R for Data Analysis by McGrath, Mike -- Read -- Imperial Library of Trantor

Index

Cover Title Copyright Contents Preface 1 Getting started

Understanding data Installing R Installing RStudio Exploring RStudio Setting preferences Creating an R Script Summary

2 Storing values

Storing a single value Adding comments Recognizing data types Storing multiple values Storing mixed data types Plotting stored values Controlling objects Getting help Summary

3 Performing operations

Doing arithmetic Making comparisons Assessing logic Operating on elements Comparing elements Recognizing precedence Manipulating elements Summary

4 Testing conditions

Seeking truth Branching alternatives Chaining branches Switching branches Looping while true Performing for loops Breaking from loops Summary

5 Employing functions

Doing mathematics Manipulating strings Producing sequences Generating random numbers Distributing patterns Extracting statistics Creating functions Providing defaults Summary

6 Building matrices

Building a matrix Transposing data Binding vectors Naming rows and columns Plotting matrices Adding labels Extracting matrix subsets Maintaining dimensions Summary

7 Constructing data frames

Constructing a data frame Importing data sets Examining data frames Addressing frame data Extracting frame subsets Changing frame columns Filtering data frames Merging data frames Adjusting factors Summary

8 Producing quick plots

Installing packages Scattering points Smoothing lines Portraying stature Depicting groups Adding labels Drawing columns Understanding histograms Producing histograms Understanding box plots Producing box plots Summary

9 Storytelling with data

Presenting data Considering aesthetics Using geometries Showing statistics Illustrating facets Controlling coordinates Designing themes Summary

10 Plotting perfection

Loading the data Retaining objects Overriding labels Adding a theme Restoring the Workspace Comparing boxes Identifying extremes Limiting focus Zooming focus Displaying facets Exporting graphics Presenting analyses Summary

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