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E-raamat: R Projects For Dummies

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 18-Jan-2018
  • Kirjastus: For Dummies
  • Keel: eng
  • ISBN-13: 9781119446163
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R Projects For DummiesSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 18-Jan-2018
  • Kirjastus: For Dummies
  • Keel: eng
  • ISBN-13: 9781119446163
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Each book covers all the necessary information a beginner needs to know about a particular topic, providing an index for easy reference and using the series' signature set of symbols to clue the reader in to key topics, categorized under such titles as Tip, Remember, Warning!, Technical Stuff and True Story. Original.

Make the most of R’s extensive toolset

R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities in an array of scenarios. The depth of the project experience is unmatched by any other content online or in print. And you just might increase your statistics knowledge along the way, too!

R is a free tool, and it’s the basis of a huge amount of work in data science. It's taking the place of costly statistical software that sometimes takes a long time to learn. One reason is that you can use just a few R commands to create sophisticated analyses. Another is that easy-to-learn R graphics enable you make the results of those analyses available to a wide audience.

This book will help you sharpen your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping, and more.

  • Appropriate for R users at all levels
  • Helps R programmers plan and complete their own projects
  • Focuses on R functions and packages
  • Shows how to carry out complex analyses by just entering a few commands

If you’re brand new to R or just want to brush up on your skills, R Projects For Dummies will help you complete your projects with ease.

Introduction 1(4)
About This Book
2(1)
Part 1: The Tools of the Trade
2(1)
Part 2: Interacting with a User
2(1)
Part 3: Machine Learning
2(1)
Part 4: Large(ish) Data Sets
2(1)
Part 5: Maps and Images
2(1)
Part 6: The Part of Tens
3(1)
What You Can Safely Skip
3(1)
Foolish Assumptions
3(1)
Icons Used in This Book
3(1)
Beyond the Book
4(1)
Where to Go from Here
4(1)
Part 1: The Tools Of The Trade 5(72)
Chapter 1 R: What It Does and How It Does It
7(24)
Getting R
7(1)
Getting RStudio
8(3)
A Session with R
11(4)
The working directory
11(1)
Getting started
12(3)
R Functions
15(1)
User-Defined Functions
16(2)
Comments
18(1)
R Structures
18(10)
Vectors
18(1)
Numerical vectors
19(2)
Matrices
21(3)
Lists
24(1)
Data frames
25(3)
Of for Loops and if Statements
28(3)
Chapter 2 Working with Packages
31(12)
Installing Packages
31(2)
Examining Data
33(2)
Heads and tails
33(1)
Missing data
33(1)
Subsets
34(1)
R Formulas
35(1)
More Packages
36(1)
Exploring the tidyverse
37(6)
Chapter 3 Getting Graphic
43(34)
Touching Base
43(14)
Histograms
44(1)
Density plots
45(2)
Bar plots
47(2)
Grouping the bars
49(2)
Quick Suggested Project
51(2)
Pie graphs
53(1)
Scatterplots
53(2)
Scatterplot matrix
55(1)
Box plots
56(1)
Graduating to ggplot2
57(22)
How it works
58(1)
Histograms
59(2)
Bar plots
61(1)
Grouped bar plots
62(2)
Grouping yet again
64(3)
Scatterplots
67(1)
The plot thickens
68(4)
Scatterplot matrix
72(1)
Box plots
73(4)
Part 2: Interacting With A User 77(66)
Chapter 4 Working with a Browser
79(28)
Getting Your Shine On
79(1)
Creating Your First shiny Project
80(9)
The user interface
83(1)
The server
84(1)
Final steps
85(1)
Getting reactive
86(3)
Working with ggplot
89(7)
Changing the server
90(2)
A few more changes
92(2)
Getting reactive with ggplot
94(2)
Another shiny Project
96(10)
The base R version
97(7)
The ggplot version
104(2)
Suggested Project
106(1)
Chapter 5 Dashboards-How Dashing!
107(36)
The shinydashboard Package
107(1)
Exploring Dashboard Layouts
108(18)
Getting started with the user interface
109(1)
Building the user interface: Boxes, boxes, boxes
110(7)
Lining up in columns
117(4)
A nice trick: Keeping tabs
121(4)
Suggested project: Add statistics
125(1)
Suggested project: Place valueBoxes in tabPanels
126(1)
Working with the Sidebar
126(9)
The user interface
128(3)
The server
131(2)
Suggested project: Relocate the slider
133(2)
Interacting with Graphics
135(10)
Clicks, double-clicks, and brushes-oh, my!
135(3)
Why bother with all this?
138(3)
Suggested project: Experiment with airquality
141(2)
Part 3: Machine Learning 143(110)
Chapter 6 Tools and Data for Machine Learning Projects
145(22)
The UCI (University of California-Irvine) ML Repository
146(11)
Downloading a UCI dataset
146(2)
Cleaning up the data
148(2)
Exploring the data
150(2)
Exploring relationships in the data
152(5)
Introducing the Rattle package
157(2)
Using Rattle with iris
159(8)
Getting and (further) exploring the data
159(3)
Finding clusters in the data
162(5)
Chapter 7 Decisions, Decisions, Decisions
167(18)
Decision Tree Components
167(2)
Roots and leaves
168(1)
Tree construction
168(1)
Decision Trees in R
169(4)
Growing the tree in R
169(2)
Drawing the tree in R
171(2)
Decision Trees in Rattle
173(4)
Creating the tree
174(1)
Drawing the tree
175(1)
Evaluating the tree
176(1)
Project: A More Complex Decision Tree
177(5)
The data: Car evaluation
177(2)
Data exploration
179(1)
Building and drawing the tree
180(1)
Evaluating the tree
181(1)
Quick suggested project: Understanding the complexity parameter
181(1)
Suggested Project: Titanic
182(3)
Chapter 8 Into the Forest, Randomly
185(16)
Growing a Random Forest
185(2)
Random Forests in R
187(7)
Building the forest
187(2)
Evaluating the forest
189(1)
A closer look
190(1)
Plotting error
191(2)
Plotting importance
193(1)
Project: Identifying Glass
194(6)
The data
194(1)
Getting the data into Rattle
195(1)
Exploring the data
196(2)
Growing the random forest
198(1)
Visualizing the results
198(2)
Suggested Project: Identifying Mushrooms
200(1)
Chapter 9 Support Your Local Vector
201(20)
Some Data to Work With
201(4)
Using a subset
202(1)
Defining a boundary
202(1)
Understanding support vectors
203(2)
Separability: It's Usually Nonlinear
205(2)
Support Vector Machines in R
207(7)
Working with e1071
207(5)
Working with kernlab
212(2)
Project: House Parties
214(6)
Reading in the data
216(1)
Exploring the data
217(1)
Creating the SVM
218(2)
Evaluating the SVM
220(1)
Suggested Project: Titanic Again
220(1)
Chapter 10 K-Means Clustering
221(16)
How It Works
221(2)
K-Means Clustering in R
223(8)
Setting up and analyzing the data
223(1)
Understanding the output
224(1)
Visualizing the clusters
225(1)
Finding the optimum number of clusters
226(3)
Quick suggested project: Adding the sepals
229(2)
Project: Glass Clusters
231(4)
The data
231(1)
Starting Rattle and exploring the data
232(1)
Preparing to cluster
233(1)
Doing the clustering
234(1)
Going beyond Rattle
234(1)
Suggested Project: A Few Quick Ones
235(2)
Visualizing data points and clusters
235(1)
The optimum number of clusters
236(1)
Adding variables
236(1)
Chapter 11 Neural Networks
237(16)
Networks in the Nervous System
237(1)
Artificial Neural Networks
238(3)
Overview
238(1)
Input layer and hidden layer
239(1)
Output layer
240(1)
How it all works
240(1)
Neural Networks in R
241(4)
Building a neural network for the iris data frame
241(2)
Plotting the network
243(1)
Evaluating the network
244(1)
Quick suggested project: Those sepals
245(1)
Project: Banknotes
245(6)
The data
245(1)
Taking a quick look ahead
246(1)
Setting up Rattle
247(2)
Evaluating the network
249(1)
Going beyond Rattle: Visualizing the network
249(2)
Suggested Projects: Rattling Around
251(2)
Part 4: Large(ish) Data Sets 253(38)
Chapter 12 Exploring Marketing
255(20)
Project: Analyzing Retail Data
255(10)
The data
256(1)
RFM in R
257(8)
Enter Machine Learning
265(7)
K-means clustering
265(2)
Working with Rattle
267(1)
Digging into the clusters
268(2)
The clusters and the classes
270(1)
Quick suggested project
271(1)
Suggested Project: Another Data Set
272(3)
Chapter 13 From the City That Never Sleeps
275(16)
Examining the Data Set
275(1)
Warming Up
276(7)
Glimpsing and viewing
276(1)
Piping, filtering, and grouping
277(2)
Visualizing
279(1)
Joining
280(3)
Quick Suggested Project: Airline names
283(1)
Project: Departure Delays
283(6)
Adding a variable: weekday
283(1)
Quick Suggested Project: Analyze weekday differences
284(1)
Delay, weekday, and airport
285(2)
Delay and flight duration
287(2)
Suggested Project: Delay and Weather
289(2)
Part 5: Maps And Images 291(28)
Chapter 14 All Over the Map
293(12)
Project: The Airports of Wisconsin
293(6)
Dispensing with the preliminaries
293(1)
Getting the state geographic data
294(1)
Getting the airport geographic data
295(3)
Plotting the airports on the state map
298(1)
Quick Suggested Project: Another source of airport geographic info
299(1)
Suggested Project 1: Map Your State
299(1)
Suggested Project 2: Map the Country
299(6)
Plotting the state capitals
301(1)
Plotting the airports
302(3)
Chapter 15 Fun with Pictures
305(14)
Polishing a Picture: It's magick!
305(8)
Reading the image
306(1)
Rotating, flipping, and flopping
307(1)
Annotating
308(1)
Combining transformations
309(1)
Quick suggested project: Three F's
309(1)
Combining images
310(1)
Animating
311(1)
Making your own morphs
312(1)
Project: Two Legends in Search of a Legend
313(3)
Getting Stan and Ollie
313(1)
Combining the boys with the background
314(1)
Explaining image_apply()
314(2)
Getting back to the animation
316(1)
Suggested Project: Combine an Animation with a Plot
316(3)
Part 6: The Part Of Tens 319(12)
Chapter 16 More Than Ten Packages for Your R Projects
321(6)
Machine Learning
321(1)
Databases
322(1)
Maps
322(2)
Image Processing
324(1)
Text Analysis
324(3)
Chapter 17 More than Ten Useful Resources
327(4)
Interacting with Users
327(1)
Machine Learning
328(1)
Databases
328(1)
Maps and Images
329(2)
Index 331
Joseph Schmuller, PhD, is a veteran of more than 25 years in Information Technology. He is the author of several books, including Statistical Analysis with R For Dummies and four editions of Statistical Analysis with Excel For Dummies. In addition, he has written numerous articles and created online coursework for Lynda.com.
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