Preface
1. INTRODUCTION TO SIMULTANEOUS MASS TRANSFER AND
CHEMICAL REACTIONS IN ENGINEERING SCIENCE
1.1 Mathematical Models
1.2 Diffusion Models for Environmental Transport
2. DATA ANALYSIS USING R PROGRAMMING
2.1 Data and Processing
2.2 Beginning R
2.2.1 A First Session Using R
2.2.2 The R Environment
2.3 R as a Calculator
2.3.1 Mathematical Operations Using R
2.3.2 Assignment of Values in R, and Computations using Vectors and Matrices
2.3.3 Computations in Vectors and Simple Graphics
2.3.4 Use of Factors in R Programming
2.3.5 Simple Graphics
2.3.6 x as Vectors and Matrices in Statistics
2.3.7 Some Special Functions that Create Vectors
2.3.8 Arrays and Matrices
2.3.9 Use of the Dimension Function dim in R
2.3.10 Use of the Matrix Function matrix in R
2.3.11 Some Useful Functions Operating on Matrices in R
2.3.12 NA `Not Available? for Missing Values in Datasets
2.3.13 Special Functions That Create Vectors
2.4 Using R in Data Analysis in Human Genetic Epidemiology
2.4.1 Entering Data at the R Command Prompt
2.4.1.1 Creating a data-frame for R computation using the EXCEL spreadsheet (on a Windows platform)
2.4.1.2 Obtaining a Data Frame from a Text File
2.4.1.3 Data Entry and Analysis Using the Function data.entry()
2.4.1.4 Data Entry Using Several Available R Functions
2.4.1.5 Data Entry and Analysis Using the Function
2.4.1.6 Data Entry and Analysis Using the Function source()
2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R
2.4.1.8 Human Genetic epidemiology Using R: The CRAN Package GASTON in Genetics
2.4.2 The Function list() and the Making of data.frame() in R
2.5 Univariate, Bivariate, and Multivariate Data Analysis
2.5.1 Univariate Data Analysis
2.5.2 Bivariate and Multivariate Data Analysis
2.6 Some Final Remarks on Statistics and Biostatistics, Using
Appendix 1 Documentation for the plot function
Special References for Chapter 2
References
Index
