ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham

ggplot2: Elegant Graphics for Data Analysis Hadley Wickham ebook
Format: pdf
ISBN: 0387981403, 9780387981406
Publisher: Springer
Page: 222

Ggplot2 is a large package and it is impossible to cover it all, so you need to refer to the Ggplot2 website for details of all the geoms, scales and stats. The tool is aimed at researchers without specialist computer skills. Provides both rich theory and powerful applications. Full Article: Dried Whole Plant Artemisia Annua as an Antimalarial Therapy (PDF). Figures are accompanied by code required to produce them. Wickham H (2009) ggplot2: elegant graphics for data analysis. The framework further allows for control of nuisance parameters which are inherent in .. [4,7,17]) by indicating both excitatory and inhibitory influences, incorporating temporal dynamics, and making full use of the data despite the abundant censoring. ŏ表于1 年之前，作者：cloud wei; 来自yufei_311 的最后回复; 相关主题：. Generalized nonlinear models in R: an overview of the gnm package. Ggplot2: Elegant Graphics for Data Analysis (Use R). 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. Wickham H: ggplot2: Elegant Graphics for Data Analysis. Wickham H: [http://had.co.nz/ggplot2/book] webcite. Data graphics benefit from being embedded in a statistical analysis environment, which allows the integration of visualizations with analysis workflows. An online tool, which extracts and summarises nucleotide or amino acid sequence data at specified loci of interest, was developed and tested using the basic core promoter/precore (BCP/PC) region of the hepatitis B virus (HBV). Ggplot2: Elegant Graphics for Data Analysis (Use R!) Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures. Ggplot2: elegant graphics for data analysis. R Core Team: R: A Language and Environment for Statistical Computing. Ggplot2: Elegant Graphics for Data Analysis 中译版本初稿已出，有人mark吗？ (63 篇回复) (43 个人参与). Survival analysis extends the specificity of investigations based on co-occurrence of mutations (i.e.