ggplot2: elegant graphics for data analysis
Gespeichert in:
1. Verfasser: | |
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Weitere Verfasser: | |
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
[Cham, Switzerland]
Springer
[2016]
© 2016 |
Ausgabe: | Second edition |
Schriftenreihe: | Use R!
|
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis Klappentext |
Beschreibung: | xvi, 260 Seiten Diagramme (teilweise farbig) |
ISBN: | 9783319242750 331924275X |
Internformat
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Datensatz im Suchindex
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adam_text |
Contents
Part I Getting Started
1 Introduction. 3
1.1 Welcome to ggplot2. 3
1.2 What Is the Grammar of Graphics?. 4
1.3 How Does ggplot2 Fit in with Other R Graphics?. 5
1.4 About This Book. 7
1.5 Installation. 8
1.6 Other Resources.*. 8
1.7 Colophon. 8
References. 10
2 Getting Started with ggplot2. 11
2.1 Introduction. 11
2.2 Fuel Economy Data. 12
2.2.1 Exercises. 12
2.3 Key Components. 13
2.3.1 Exercises. 14
2.4 Colour, Size, Shape and Other Aesthetic Attributes. 14
2.4.1 Exercises. 16
2.5 Facetting. 16
2.5.1 Exercises. 17
2.6 Plot Geoms. 18
2.6.1 Adding a Smoother to a Plot. 18
2.6.2 Boxplots and Jittered Points. 20
2.6.3 Histograms and Frequency Polygons. 22
2.6.4 Bar Charts. 24
2.6.5 Time Series with Line and Path Plots. 25
2.6.6 Exercises. 26
2.7 Modifying the Axes. 27
XI
xii Contents
2.8 Output. 29
2.9 Quick Plots. 30
3 Toolbox. 33
3.1 Introduction. 33
3.2 Basic Plot Types. 34
3.2.1 Exercises. 36
3.3 Labels. 37
3.4 Annotations. 42
3.5 Collective Geoms. 46
3.5.1 Multiple Groups, One Aesthetic. 46
3.5.2 Different Groups on Different Layers. 47
3.5.3 Overriding the Default Grouping. 49
3.5.4 Matching Aesthetics to Graphic Objects. 60
3.5.5 Exercises. 53
3.6 Surface Plots . 54
3.7 Drawing Maps.*. 55
3.7.1 Vector Boundaries. 55
3.7.2 Point Metadata. 57
3.7.3 Raster Images . 59
3.7.4 Area Metadata. 59
3.8 Revealing Uncertainty. 51
3.9 Weighted Data. 52
3.10 Diamonds Data. 54
3.11 Displaying Distributions. 55
3.11.1 Exercises. 59
3.12 Dealing with Overplotting. 59
3.13 Statistical Summaries. 72
3.14 Add-on Packages. 73
References. 74
Part II The Grammar
4 Mastering the Grammar. 77
4.1 Introduction. 77
4.2 Building a Scatterplot. 78
4.2.1 Mapping Aesthetics to Data. 78
4.2.2 Scaling. 80
4.3 Adding Complexity. 82
4.4 Components of the Layered Grammar. 83
4.4.1 Layers. 85
4.4.2 Scales. 85
4.4.3 Coordinate System. 86
4.4.4 Facetting. 87
4.5 Exercises. 87
References. 88
Contents xiii
5 Build a Plot Layer by Layer. 89
5.1 Introduction. 89
5.2 Building a Plot. 89
5.3 Data. 91
5.3.1 Exercises. 94
5.4 Aesthetic Mappings. 94
5.4.1 Specifying the Aesthetics in the Plot vs. in the Layers. 95
5.4.2 Setting vs. Mapping. 96
5.4.3 Exercises. 98
5.5 Geoms. 99
5.5.1 Exercises.101
5.6 Stats. 102
5.6.1 Generated Variables.103
5.6.2 Exercises.105
5.7 Position Adjustments.105
5.7.1 Exercises.107
6 Scales, Axes and Legends.109
6.1 Introduction.109
6.2 Modifying Scales.109
6.2.1 Exercises.Ill
6.3 Guides: Legends and Axes.Ill
6.3.1 Scale Title.112
6.3.2 Breaks and Labels.113
6.3.3 Exercises.117
6.4 Legends.118
6.4.1 Layers and Legends.118
6.4.2 Legend Layout.120
6.4.3 Guide Functions.122
6.4.4 Exercises.125
6.5 Limits.126
6.5.1 Exercises.129
6.6 Scales Toolbox.129
6.6.1 Continuous Position Scales.130
6.6.2 Colour.133
6.6.3 The Manual Discrete Scale.141
6.6.4 The Identity Scale.143
6.6.5 Exercises.144
References.145
7 Positioning.147
7.1 Introduction.147
7.2 Facetting.147
7.2.1 Facet Wrap.148
7.2.2 Facet Grid.149
Contents
7.2.3 Controlling Scales.151
7.2.4 Missing Facetting Variables.154
7.2.5 Grouping vs. Facetting.155
7.2.6 Continuous Variables.157
7.2.7 Exercises.159
7.3 Coordinate Systems.159
7.4 Linear Coordinate Systems.160
7.4.1 Zooming into a Plot with coord-cartesianQ.160
7.4.2 Flipping the Axes with coorcLflipO .161
7.4.3 Equal Scales with coord-fixed().162
7.5 Non-linear Coordinate Systems.162
7.5.1 Transformations with coord-transO.165
7.5.2 Polar Coordinates with coordqpolar ().* * • ♦ 166
7.5.3 Map Projections with coord_map() .167
8 Themes.169
8.1 Introduction.169
8.2 Complete Themes.172
8.2.1 Exercises. 174
8.3 Modifying Theme Components.175
8.4 Theme Elements.178
8.4.1 Plot Elements.178
8.4.2 Axis Elements.179
8.4.3 Legend Elements.180
8.4.4 Panel Elements.182
8.4.5 Facetting Elements.180
8.4.6 Exercises.184
8.5 Saving Your Output.184
References.186
Part III Data Analysis
9 Data Analysis.189
9.1 Introduction.189
9.2 Tidy Data.190
9.3 Spread and Gather.191
9.3.1 Gather.192
9.3.2 Spread.194
9.3.3 Exercises.195
9.4 Separate and Unite.195
9.4.1 Exercises.196
9.5 Case Studies.196
9.5.1 Blood Pressure.197
9.5.2 Test Scores. 198
9.6 Learning More.200
References.201
Contents
xv
10 Data Transformation .203
10.1 Introduction. 203
10.2 Filter Observations.204
10.2.1 Useful Tools.206
10.2.2 Missing Values.207
10.2.3 Exercises.208
10.3 Create New Variables.208
10.3.1 Useful Tools.210
10.3.2 Exercises.211
10.4 Group-wise Summaries.211
10.4.1 Useful Tools.214
10.4.2 Statistical Considerations.214
10.4.3 Exercises.217
10.5 Transformation Pipelines.218
10.5.1 Exercises .219
10.6 Learning More.220
Reference.220
11 Modelling for Visualisation.221
11.1 Introduction.221
11.2 Removing Trend .222
11.2.1 Exercises.226
11.3 Texas Housing Data.226
11.3.1 Exercises.230
11.4 Visualising Models.230
11.5 Model-Level Summaries.232
11.5.1 Exercises.*.234
11.6 Coefficient-Level Summaries.235
11.6.1 Exercises.237
11.7 Observation Data.238
11.7.1 Exercises. 239
Reference.240
12 Programming with ggplot2.241
12.1 Introduction.241
12.2 Single Components.242
12.2.1 Exercises.243
12.3 Multiple Components.244
12.3.1 Plot Components.245
12.3.2 Annotation.245
12.3.3 Additional Arguments.246
12.3.4 Exercises.247
12.4 Plot Functions.* • - 247
12.4.1 Indirectly Referring to Variables.249
XVI
Contents
12.4.2 The Plot Environment.251
12.4.3 Exercises.251
12.5 Functional Programming.252
12.5.1 Exercises.253
Index.255
R Code index
259
UseR!
Hadley Wickham
ggplot2
Elegant Graphics for Data Analysis, Second Edition
This update to the classic book by ggplot2 creator Hadley Wickham upgrades the
book to match the many upgrades to ggplot2 that have happened in the last five
years. ggplot2 is a data visualization package for R that helps users create data
graphics, including those that are multi-layered, with ease. With ggplot2, it’s easy to:
• superimpose multiple layers (points, lines, maps, tiles, box plots) from
different data sources with automatically adjusted common scales
• add customizable smoothers that use powerful modeling capabilities of
R, such as loess, linear models, generalized additive models, and robust
regression
• save any ggplot2 plot (or part thereof) for later modification or reuse
• create custom themes that capture in-house or journal style requirements
and that can easily be applied to multiple plots
• approach a graph from a visual perspective, thinking about how each
component of the data is represented on the final plot
This book will be useful to everyone who has struggled with displaying data
in an informative and attractive way. Some basic knowledge of R is necessary
(e.g., importing data into R). ggplot2 is a mini-language specifically tailored for
producing graphics, and you'll learn everything you need in the book. After reading
this book you'll be able to produce graphics customized precisely for your problems,
and you'll find it easy to get graphics out of your head and on to the screen or page.
New to this edition:
• Brings the book up-to-date with ggplot2 2.1.0, including major updates to
the theme system
• New scales, stats and geoms added throughout
• Additional practice exercises
• A revised introduction that focuses on ggplotQ instead of qplot()
• Updated chapters on data and modeling using tidyr, dplyr and broom |
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edition | Second edition |
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id | DE-604.BV043425932 |
illustrated | Not Illustrated |
indexdate | 2024-08-03T02:55:02Z |
institution | BVB |
institution_GND | (DE-588)1064344704 |
isbn | 9783319242750 331924275X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028843771 |
oclc_num | 953122073 |
open_access_boolean | |
owner | DE-945 DE-355 DE-BY-UBR DE-11 DE-1043 DE-706 DE-20 DE-19 DE-BY-UBM DE-1049 DE-473 DE-BY-UBG DE-188 DE-Aug4 DE-703 |
owner_facet | DE-945 DE-355 DE-BY-UBR DE-11 DE-1043 DE-706 DE-20 DE-19 DE-BY-UBM DE-1049 DE-473 DE-BY-UBG DE-188 DE-Aug4 DE-703 |
physical | xvi, 260 Seiten Diagramme (teilweise farbig) |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer |
record_format | marc |
series2 | Use R! |
spelling | Wickham, Hadley Verfasser (DE-588)1068547812 aut ggplot2 elegant graphics for data analysis Hadley Wickham ; with contributions by Carson Sievert ggplot 2 Second edition [Cham, Switzerland] Springer [2016] © 2016 xvi, 260 Seiten Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Use R! Visualisierung (DE-588)4188417-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Plot Graphische Darstellung (DE-588)4614736-6 gnd rswk-swf Grafische Darstellung (DE-588)4129552-3 gnd rswk-swf Plot Graphische Darstellung (DE-588)4614736-6 s R Programm (DE-588)4705956-4 s DE-604 Datenanalyse (DE-588)4123037-1 s Visualisierung (DE-588)4188417-6 s Grafische Darstellung (DE-588)4129552-3 s Sievert, Carson (DE-588)120332944X ctb Springer International Publishing (DE-588)1064344704 pbl Erscheint auch als Online-Ausgabe 978-3-319-24277-4 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5343114&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028843771&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028843771&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Wickham, Hadley ggplot2 elegant graphics for data analysis Visualisierung (DE-588)4188417-6 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd Plot Graphische Darstellung (DE-588)4614736-6 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
subject_GND | (DE-588)4188417-6 (DE-588)4123037-1 (DE-588)4705956-4 (DE-588)4614736-6 (DE-588)4129552-3 |
title | ggplot2 elegant graphics for data analysis |
title_alt | ggplot 2 |
title_auth | ggplot2 elegant graphics for data analysis |
title_exact_search | ggplot2 elegant graphics for data analysis |
title_full | ggplot2 elegant graphics for data analysis Hadley Wickham ; with contributions by Carson Sievert |
title_fullStr | ggplot2 elegant graphics for data analysis Hadley Wickham ; with contributions by Carson Sievert |
title_full_unstemmed | ggplot2 elegant graphics for data analysis Hadley Wickham ; with contributions by Carson Sievert |
title_short | ggplot2 |
title_sort | ggplot2 elegant graphics for data analysis |
title_sub | elegant graphics for data analysis |
topic | Visualisierung (DE-588)4188417-6 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd Plot Graphische Darstellung (DE-588)4614736-6 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
topic_facet | Visualisierung Datenanalyse R Programm Plot Graphische Darstellung Grafische Darstellung |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=5343114&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028843771&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028843771&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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