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ggplot2: Elegant Graphics for Data Analysis
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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
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Journal ArticleDOI
CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases
Alexander Zizka,Alexander Zizka,Daniele Silvestro,Daniele Silvestro,Tobias Andermann,Josué A. R. Azevedo,Camila Duarte Ritter,Camila Duarte Ritter,Daniel Edler,Daniel Edler,Harith Farooq,Andrei Herdean,María Ariza,Ruud Scharn,Sten Svantesson,Niklas Wengström,Vera M. A. Zizka,Alexandre Antonelli +17 more
TL;DR: In this paper, the authors address issues with data quality, especially incorrect species occurrence records from online databases, which are indispensable resources in ecological, biogeographical and palaeontological research.
Journal ArticleDOI
Genomic features of bacterial adaptation to plants.
Asaf Levy,Isai Salas González,Isai Salas González,Maximilian Mittelviefhaus,Scott Clingenpeel,Sur Herrera Paredes,Sur Herrera Paredes,Sur Herrera Paredes,Jiamin Miao,Jiamin Miao,Kunru Wang,Giulia Devescovi,Kyra Stillman,Freddy Monteiro,Freddy Monteiro,Bryan Rangel Alvarez,Derek S. Lundberg,Derek S. Lundberg,Tse-Yuan Lu,Sarah L. Lebeis,Zhao Jin,Meredith McDonald,Meredith McDonald,Andrew P. Klein,Andrew P. Klein,Meghan E. Feltcher,Meghan E. Feltcher,Meghan E. Feltcher,Tijana Glavina del Rio,Sarah R. Grant,Sharon L. Doty,Ruth E. Ley,Bingyu Zhao,Vittorio Venturi,Dale A. Pelletier,Julia A. Vorholt,Susannah G. Tringe,Susannah G. Tringe,Tanja Woyke,Tanja Woyke,Jeffery L. Dangl +40 more
TL;DR: This work sequenced 484 genomes of bacterial isolates from roots of Brassicaceae, poplar, and maize and validated candidates from two sets of plant-associated genes, including one involved in plant colonization and the other serving in microbe–microbe competition between plant and microbe.
Journal ArticleDOI
Sample size planning for classification models.
TL;DR: The test sample sizes necessary to achieve reasonable precision in the validation of classifier training and testing are determined and it is found that 75-100 samples will usually be needed to test a good but not perfect classifier.
Journal ArticleDOI
Single-cell expression profiling reveals dynamic flux of cardiac stromal, vascular and immune cells in health and injury.
Nona Farbehi,Ralph Patrick,Ralph Patrick,Ralph Patrick,Aude Dorison,Aude Dorison,Munira Xaymardan,Munira Xaymardan,Munira Xaymardan,Vaibhao Janbandhu,Vaibhao Janbandhu,Vaibhao Janbandhu,Katharina Wystub-Lis,Joshua W. K. Ho,Joshua W. K. Ho,Robert E. Nordon,Robert E. Nordon,Richard P. Harvey,Richard P. Harvey,Richard P. Harvey +19 more
TL;DR: This work performed single-cell RNA-sequencing of the total non-CM fraction and enriched fibroblast lineage cells from murine hearts at days 3 and 7 post-sham or myocardial infarction (MI) surgery identified >30 populations representing nine cell lineages, including a previously undescribed fibro Blast lineage trajectory present in both sham and MI hearts leading to a uniquely activated cell state.
Journal ArticleDOI
Data driven prediction models of energy use of appliances in a low-energy house
TL;DR: Data filtering to remove non-predictive parameters and feature ranking is discussed to include in energy prediction models and for building performance modeling.