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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
An excess of positive results: Comparing the standard Psychology literature with Registered Reports
TL;DR: For the past decade, psychological scientists have been selectively publishing results that support the tested hypotheses (positive) distorting the available evidence for scientific claims as mentioned in this paper, which is called selective publishing.
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An empirical comparison of machine learning techniques for dam behaviour modelling
TL;DR: This work aims at testing the prediction capability of some state-of-the-art algorithms to model dam behaviour, in terms of displacements and leakage, and BRT models stand out as the most accurate overall, followed by NN and RF.
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Effects of manure fertilizer on crop yield and soil properties in China: A meta-analysis
TL;DR: In this paper, the authors performed a meta-analysis of 774 comparisons from 141 published studies and found that manure application increased yield by an average of 7.6% compared to mineral fertilizer.
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Whole-Genome Resequencing of a Worldwide Collection of Rapeseed Accessions Reveals the Genetic Basis of Ecotype Divergence
Dezhi Wu,Zhe Liang,Tao Yan,Ying Xu,Lijie Xuan,Juan Tang,Gang Zhou,Ulrike Lohwasser,Shuijin Hua,Haoyi Wang,Xiaoyang Chen,Qian Wang,Le Zhu,Antony Maodzeka,Nazim Hussain,Zhilan Li,Xuming Li,Imran Haider Shamsi,Ghulam Jilani,Linde Wu,Hongkun Zheng,Guoping Zhang,Boulos Chalhoub,Lisha Shen,Hao Yu,Lixi Jiang +25 more
TL;DR: The global pattern of genetic polymorphisms in rapeseed determined by resequencing a worldwide collection of germplasm accessions is reported, providing important insights into the genomic footprints of rapeseed evolution and flowering-time divergence among three ecotype groups, and will facilitate screening of molecular markers for accelerating rapeseed breeding.
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An investigation into per- and polyfluoroalkyl substances (PFAS) in nineteen Australian wastewater treatment plants (WWTPs).
Timothy L. Coggan,Damien Moodie,Adam Kolobaric,Drew Szabo,Jeff Shimeta,Nicholas D. Crosbie,Nicholas D. Crosbie,Elliot Lee,Milena Fernandes,Bradley O Clarke +9 more
TL;DR: The compound 6:2 FTS was an important contributor to PFAS emissions in the studied Australian WWTPs, supporting the need for future research on its sources (including precursor degradation), environmental fate and impact in Australian aquatic environments receiving WWTP effluent.