R GRAPHICS COOKBOOK PDF

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Media, Inc. R Graphics Cookbook, the image of a reindeer, and related trade dress are trademarks of O'Reilly . Outputting to PDF Vector Files. publisher's note In the months from September to the beginning of December , reportedly Helen scribed the section. O'Reilly Media, Inc. R Cookbook, the image of a harpy eagle, and related trade dress .. R is a powerful tool for statistics, graphics, and statistical programming. . PDF for free from CRAN; or, better yet, download the printed copy because the profits .


R Graphics Cookbook Pdf

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Winston Chang, R Graphics Cookbook: Practical Recipes for Visualizing Data from: kaz-news.info%20Graphics%kaz-news.info This O'Reilly cookbook provides more than recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs. R Graphics Cookbook. Winston R Basics. 1. Installing a Package. 1. Loading a Package. 2. Loading a . Outputting to PDF Vector Files.

Making Multiple Histograms from Grouped Data 6. Making a Density Curve 6.

Practical Recipes for Visualizing Data

Making a Frequency Polygon 6. Making a Basic Box Plot 6. Adding Notches to a Box Plot 6. Adding Means to a Box Plot 6. Making a Violin Plot 6.

Making a Dot Plot 6. Adding Text Annotations 7.

Using Mathematical Expressions in Annotations 7. Adding Lines 7. Adding Line Segments and Arrows 7. Adding a Shaded Rectangle 7. Highlighting an Item 7. Adding Error Bars 7. Adding Annotations to Individual Facets Axes 8.

Swapping X- and Y-Axes 8. Setting the Range of a Continuous Axis 8. Reversing a Continuous Axis 8. Changing the Order of Items on a Categorical Axis 8. Setting the Positions of Tick Marks 8.

Removing Tick Marks and Labels 8. Changing the Text of Tick Labels 8. Changing the Appearance of Tick Labels 8.

Changing the Text of Axis Labels 8. Removing Axis Labels 8.

Changing the Appearance of Axis Labels 8. Showing Lines Along the Axes 8. Using a Logarithmic Axis 8.

Hm Are You a Human?

Adding Ticks for a Logarithmic Axis 8. Making a Circular Plot 8. Using Dates on an Axis 8.

Setting the Title of a Graph 9. Changing the Appearance of Text 9.

Using Themes 9. Changing the Appearance of Theme Elements 9.

Creating Your Own Themes 9. Hiding Grid Lines Legends Removing the Legend Changing the Position of a Legend Changing the Order of Items in a Legend Reversing the Order of Items in a Legend Changing a Legend Title Changing the Appearance of a Legend Title Removing a Legend Title Changing the Labels in a Legend Changing the Appearance of Legend Labels Splitting Data into Subplots with Facets Using Facets with Different Axes Changing the Text of Facet Labels Setting the Colors of Objects Representing Variables with Colors Using a Colorblind-Friendly Palette Using a Different Palette for a Discrete Variable Making a Correlation Matrix Plotting a Function Shading a Subregion Under a Function Curve Creating a Network Graph Using Text Labels in a Network Graph Creating a Heat Map Creating a Three-Dimensional Scatter Plot Saving a Three-Dimensional Plot Animating a Three-Dimensional Plot Creating a Dendrogram Creating a Vector Field Creating a QQ Plot Creating a Mosaic Plot Creating a Pie Chart Creating a Map Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R.

R Graphics Cookbook

Why is your book timely? Interest in R for data analysis and visualization has exploded in recent years. In the computer-tech world, computers and networks have made it much easier to gather and organize data, and more and more people have recognized that there's useful information to be found. To illustrate, consider the job "data scientist": this is a job title that didn't even exist five years ago, and now it's one of the hottest tickets on the market.

At the same time, there's been a swell of interest in R in its more traditional setting, in science and engineering. I think there are many reasons for this. One, is that there's a growing recognition outside of the computer-programmer world that learning a little programming can save you a lot of time and reduce errors.

Practical Recipes for Visualizing Data

Another reason is that the last few years have seen an improvement in the user-friendliness of tools for using R. So there's a lot of interest in using R for finding information in data, and visualization an essential tool for doing this. Data visualizations can help you understand your data and find patterns when you're in the exploratory phase of data analysis, and they are essential for communicating your findings to others.Winston Chang is a graduate student at Northwestern University but is probably better known to R users as an active member of the ggplot2 mailing list and an active contributor to the ggplot2 source code.

Adjusting Bar Width and Spacing 3. Adding Lines 7.

Changing the Appearance of Theme Elements 9. The book has a typical cookbook format.

Renaming Columns in a Data Frame Dealing with Overplotting 84 5. Creating a Bar Graph 2.