R Visualizations

R Visualizations

Author: David Gerbing

Publisher: CRC Press

Published: 2020-04-28

Total Pages: 334

ISBN-13: 0429894910

DOWNLOAD EBOOK

R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author’s lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses. Key Features Presents thorough coverage of the leading R visualization system, ggplot2. Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2. Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps. Inclusion of the various approaches to R graphics organized by topic instead of by system. Presents the recent work on interactive visualization in R. David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.


How to Derive a Formula

How to Derive a Formula

Author: A. A. Kornyshev

Publisher: Wspc (Europe)

Published: 2020

Total Pages: 0

ISBN-13: 9781786346445

DOWNLOAD EBOOK

V. 1. Basic analytical skills and methods for physical scientists -- v. 2. Further analytical skills and methods for physical scientists.


A FORTRAN Program that Derives Air Temperature, Density, and Composition as a Function of Height and Exospheric Temperature

A FORTRAN Program that Derives Air Temperature, Density, and Composition as a Function of Height and Exospheric Temperature

Author: John Christopher Kotelly

Publisher:

Published: 1972

Total Pages: 52

ISBN-13:

DOWNLOAD EBOOK

Dr. L.C. Jacchia (1971) has developed a static diffusion model of the atmosphere that matches parameters at 150 km and the observed densities from satellite drag at greater heights. His report presents tables showing temperature, density and composition as a function of height and exospheric temperature. The Jacchia model has been used in working programs by reading the tables and converting from log densities to simple densities and vice-versa, to interpolate the tables and make the necessary corrections. This report presents a FORTRAN subroutine which gives the precise density information (along with the appropriate corrections) directly by using the analytic equations. (Author).