R Statistics Cookbook电子书

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Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

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Conventions used

Sections

Getting ready

How to do it…

How it works…

There's more…

See also

Get in touch

Reviews

Getting Started with R and Statistics

Introduction

Technical requirements

Maximum likelihood estimation

Getting ready

How to do it...

How it works...

There's more...

See also

Calculating densities, quantiles, and CDFs

Getting ready

How to do it...

How it works...

There's more...

Creating barplots using ggplot

Getting ready

How to do it...

How it works...

There's more...

See also

Generating random numbers from multiple distributions

Getting ready

How to do it...

How it works...

There's more...

Complex data processing with dplyr

Getting ready

How to do it...

How it works...

There's more...

See also

3D visualization with the plot3d package

Getting ready

How to do it...

How it works...

Formatting tabular data with the formattable package

Getting ready

How to do it...

How it works...

There's more...

Simple random sampling

Getting ready

How to do it...

How it works...

Creating diagrams via the DiagrammeR package

Getting ready

How to do it...

How it works...

See also

C++ in R via the Rcpp package

Getting ready

How to do it...

How it works...

See also

Interactive plots with the ggplot GUI package

Getting ready

How to do it...

How it works...

There's more...

Animations with the gganimate package

Getting ready

How to do it...

How it works...

See also

Using R6 classes

Getting ready

How to do it...

How it works...

There's more...

Modeling sequences with the TraMineR package

Getting ready

How to do it...

How it works...

There's more...

Clustering sequences with the TraMineR package

Getting ready

How to do it...

How it works...

There's more...

Displaying geographical data with the leaflet package

Getting ready

How to do it...

How it works...

Univariate and Multivariate Tests for Equality of Means

Introduction

The univariate t-test

Getting ready

How to do it...

How it works...

There's more...

The Fisher-Behrens problem

How to do it...

How it works...

There's more...

Paired t-test

How to do it...

How it works...

There's more...

Calculating ANOVA sum of squares and F tests

How to do it...

Two-way ANOVA

How to do it...

How it works...

There's more...

Type I, Type II, and Type III sum of squares

Type I

Type II

Type III

Getting ready

How to do it...

How it works...

Random effects

Getting ready

How to do it...

How it works...

There's more...

Repeated measures

Getting ready

How to do it...

How it works...

There's more...

Multivariate t-test

Getting ready...

How to do it...

How it works...

There's more...

MANOVA

Getting ready

How to do it...

How it works...

There's more...

Linear Regression

Introduction

Computing ordinary least squares estimates

How to do it...

How it works...

Reporting results with the sjPlot package

Getting ready

How to do it...

How it works...

There's more...

Finding correlation between the features

Getting ready...

How to do it...

Testing hypothesis

Getting ready

How to do it...

How it works...

Testing homoscedasticity

Getting ready

How to do it...

How it works...

Implementing sandwich estimators

Getting ready

How to do it...

How it works...

Variable selection

Getting ready

How to do it...

How it works...

Ridge regression

Getting ready

How to do it...

How it works...

Working with LASSO

Getting ready

How to do it...

How it works...

There's more...

Leverage, residuals, and influence

Getting ready

How to do it...

How it works...

Bayesian Regression

Introduction

Getting the posterior density in STAN

Getting ready

How to do it...

How it works...

Formulating a linear regression model

Getting ready

How to do it...

How it works...

There's more...

Assigning the priors

Defining the support

How to decide the parameters for a prior

Getting ready

How to do it...

How it works...

Doing MCMC the manual way

Getting ready

How to do it...

How it works...

Evaluating convergence with CODA

One or multiple chains?

Getting ready

How to do it...

How it works...

There's more...

Bayesian variable selection

Getting ready

How to do it...

How it works...

There's more...

See also

Using a model for prediction

Getting ready

How to do it...

How it works...

GLMs in JAGS

Getting ready

How to do it...

How it works...

Nonparametric Methods

Introduction

The Mann-Whitney test

How to do it...

How it works...

There's more...

Estimating nonparametric ANOVA

Getting ready

How to do it...

How it works...

The Spearman's rank correlation test

How to do it...

How it works...

There's more...

LOESS regression

Getting ready

How to do it...

How it works...

There's more...

Finding the best transformations via the acepack package

Getting ready

How to do it...

How it works...

There is more...

Nonparametric multivariate tests using the npmv package

Getting ready

How to do it...

How it works...

Semiparametric regression with the SemiPar package

Getting ready

How to do it...

How it works...

There's more...

Robust Methods

Introduction

Robust linear regression

Getting ready

How to do it...

How it works...

Estimating robust covariance matrices

Getting ready

How to do it...

How it works...

Robust logistic regression

Getting ready

How to do it...

How it works...

Robust ANOVA using the robust package

Getting ready

How to do it...

How it works...

Robust principal components

Getting ready

How to do it...

How it works...

Robust Gaussian mixture models with the qclust package

Getting ready

How to do it...

How it works...

Robust clustering

Getting ready

How to do it...

How it works...

Time Series Analysis

Introduction

The general ARIMA model

Getting ready

How to do it...

How it works...

Seasonality and SARIMAX models

Getting ready

How to do it...

There's more...

Choosing the best model with the forecast package

Getting ready

How to do it...

How it works...

Vector autoregressions (VARs)

Getting ready

How to do it...

How it works...

Facebook's automatic Prophet forecasting

Getting ready

How to do it...

How it works...

There's more...

Modeling count temporal data

Getting ready

How to do it...

There's more...

Imputing missing values in time series

Getting ready

How to do it...

How it works...

There's more...

Anomaly detection

Getting ready

How to do it...

How it works...

There's more...

Spectral decomposition of time series

Getting ready

How to do it...

How it works...

Mixed Effects Models

Introduction

The standard model and ANOVA

Getting ready

How to do it...

How it works...

Some useful plots for mixed effects models

Getting ready

How to do it...

There's more...

Nonlinear mixed effects models

Getting ready

How to do it...

How it works...

There's more...

Crossed and nested designs

Crossed design

Nested design

Getting ready

How to do it...

How it works..

Robust mixed effects models with robustlmm

Getting ready

How to do it...

How it works...

Choosing the best linear mixed model

Getting ready

How to do it...

How it works...

Mixed generalized linear models

Getting ready

How to do it...

How it works...

There's more...

Predictive Models Using the Caret Package

Introduction

Data splitting and general model fitting

Getting ready

How to do it...

How it works...

There's more...

See also

Preprocessing

Getting ready

How to do it...

How it works...

Variable importance and feature selection

Getting ready

How to do it...

How it works...

Model tuning

Getting ready

How to do it...

How it works...

Classification in caret and ROC curves

Getting ready

How to do it...

How it works...

Gradient boosting and class imbalance

Getting ready

How to do it...

How it works...

Lasso, ridge, and elasticnet in caret

Getting ready

How to do it...

How it works...

Logic regression

Getting ready

How to do it...

How it works...

Bayesian Networks and Hidden Markov Models

Introduction

A discrete Bayesian network via bnlearn

Getting ready

How to do it...

How it works...

There's more...

See also

Conditional independence tests

Getting ready

How to do it...

How it works...

There's more...

Continuous and hybrid Bayesian networks via bnlearn

Getting ready

How to do it...

How it works...

See also

Interactive visualization of BNs with the bnviewer package

Getting ready

How to do it...

How it works...

An introductory hidden Markov model

Getting ready

How to do it...

How it works...

There's more...

Regime switching in financial data via HMM

Getting ready

How to do it...

How it works...

There's more...

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