Contents
Introduction
Section 1: Auditing
What's Covered?
Planning Your Auditing Strategy
Getting Into the Right Mindset
Recording Your Findings
Automated Tooling
PHP Insights
Enlightn
Larastan
Style CI
Code Coverage
Manual Auditing
Investigating "raw" Database Queries
Finding Incorrect Authorisation
Checking Validation
Finding "Fake Facades"
Finding Business Logic in Helpers
Finding N+1 Queries
Finding Controllers That Use Other Controllers
Finding Logic and Queries in Blade Views
Finding Hard-Coded Credentials
Check Open Package Routes
Reviewing Project Documentation
Section 2: Testing
What's Covered?
Planning Your Testing Strategy
The Benefits of Writing Tests
Spotting Bugs Early
Making Future Work and Refactoring Easier
Changing the Way You Approach Writing Code
Tests-As-Documentation
Prove That Bugs Exist
Structuring Your Tests
Directory Structure
Choosing What To Test
Test Structure
Data Providers
Writing the Tests
Prioritising Mission-Critical Tests First
Writing the Rest of the Tests
Benefits of Writing the Easy Tests First
Preventing Test Fatigue
Testing Your UI with Laravel Dusk
Installation
Testing a Simple Form
Dusk Pages and Selectors
Running Failed Tests and Groups
Creating a CI Workflow Using GitHub Actions
Using an .env.ci File
Running the Test Suite
Larastan
Laravel Dusk
Output
Section 3: Fixing
What's Covered?
Planning Your Fixing Strategy
Using an Error Reporting System
Types of Errors
The Benefits of an Automated Error Reporting System
Error Reporting Using Flare
Uptime Checking, Queue Monitoring, and Scheduler Monitoring
Uptime Monitoring with Oh Dear
Scheduler Monitoring with Oh Dear
Queue Monitoring with Oh Dear
Updating PHP, Laravel, and Packages
Upgrading in Small Increments
Automating the Upgrade Using Laravel Shift
Planning Upgrades Early
Using a Suitable Local Development Environment
Using Tests to Fix Bugs
What is Test-Driven Development?
The Advantages of Test-Driven Development
The Disadvantages of Test-Driven Development
Fixing a Real Bug Using Test-Driven Development
Safely Removing Dead Code
Checking the Version Control History
Scream Test
Logging or Reporting the Usage
Removing the Code with an Atomic Commit
Section 4: Improving
What's Covered?
Planning Your Improvement Strategy
Making the Most of PHP's Type System
Using Type Hints and Return Types
Union Types
Type Hints and Return Types in Closures
DRYing Up Your Code
Advantages of DRYing Up Your Code
When to DRY Up Your Code
Refactoring Conditions
Reducing Indented Code
Replacing if and elseif with match
Using the Nullsafe Operator
Using Database Transactions
Adding the Database Transactions
Manually Using Database Transactions
Tips for Interacting with Third-Party Services
Using Automatic or Manual Transactions
Dispatching Queued Jobs inside Database Transactions
Improving the Testability of Your Code
Using Objects Over Arrays
Final Words
Discount Codes
Flare
Oh Dear
StyleCI
Laravel Security In Depth
R is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of core statistical and research ideas.
One of the powerful characteristics of R is that it is open-source, which means that anyone can access the underlying code used to run the program and add their own code for free. It will always be able to perform the latest statistical analyses as soon as anyone thinks of them. R corrects mistakes quickly and transparently and has put together a community of programming and statistical experts that you can turn to for help.
Mastering R: A Beginner’s Guide not only explains how to program but also how to use R for visualization and modeling. The fundamental principles of R explained here are helpful to beginner and intermediate users interested in learning this highly technological and diverse language.