Learn ggplot2 Using Shiny App. 1st ed. 2016

種類:

電子ブック

責任表示:

by Keon-Woong Moon

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2016

著者名:

• Moon, Keon-Woong.
• SpringerLink (Online service)

シリーズ名:

Use R! ;

ISBN:

9783319530192 [3319530194]    

注記:

1 Make a plot by click -- 2 Make a plot by ggplot2 -- 3 Show Data Distribution -- 4 Scatter Plots(I) -- 5 Scatter Plot(II) -- 6 Logistic regression -- 7 Labeling points in a scatter plot -- 8 Making a 2D density plot -- 9 Draw 2-dimensional contours -- 10 Ballloon Plot -- 11 Cleveland Dot Plot -- 12 Wilkinson dot plot -- 13 Bar plot(I) -- 14 Bar plot(II) -- 15 Labelling a bar plot(I) -- 16 Labelling a bar plot(II) -- 17 Line Graph -- 18 Multiplot with error bars -- 19 Boxplot -- 20 Violin plot -- 21 Area plot -- 22 Polar Plot -- 23 Annotations -- 24 Add a Table Annotation -- 25 Adding the Regression Results in Scatter Plot -- 26 Heatmap -- Horizontal Boxplot -- 29 Drawing a Map -- Interactive Plot.
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 becom

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