Code Clinic: R

Introduction

• Welcome
• Getting the most from Code Clinic

1. Problem One: Weather Statistics

• Introduction: The weather at Lake Pend Oreille
• Overview of linear models solution
• Importing data from GitHub
• Calculating the coefficient of barometric pressure
• Plotting the pressure and fit line

2. Problem Two: Where Am I?

• Introduction: Where am I?
• Overview of geolocation solution
• Retrieving my latitude and longitude
• Mapping my location

3. Problem Three: Eight Queens

• Introduction: Eight queens
• Overview of eight queens solution
• Modeling the problem to exclude columns
• Setting up to exclude rows
• Filtering for diagonal conflicts
• Efficiently storing the results
• Plotting the result

4. Problem Four: Musical Instrument

• Introduction: Accessing peripherals
• Overview of accessing peripherals solution
• Use Tcl/Tk and sonify( ) for a theremin

5. Problem Five: Facial Recognition

• Introduction: Facial recognition
• Overview of facial recognition solution
• Sending an image to Microsoft Cognitive Services Face API
• Rendering the image with face boxes
• Saving the results in JSON

6. Problem Six: Real-Time Information Dashboard

• Introduction: Real-time information dashboard
• Overview of dashboard solution
• Using Shiny Server to serve data values
• Using an R package for data and functions
• Using the Shiny client to render data