Data cookbook in Agriculture
1
Preface
1.1
Features
1.2
Topic covered
2
Sample collection and map
3
Descriptive statistics
3.1
Main content
4
Normality
4.1
Normal distribution
4.2
Defination of ANOVA
4.3
The examples of ANOVA using fruit dataset
5
Regression
6
Prediction
7
Principal component analysis
7.1
Load dataset
7.2
Data wrangling
7.3
Principal Component Analysis using R
7.3.1
Raw data PCA
7.3.2
Standard Normal Variate
7.3.3
Savitzky-Golay filtering
7.3.4
PCA plots comparations
8
Classification
9
Naive Bayes model
10
Feature selection
11
Discussion
Published with bookdown
R cookbook in food science
Chapter 9
Naive Bayes model