Simultaneous mass transfer with biochemical and chemical reactions is a complex subject, particular with the need to develop a clear-cut method in engineering design where these processes occur. This book provides such an approach to develop an applicable design.
All known design approaches are carefully examined and compared, with emphasis on the advantages and disadvantages in the selection of design methods. This involves carefully stating, comparing and assessing the theoretical basis of each design model. Carefully developed Existence and Uniqueness Theorems for the general design model are developed and established; step-by-step design guidelines provided.
Table des matières
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
A propos de l’auteur
BERTRAM K. C. CHAN, Ph D, is Consulting Biostatistician at the Loma Linda University Health, School of Medicine, Loma Linda, CA. Dr. Chan is also Software Development and Forum Lecturer at the School of Public Health, LLUH Department of Biostatistics and Epidemiology.
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