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Titlebook: Learn ggplot2 Using Shiny App; Keon-Woong Moon Book 2016 Springer International Publishing AG 2016 R graphics.visualization.ggplot2.vector

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發(fā)表于 2025-3-21 18:00:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Learn ggplot2 Using Shiny App
編輯Keon-Woong Moon
視頻videohttp://file.papertrans.cn/583/582653/582653.mp4
概述Step-by-step instructions—a tutorial approach to make beautiful plots without R code.Over 400 screen shots and illustrations.Makes creating graphics with ggplot2 easy and accessible.Includes supplemen
叢書名稱Use R!
圖書封面Titlebook: Learn ggplot2 Using Shiny App;  Keon-Woong Moon Book 2016 Springer International Publishing AG 2016 R graphics.visualization.ggplot2.vector
描述This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding..In widespread use in the statistical communities,?R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics?within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. ?.This manual—"integrating" R, ggplot2, and Shiny—introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With?the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint file
出版日期Book 2016
關(guān)鍵詞R graphics; visualization; ggplot2; vector graphics; powerpoint; R code; plot; shiny app
版次1
doihttps://doi.org/10.1007/978-3-319-53019-2
isbn_softcover978-3-319-53018-5
isbn_ebook978-3-319-53019-2Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Make a Plot by ggplot2,In the previous chapter, you have learned how to make a plot with just a click, without coding and applying various themes to the plot.
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Scatter Plots(I),In this chapter, you can learn how to make a scatter plots to show the relationship between two variables.
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Logistic Regression,The biopsy data in the MASS package contains histogic data from 699 breast tumors. The result of biopsy was recorded as “” or “malignancy” in . column. With this data, we wants to make this plot.
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Labelling Points in a Scatter Plot,In this chapter, you can learn how to label points in a scatter plot. We use the mtcars data extracted from 1974 Motor Trend US magazine. This data comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles(1973–1974 models).
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Making a 2D Density Plot,In this chapter, you can learn how to make a 2D density plot using 2D data.
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