R graphs cookbook : over 70 recipes for building and customizing publication-quality visualization of powerful and stunning R graphs / Jaynal Abedin, Hrishi V. Mittal.

Format:

Book

Author/Creator:

Abedin, Jaynal, author.

Mittal, Hrishi V., author.

Series:

Quick answers to common problems

Language:

English

Subjects (All):

R (Computer program language).

Charts, diagrams, etc.

Computer graphics.

Physical Description:

1 online resource (368 p.)

Edition:

Second edition.

Place of Publication:

Birmingham : Packt Publishing, 2014.

Language Note:

English

Biography/History:

Abedin Jaynal: Jaynal Abedin currently holds the position of Statistician at the Centre for Communicable Diseases (CCD) at icddr, b (www. icddrb. org). He attained his Bachelor's and Master's degrees in Statistics from the University of Rajshahi, Rajshahi, Bangladesh. He has vast experience in R programming and Stata and has efficient leadership qualities. He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata along with statistical aspects in public health research. His primary area of interest in research includes causal inference and machine learning. He is currently involved in several ongoing public health research projects and is a co-author of several work-in-progress manuscripts. In the useR! Conference 2013, he presented a posteredeR: Email Data Extraction using R, available at http: //www. edii. uclm. es/~useR-2013/abstracts/files/34_edeR_Email_Data_Extraction_using_R. pdfand obtained the best application poster award. He is also involved in reviewing scientific manuscripts for the Journal of Applied Statistics (JAS) and the Journal of Health Population and Nutrition (JHPN). He is also a successful freelance statistician on online platforms and has an excellent reputation through his high-quality work, especially in R programming. He can be contacted at joystatru@gmail. com, http: //bd. linkedin. com/in/jaynal; his Twitter handle is @jaynal83. V. Mittal Hrishi: Hrishi V. Mittal has been working with R for a few years in different capacities. He was introduced to the exciting world of data analysis with R when he was working as a senior air quality scientist at King's College, London, where he used R extensively to analyze large amounts of air pollution and traffic data for London's Mayor's Air Quality Strategy. He has experience in various other programming languages but prefers R for data analysis and visualization. He is also actively involved in various R mailing lists, forums, and the development of some R packages.

Summary:

Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.

Contents:

Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: R Graphics; Base graphics using the default package; Trellis graphs using lattice; Graphs inspired by Grammar of Graphics; Chapter 2: Basic Graph Functions; Introduction; Creating scatter plots; Creating line graphs; Creating bar charts; Creating histograms and density plots; Creating box plots; Adjusting x and y axes' limits; Creating heat maps; Creating pairs plots; Creating multiple plot matrix layouts; Adding and formatting legends; Creating graphs with maps

Saving and exporting graphsChapter 3: Beyond the Basics - Adjusting Key Parameters; Introduction; Setting colors of points, lines, and bars; Setting plot background colors; Setting colors for text elements - axis annotations, labels, plot titles, and legends; Choosing color combinations and palettes; Setting fonts for annotations and titles; Choosing plotting point symbol styles and sizes; Choosing line styles and width; Choosing box styles; Adjusting axis annotations and tick marks; Formatting log axes; Setting graph margins and dimensions; Chapter 4: Creating Scatter Plots; Introduction

Grouping data points within a scatter plotHighlighting grouped data points by size and symbol type; Labeling data points; Correlation matrix using pairs plots; Adding error bars; Using jitter to distinguish closely packed data points; Adding linear model lines; Adding nonlinear model curves; Adding nonparametric model curves with lowess; Creating three-dimensional scatter plots; Creating Quantile-Quantile plots; Displaying the data density on axes; Creating scatter plots with a smoothed density representation; Chapter 5: Creating Line Graphs and Time Series Charts; Introduction

Adding customized legends for multiple-line graphsUsing margin labels instead of legends for multiple-line graphs; Adding horizontal and vertical grid lines; Adding marker lines at specific x and y values using abline; Creating sparklines; Plotting functions of a variable in a dataset; Formatting time series data for plotting; Plotting the date or time variable on the x axis; Annotating axis labels in different human-readable time formats; Adding vertical markers to indicate specific time events; Plotting data with varying time-averaging periods; Creating stock charts

Chapter 6: Creating Bar, Dot, and Pie ChartsIntroduction; Creating bar charts with more than one factor variable; Creating stacked bar charts; Adjusting the orientation of bars - horizontal and vertical; Adjusting bar widths, spacing, colors, and borders; Displaying values on top of or next to the bars; Placing labels inside bars; Creating bar charts with vertical error bars; Modifying dot charts by grouping variables; Making better, readable pie charts with clockwise-ordered slices; Labeling a pie chart with percentage values for each slice; Adding a legend to a pie chart

Chapter 7: Creating Histograms

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed November 13, 2014).

ISBN:

1-78398-879-7

OCLC:

894790402