-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathindex.qmd
78 lines (66 loc) · 10.6 KB
/
index.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
---
title: "Music and Science: A Guide to Empirical Research"
format:
html:
code-fold: false
jupyter: python3
toc: false
---
<!--
conda activate relative_mode
quarto preview Chapter11.1.qmd
I am currently working towards finishing this file.
-->
<img src="images/music_and_science_cover_sm.png" align="right" />
This repository contains the electronic materials for _Routledge_ book titled **[Music and Science: A Guide to Empirical Research](https://tuomaseerola.github.io/emr/)** by [Tuomas Eerola](https://tuomaseerola.github.io/about/), at [Durham University](https://www.durham.ac.uk) and [Music and Science Lab](https://musicscience.net). The book was published in November 2024 (see [publisher page](https://www.routledge.com/Music-and-Science-A-Guide-to-Empirical-Music-Research/Eerola/p/book/9781032277066)).
The materials are [Quarto](https://quarto.org) notebooks with code examples in [R](https://www.r-project.org/) or [Python](https://www.python.org/). The notebooks can be used in four ways:
1. Explore the code and data directly in R or in Python in your local machine.
2. Use the **Jupyter** notebooks locally in a [server](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html).
3. Run the notebooks through [**Google Colab**](https://colab.research.google.com/) in a browser (it is free and does not require any additional software).
4. Study this **website** to learn how to replicate the computational and statistical aspects mentioned in the book.
See [technical notes](Technical.qmd) about the notebooks and [package versions](Version_R.qmd).
The public-facing version of this repository is at [https://tuomaseerola.github.io/emr/](https://tuomaseerola.github.io/emr/). See [citation](Citation.qmd) for the bibliographic details of the book.
`Ver: 25/4/2024 15:32`
# Contents
| Website (preferred link) | Jupyter | Colab | Language |
|:------------------------------------------------------|:---------|:------|:---------|
| **Chapter 1: Introduction** | | | |
| [Ch. 1 - Notebook basics](Chapter1.qmd) |[Chapter1.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter1.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter1.ipynb)| R |
| **Chapter 2: History** | | | |
| Ch. 2 Examples | | | |
| **Chapter 3: Contemporary Empirical Music Research** | | | |
| [Ch. 3 - Historic profiles](Chapter3.qmd) |[Chapter3.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter3.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter3.ipynb)| R |
| **Chapter 4: Methods and Research Designs** | | | |
| [Ch. 4 - Correlations](Chapter4.qmd) |[Chapter4.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter4.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter4.ipynb)| R |
| **Chapter 5: Sources of Information** | | | |
| **Chapter 6: Data Organisation and Summaries** | | | |
| [Ch. 6 - Using R](Chapter6.1.qmd) |[Chapter6.1.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter6.1.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter6.1.ipynb)| R |
| [Ch. 6 - Data organisation](Chapter6.2.qmd) |[Chapter6.2.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter6.2.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter6.2.ipynb)| R |
| [Ch. 6 - Diagnostics](Chapter6.3.qmd) |[Chapter6.3.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter6.3.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter6.3.ipynb)| R |
| [Ch. 6 - Outliers](Chapter6.4.qmd) |[Chapter6.4.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter6.4.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter6.4.ipynb)| R |
| **Chapter 7: Statistical Analysis** | | | |
| [Ch. 7 - Inferential statistics](Chapter7.qmd) |[Chapter7.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter7.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter7.ipynb)| R |
| **Chapter 8: Reporting** | | | |
| **Chapter 9: Analysis of Scores and Performances** | | | |
| [Ch. 9 - Music analysis](Chapter9.1.qmd) |[Chapter9.1.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter9.1.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter9.1.ipynb)| Python |
| [Ch. 9 - Event counts](Chapter9.2.qmd) |[Chapter9.2.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter9.2.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter9.2.ipynb)| Python |
| [Ch. 9 - Key-Finding](Chapter9.3.qmd) |[Chapter9.3.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter9.3.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter9.3.ipynb)| Python |
| [Ch. 9 - Expressive timing](Chapter9.4.qmd) |[Chapter9.4.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter9.4.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter9.4.ipynb)| R |
| [Ch. 9 - Synchronisation](Chapter9.5.qmd) |[Chapter9.5.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter9.5.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter9.5.ipynb)| R |
| **Chapter 10: Analysis of Audio** | | | |
| [Ch. 10 - Basics (sines)](Chapter10.1.qmd) |[Chapter10.1.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter10.1.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter10.1.ipynb)| Python |
| [Ch. 10 - Spectrum and envelope](Chapter10.2.qmd) |[Chapter10.2.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter10.2.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter10.2.ipynb)| Python |
| [Ch. 10 - Physical](Chapter10.3.qmd) |[Chapter10.3.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter10.3.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter10.3.ipynb)| Python |
| [Ch. 10 - Perceptual](Chapter10.4.qmd) |[Chapter10.4.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter10.4.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter10.4.ipynb)| Python |
| [Ch. 10 - Semantic](Chapter10.5.qmd) |[Chapter10.5.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter10.5.ipynb) |[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter10.5.ipynb)| Python |
| **Chapter 11: Corpus Studies** | | | |
| [Ch. 11 - Genre Classification](Chapter11.2.qmd) |[Chapter11.2.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter11.2.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter11.2.ipynb)| Python |
| [Ch. 11 - Synchrony](Chapter11.3.qmd)|[Chapter11.3.qmd](https://github.com/tuomaseerola/emr/blob/main/nb/Chapter11.3.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Chapter11.3.ipynb)| R |
| **Chapter 12: Summary and Future Directions** | | | |
| **Appendix** | | | |
| [Citation](Citation.qmd) ||| Markdown |
| [Technical](Technical.qmd) ||| Markdown |
| [Links](Links.qmd) ||| Markdown |
| [Playlists](Playlists.qmd) ||| Markdown |
| [Version (R)](Version_R.qmd) |[Version_R.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Version_R.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Version_R.ipynb)|R |
| [Version (Python)](Version_Python.qmd) |[Version_Python.ipynb](https://github.com/tuomaseerola/emr/blob/main/nb/Version_Python.ipynb)|[](https://colab.research.google.com/github/tuomaseerola/emr/blob/main/nb/Version_Python.ipynb)| Python |