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R Data Visualization Cookbook

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R Data Visualization Cookbook

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R Data Visualization Cookbook
Jan, 2015 | 236 pages
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Table of Contents (17 chapters)
R Data Visualization Cookbook
R Data Visualization Cookbook
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
A Simple Guide to R
A Simple Guide to R
Installing packages and getting help in R
Data types in R
Special values in R
Matrices in R
Editing a matrix in R
Data frames in R
Editing a data frame in R
Importing data in R
Exporting data in R
Writing a function in R
Writing if else statements in R
Basic loops in R
Nested loops in R
The apply, lapply, sapply, and tapply functions
Using par to beautify a plot in R
Saving plots
2
Basic and Interactive Plots
Basic and Interactive Plots
Introduction
Introducing a scatter plot
Scatter plots with texts, labels, and lines
Connecting points in a scatter plot
Generating an interactive scatter plot
A simple bar plot
An interactive bar plot
A simple line plot
Line plot to tell an effective story
Generating an interactive Gantt/timeline chart in R
Merging histograms
Making an interactive bubble plot
Constructing a waterfall plot in R
3
Heat Maps and Dendrograms
Heat Maps and Dendrograms
Introduction
Constructing a simple dendrogram
Creating dendrograms with colors and labels
Creating a heat map
Generating a heat map with customized colors
Generating an integrated dendrogram and a heat map
Creating a three-dimensional heat map and a stereo map
Constructing a tree map in R
4
Maps
Maps
Introduction
Introducing regional maps
Introducing choropleth maps
A guide to contour maps
Constructing maps with bubbles
Integrating text with maps
Introducing shapefiles
Creating cartograms
5
The Pie Chart and Its Alternatives
The Pie Chart and Its Alternatives
Introduction
Generating a simple pie chart
Constructing pie charts with labels
Creating donut plots and interactive plots
Generating a slope chart
Constructing a fan plot
6
Adding the Third Dimension
Adding the Third Dimension
Introduction
Constructing a 3D scatter plot
Generating a 3D scatter plot with text
A simple 3D pie chart
A simple 3D histogram
Generating a 3D contour plot
Integrating a 3D contour and a surface plot
Animating a 3D surface plot
7
Data in Higher Dimensions
Data in Higher Dimensions
Introduction
Constructing a sunflower plot
Creating a hexbin plot
Generating interactive calendar maps
Creating Chernoff faces in R
Constructing a coxcomb plot in R
Constructing network plots
Constructing a radial plot
Generating a very basic pyramid plot
8
Visualizing Continuous Data
Visualizing Continuous Data
Introduction
Generating a candlestick plot
Generating interactive candlestick plots
Generating a decomposed time series
Plotting a regression line
Constructing a box and whiskers plot
Generating a violin plot
Generating a quantile-quantile plot (QQ plot)
Generating a density plot
Generating a simple correlation plot
9
Visualizing Text and XKCD-style Plots
Visualizing Text and XKCD-style Plots
Introduction
Generating a word cloud
Constructing a word cloud from a document
Generating a comparison cloud
Constructing a correlation plot and a phrase tree
Generating plots with custom fonts
Generating an XKCD-style plot
10
Creating Applications in R
Creating Applications in R
Introduction
Creating animated plots in R
Creating a presentation in R
A basic introduction to API and XML
Constructing a bar plot using XML in R
Creating a very simple shiny app in R
Index
Index

Basic loops in R

If we want to perform an action repeatedly in R, we can utilize the loop functionality.

How to do it…

The following lines of code multiply each element of x and y and store them as a vector z:

x = c(1:10)
y = c(1:10)
for(i in 1:10){
z[i] = x[i]*y[i]
}

How it works…

In the preceding code, a calculation is executed 10 times. R performs any calculation specified within {}. We are instructing R to multiply each element of x (using the x[i] notation) by each element in y and store the result in z.

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