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Classroom Contents
Prepping Data for Analysis Using R
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- 1 Intro
- 2 Workshop Outline
- 3 Workshop Agenda
- 4 Workshop Goals
- 5 Data Preparation
- 6 Faulty Sensor Situation
- 7 systematically missing variables
- 8 building missing variables
- 9 missing values
- 10 pragmatic solution
- 11 novel categorical levels
- 12 new data
- 13 Wyoming
- 14 Chemical categorical variables
- 15 Dealing with new levels
- 16 VTreat solution
- 17 Categorical variables
- 18 Compact coding
- 19 Indicator vs numerical variables
- 20 Treatment Plan
- 21 User Interface
- 22 Treatment Example
- 23 Linear Regression
- 24 Calibration
- 25 Interpretation
- 26 Operational Issues
- 27 Overfitting
- 28 Data fussing
- 29 John Mount
