Open AccessBook
ggplot2: Elegant Graphics for Data Analysis
Reads0
Chats0
TLDR
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.Abstract:
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, its easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised 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 your 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 their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and youll learn everything you need in the book. After reading this book youll be able to produce graphics customized precisely for your problems,and youll find it easy to get graphics out of your head and on to the screen or page.read more
Citations
More filters
Journal ArticleDOI
A dynamic continental moisture gradient drove Amazonian bird diversification.
Sofia Marques Silva,Sofia Marques Silva,A. Townsend Peterson,Lincoln Silva Carneiro,Lincoln Silva Carneiro,Tibério Cesar Tortola Burlamaqui,Tibério Cesar Tortola Burlamaqui,Camila C. Ribas,Tiago Sousa-Neves,Tiago Sousa-Neves,Leonardo de Sousa Miranda,Alexandre M. Fernandes,Fernando M. d’Horta,Fernando M. d’Horta,Lucas Eduardo Araújo-Silva,Romina Batista,Romina Batista,Cinthia H. M. M. Bandeira,Sidnei M. Dantas,Mateus Vidotti Ferreira,Mateus Vidotti Ferreira,Denise M. Martins,Joiciane Oliveira,Tainá C. Rocha,Carla H. Sardelli,Gregory Thom,Gregory Thom,Péricles Sena do Rêgo,Marcos Pérsio Dantas Santos,Fernando Sequeira,Marcelo Vallinoto,Alexandre Aleixo,Alexandre Aleixo +32 more
TL;DR: It is found that climate-driven refugial dynamics interact with dynamic riverine barriers to produce a dominant pattern that links landscape dynamics with biotic diversification and explains the east-west diversity gradients across the Amazon.
Journal ArticleDOI
Visualization of microbes by 16S in situ hybridization in term and preterm placentas without intraamniotic infection.
Maxim Seferovic,Ryan M. Pace,Matthew Carroll,Benjamin D. Belfort,Angela Major,Derrick M. Chu,Diana A. Racusin,Eumenia Costa da Cunha Castro,Kenneth L. Muldrew,James Versalovic,Kjersti Aagaard +10 more
TL;DR: Presumptively intact placental microbes are visualized as low-abundance, low-biomass and sparse populations within the placenta regardless of gestational age and mode of delivery and further support several previously published findings.
Journal ArticleDOI
Metabarcoding a diverse arthropod mock community.
Thomas Braukmann,Natalia Ivanova,Sean W. J. Prosser,Vasco Elbrecht,Dirk Steinke,Sujeevan Ratnasingham,Jeremy R deWaard,Jayme E Sones,Evgeny Zakharov,Paul D. N. Hebert +9 more
TL;DR: The results reveal how variation in protocols can have substantial impacts on perceived diversity unless sequencing coverage is sufficient to reach an asymptote.
Journal ArticleDOI
Diversity, specificity and speciation in larval Diplostomidae (Platyhelminthes: Digenea) in the eyes of freshwater fish, as revealed by \DNA\ barcodes
Sean A. Locke,Sean A. Locke,Fatima Shihab Al-Nasiri,Monica Caffara,Fabiana B. Drago,Martin Kalbe,Angela Rose Lapierre,J. Daniel McLaughlin,Pin Nie,Robin M. Overstreet,Geza Thais Rangel e Souza,Geza Thais Rangel e Souza,Ricardo Massato Takemoto,David J. Marcogliese +13 more
TL;DR: In this article, distance-based analysis of cytochrome c oxidase 1 barcodes and, in some specimens, internal transcribed spacer (ITS-1, 5.8S, ITS-2) sequences was performed for over 2000 diplostomids from Africa, the Middle East, Europe, Asia and the Americas.
Journal ArticleDOI
Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
Elizabeth K. Unger,Jacob P. Keller,Michael Altermatt,Ruqiang Liang,Aya Matsui,Chunyang Dong,Olivia J Hon,Zi Yao,Junqing Sun,Samba Banala,Meghan E. Flanigan,David A. Jaffe,Samantha Hartanto,Jane Carlen,Grace O. Mizuno,Phillip M. Borden,Amol V. Shivange,Lindsay P. Cameron,Steffen Sinning,Suzanne M. Underhill,David E. Olson,Susan G. Amara,Duncan Temple Lang,Gary Rudnick,Jonathan S. Marvin,Luke D. Lavis,Henry A. Lester,Veronica A. Alvarez,Andrew J. Fisher,Jennifer A. Prescher,Thomas L. Kash,Vladimir Yarov-Yarovoy,Viviana Gradinaru,Loren L. Looger,Lin Tian +34 more
TL;DR: iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions, and it is expected that both machine-learning-guided binding-pocket redesign and iSero SnFR will have broad utility for the development of other sensors and in vitro and in-vivo serotonin detection, respectively.