R Cookbook in Food Science
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
7.4
PCA in Python
7.4.1
Load data
7.4.2
Data pre-treatment
7.4.3
PCA plots with raw data
7.4.4
PCA plots with SNV data
7.4.5
PCA plots with SG data
8
Classification
9
Naive Bayes model
10
Feature selection
11
Data visualization
11.1
line plot
11.2
Violin plot
11.3
Density chart
11.4
Scatter plot
12
Discussion
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Data Cookbook in Agriculture
Chapter 3
Descriptive statistics
3.1
Main content