Simultaneous Mass Transfer and Chemical Reactions in Engineering Science
Autor BKC Chanen Limba Engleză Hardback – 7 mar 2023
Preț: 829.47 lei
Preț vechi: 1077.24 lei
-23% Nou
Puncte Express: 1244
Preț estimativ în valută:
158.74€ • 164.89$ • 131.86£
158.74€ • 164.89$ • 131.86£
Carte disponibilă
Livrare economică 09-15 ianuarie 25
Livrare express 28 decembrie 24 - 03 ianuarie 25 pentru 71.62 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783527346653
ISBN-10: 3527346651
Pagini: 672
Dimensiuni: 180 x 249 x 37 mm
Greutate: 1.45 kg
Editura: Wiley Vch
Locul publicării:Weinheim, Germany
ISBN-10: 3527346651
Pagini: 672
Dimensiuni: 180 x 249 x 37 mm
Greutate: 1.45 kg
Editura: Wiley Vch
Locul publicării:Weinheim, Germany
Notă biografică
BERTRAM K. C. CHAN, PhD, 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.
Cuprins
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