset that we will use in this chapter is available on the Internet at http://scholar.harvard.edu/gerrard/mastering-scientific-computation-r. Please see the terms of use at the CDC's website. We will start by loading the dataset and creating a matrix from the data frame:

phys.func <- read.csv('phys_func.txt')[,c(-1)]
phys.func.mat <-  as.matrix(phys.func)

This dataset includes cleaned data from the years 2003 to 2010 with all missing values removed. Answers that were not missing but answered as unknown or refused have also been removed. Survey respondents are asked how much difficulty they have with the following 20 items (questions are...

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