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R for Data Science Cookbook
Table of Contents
R for Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
eBooks, discount offers, and more
Why subscribe?
Preface
What this book covers
What you need for this book
Who this book is for
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Functions in R
Introduction
Creating R functions
Getting ready
How to do it...
How it works...
There's more...
Matching arguments
Getting ready
How to do it...
How it works...
There's more...
Understanding environments
Getting ready
How to do it...
How it works...
There's more...
Working with lexical scoping
Getting ready
How to do it...
How it works...
There's more...
Understanding closure
Getting ready
How to do it...
How it works...
There's more...
Performing lazy evaluation
Getting ready
How to do it...
How it works...
There's more...
Creating infix operators
Getting ready
How to do it...
How it works...
There's more...
Using the replacement function
Getting ready
How to do it...
How it works...
There's more...
Handling errors in a function
Getting ready
How to do it...
How it works...
There's more...
The debugging function
Getting ready
How to do it...
How it works...
There's more...
2. Data Extracting, Transforming, and Loading
Introduction
Downloading open data
Getting ready
How to do it…
How it works…
There's more…
Reading and writing CSV files
Getting ready
How to do it…
How it works…
There's more…
Scanning text files
Getting ready
How to do it…
How it works…
There's more…
Working with Excel files
Getting ready
How to do it…
How it works…
Reading data from databases
Getting ready
How to do it…
How it works…
There's more…
Scraping web data
Getting ready
How to do it…
How it works…
There's more…
Accessing Facebook data
Getting ready
How to do it…
How it works…
There's more…
Working with twitteR
Getting ready
How to do it…
How it works…
There's more…
3. Data Preprocessing and Preparation
Introduction
Renaming the data variable
Getting ready
How to do it…
How it works…
There's more…
Converting data types
Getting ready
How to do it…
How it works…
There's more…
Working with the date format
Getting ready
How to do it…
How it works…
There's more…
Adding new records
Getting ready
How to do it…
How it works…
There's more…
Filtering data
Getting ready
How to do it…
How it works…
There's more…
Dropping data
Getting ready
How to do it…
How it works…
There's more…
Merging data
Getting ready
How to do it…
How it works…
There's more…
Sorting data
Getting ready
How to do it…
How it works…
There's more…
Reshaping data
Getting ready
How to do it…
How it works…
There's more…
Detecting missing data
Getting ready
How to do it…
How it works…
There's more…
Imputing missing data
Getting ready
How to do it…
How it works…
There's more…
4. Data Manipulation
Introduction
Enhancing a data.frame with a data.table
Getting ready
How to do it…
How it works…
There's more…
Managing data with a data.table
Getting ready
How to do it…
How it works…
There's more…
Performing fast aggregation with a data.table
Getting ready
How to do it…
How it works…
There's more…
Merging large datasets with a data.table
Getting ready
How to do it…
How it works…
There's more…
Subsetting and slicing data with dplyr
Getting ready
How to do it…
How it works…
There's more…
Sampling data with dplyr
Getting ready
How to do it…
How it works…
There's more…
Selecting columns with dplyr
Getting ready
How to do it…
How it works…
There's more…
Chaining operations in dplyr
Getting ready
How to do it…
How it works…
There's more…
Arranging rows with dplyr
Getting ready
How to do it…
How it works…
There's more…
Eliminating duplicated rows with dplyr
Getting ready
How to do it…
How it works…
There's more…
Adding new columns with dplyr
Getting ready
How to do it…
How it works…
There's more…
Summarizing data with dplyr
Getting ready
How to do it…
How it works…
There's more…
Merging data with dplyr
Getting ready
How to do it…
How it works…
There's more…
5. Visualizing Data with ggplot2
Introduction
Creating basic plots with ggplot2
Getting ready
How to do it…
How it works…
There's more…
Changing aesthetics mapping
Getting ready
How to do it…
How it works…
There's more…
Introducing geometric objects
Getting ready
How to do it…
How it works…
There's more…
Performing transformations
Getting ready
How to do it…
How it works…
There's more…
Adjusting scales
Getting ready
How to do it…
How it works…
See also
Faceting
Getting ready
How to do it…
How it works…
There's more…
Adjusting themes
Getting ready
How to do it…
How it works…
There's more…
Combining plots
Getting ready
How to do it…
How it works…
There's more…
Creating maps
Getting ready
How to do it…
How it works…
There's more…
6. Making Interactive Reports
Introduction
Creating R Markdown reports
Getting ready
How to do it…
How it works…
There's more…
Learning the markdown syntax
Getting ready
How to do it…
How it works…
There's more…
Embedding R code chunks
Getting ready
How to do it…
How it works…
There's more…
Creating interactive graphics with ggvis
Getting ready
How to do it…
How it works…
There's more…
Understanding basic syntax and grammar
Getting ready
How to do it…
How it works…
There's more…
Controlling axes and legends
Getting ready
How to do it…
How it works…
There's more…
Using scales
Getting ready
How to do it …
How it works…
There's more …
Adding interactivity to a ggvis plot
Getting ready
How to do it…
How it works…
There's more…
Creating an R Shiny document
Getting ready
How to do it…
How it works…
There's more…
Publishing an R Shiny report
Getting ready
How to do it…
How it works…
There's more…
7. Simulation from Probability Distributions
Introduction
Generating random samples
Getting ready
How to do it…
How it works…
There's more…
Understanding uniform distributions
Getting ready
How to do it…
How it works…
Generating binomial random variates
Getting ready
How to do it…
How it works…
There's more…
Generating Poisson random variates
Getting ready
How to do it…
How it works…
There's more…
Sampling from a normal distribution
Getting ready
How to do it…
How it works…
There's more…
Sampling from a chi-squared distribution
Getting ready
How to do it…
How it works…
There's more…
Understanding Student's t-distribution
Getting ready
How to do it…
How it works…
There's more…
Sampling from a dataset
Getting ready
How to do it…
How it works…
There's more…
Simulating the stochastic process
Getting ready
How to do it…
How it works…
There's more…
8. Statistical Inference in R
Introduction
Getting confidence intervals
Getting ready
How to do it…
How it works…
There's more…
Performing Z-tests
Getting ready
How to do it…
How it works…
There's more…
Performing student's T-tests
Getting ready
How to do it…
How it works…
There's more…
Conducting exact binomial tests
Getting ready
How to do it…
How it works…
There's more…
Performing Kolmogorov-Smirnov tests
Getting ready
How to do it…
How it works…
There's more…
Working with the Pearson's chi-squared tests
Getting ready
How to do it…
How it works…
There's more…
Understanding the Wilcoxon Rank Sum and Signed Rank tests
Getting ready
How to do it…
How it works…
There's more…
Conducting one-way ANOVA
Getting ready
How to do it…
How it works…
There's more…
Performing two-way ANOVA
Getting ready
How to do it…
How it works…
There's more…
9. Rule and Pattern Mining with R
Introduction
Transforming data into transactions
Getting ready
How to do it…
How it works…
There's more…
Displaying transactions and associations
Getting ready
How to do it…
How it works…
There's more…
Mining associations with the Apriori rule
Getting ready
How to do it…
How it works…
There's more…
Pruning redundant rules
Getting ready
How to do it…
How it works…
There's more…
Visualizing association rules
Getting ready
How to do it…
How it works…
See also
Mining frequent itemsets with Eclat
Getting ready
How to do it…
How it works…
There's more…
Creating transactions with temporal information
Getting ready
How to do it…
How it works…
There's more…
Mining frequent sequential patterns with cSPADE
Getting ready
How to do it…
How it works…
See also
10. Time Series Mining with R
Introduction
Creating time series data
Getting ready
How to do it…
How it works…
There's more…
Plotting a time series object
Getting ready
How to do it…
How it works…
There's more…
Decomposing time series
Getting ready
How to do it…
How it works…
There's more…
Smoothing time series
Getting ready
How to do it…
How it works…
There's more…
Forecasting time series
Getting ready
How to do it…
How it works…
There's more…
Selecting an ARIMA model
Getting ready
How to do it…
How it works…
There's more…
Creating an ARIMA model
Getting ready
How to do it…
How it works…
There's more…
Forecasting with an ARIMA model
Getting ready
How to do it…
How it works…
There's more…
Predicting stock prices with an ARIMA model
Getting ready
How to do it…
How it works…
There's more…
11. Supervised Machine Learning
Introduction
Fitting a linear regression model with lm
Getting ready
How to do it…
How it works…
There's more…
Summarizing linear model fits
Getting ready
How to do it…
How it works…
There's more…
Using linear regression to predict unknown values
Getting ready
How to do it…
How it works…
There's more…
Measuring the performance of the regression model
Getting ready
How to do it…
How it works…
There's more…
Performing a multiple regression analysis
Getting ready
How to do it…
How it works…
There's more…
Selecting the best-fitted regression model with stepwise regression
Getting ready
How to do it…
How it works…
There's more…
Applying the Gaussian model for generalized linear regression
Getting ready
How to do it…
How it works…
See also
Performing a logistic regression analysis
Getting ready
How to do it…
How it works…
See also
Building a classification model with recursive partitioning trees
Getting ready
How to do it…
How it works…
See also
Visualizing a recursive partitioning tree
Getting ready
How to do it…
How it works…
See also
Measuring model performance with a confusion matrix
Getting ready
How to do it…
How it works…
Measuring prediction performance using ROCR
Getting ready
How to do it…
How it works…
See also…
12. Unsupervised Machine Learning
Introduction
Clustering data with hierarchical clustering
Getting ready
How to do it…
How it works…
There's more…
Cutting tree into clusters
Getting ready
How to do it…
How it works…
There's more…
Clustering data with the k-means method
Getting ready
How to do it…
How it works…
There's more…
Clustering data with the density-based method
Getting ready
How to do it…
How it works…
See also
Extracting silhouette information from clustering
Getting ready
How to do it…
How it works…
See also
Comparing clustering methods
Getting ready
How to do it…
How it works…
There's more…
Recognizing digits using the density-based clustering method
Getting ready
How to do it…
How it works…
See also
Grouping similar text documents with k-means clustering methods
Getting ready
How to do it…
How it works…
See also
Performing dimension reduction with Principal Component Analysis (PCA)
Getting ready
How to do it…
How it works…
There's more…
Determining the number of principal components using a scree plot
Getting ready
How to do it…
How it works…
There's more…
Determining the number of principal components using the Kaiser method
Getting ready
How to do it…
How it works…
See also
Visualizing multivariate data using a biplot
Getting ready
How to do it…
How it works…
See also
Index
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