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1 | | - |
2 | | - |
3 | 1 | # mastersthesis |
4 | 2 |
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5 | 3 | <!-- quarto render --profile gfm --> |
6 | 4 |
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7 | 5 | <!-- badges: start --> |
8 | | - |
9 | 6 | [](https://www.repostatus.org/#active) |
@@ -45,30 +42,31 @@ It’s important to note that some restrictions apply to the availability |
45 | 42 | of the main research data, which contain personal and sensitive |
46 | 43 | information. As a result, this data cannot be publicly shared. To run |
47 | 44 | the analyses, users must have an internet connection and request a set |
48 | | -of access keys from the author (see the keys section below). |
| 45 | +of access keys from the author (see *Keys* section). |
| 46 | + |
| 47 | +If you don’t feel comfortable with R, I strongly recommend checking |
| 48 | +Hadley Wickham and Garrett Grolemund’s free and online book [R for Data |
| 49 | +Science](https://r4ds.hadley.nz/) and the Coursera course from John |
| 50 | +Hopkins University [Data Science: Foundations using |
| 51 | +R](https://www.coursera.org/specializations/data-science-foundations-r). |
49 | 52 |
|
50 | 53 | To reproduce the analyses do the following steps: |
51 | 54 |
|
52 | 55 | 1. Make sure that you have the latest R version and the following R |
53 | 56 | packages installed in your machine: |
54 | | - `install.packages(c("cli", "here", "magrittr", "renv", "stats", "stringr"))`. |
| 57 | + `install.packages(c("cli", "here" ,"magrittr", "ragg", "renv", "stats", "stringr"))`. |
55 | 58 | 2. Clone this repository. |
56 | 59 | 3. Open the R project (`mastersthesis.Rproj`). |
57 | 60 | 4. Run |
58 | 61 | [`renv::restore()`](https://rstudio.github.io/renv//reference/restore.html) |
59 | 62 | to install all software dependencies. |
60 | 63 | 5. Set all the keys provided by the author in the `.Renviron` file and |
61 | 64 | the `_ssh` folder. |
62 | | -6. Run `targets::tar_make()` to create and get every point of the data |
63 | | - wrangling process (from the raw_data to the cleaned and weighted |
| 65 | +6. Run `targets::tar_make()` to create every point of the data |
| 66 | + wrangling process (from the raw data to the cleaned and weighted |
64 | 67 | data). |
65 | | -7. Open and run any analysis present in the computational notebooks. |
66 | | - |
67 | | -If you don’t feel comfortable with R, I strongly recommend checking |
68 | | -Hadley Wickham and Garrett Grolemund’s free and online book [R for Data |
69 | | -Science](https://r4ds.hadley.nz/) and the Coursera course from John |
70 | | -Hopkins University [Data Science: Foundations using |
71 | | -R](https://www.coursera.org/specializations/data-science-foundations-r). |
| 68 | +7. Run any analysis present in the computational notebooks (`qmd` |
| 69 | + directory). |
72 | 70 |
|
73 | 71 | ## Keys |
74 | 72 |
|
@@ -114,28 +112,29 @@ available due to privacy and ethical considerations. |
114 | 112 |
|
115 | 113 | To cite this work, please use the following format: |
116 | 114 |
|
117 | | -Vartanian, D. (2024). *Is latitude associated with chronotype?* |
118 | | -\[Master’s thesis, University of São Paulo\]. |
| 115 | +Vartanian, D. (2025). *Is latitude associated with chronotype?* |
| 116 | +\[Master’s Thesis, University of São Paulo\]. |
119 | 117 | <https://doi.org/10.17605/OSF.IO/YGKTS> |
120 | 118 |
|
121 | 119 | A BibTeX entry for LaTeX users is: |
122 | 120 |
|
123 | | - @mastersthesis{vartanian2024, |
| 121 | + @mastersthesis{vartanian2025, |
124 | 122 | title = {Is latitude associated with chronotype?}, |
125 | 123 | author = {Daniel Vartanian}, |
126 | 124 | year = {2025}, |
127 | 125 | address = {São Paulo}, |
128 | 126 | school = {University of São Paulo}, |
129 | 127 | langid = {en}, |
130 | 128 | url = {https://doi.org/10.17605/OSF.IO/YGKTS}, |
131 | | - note = {Original version} |
| 129 | + note = {Corrected version} |
132 | 130 | } |
133 | 131 |
|
134 | 132 | ## Acknowledgments |
135 | 133 |
|
136 | 134 | The thesis was developed in the Graduate Program in Modeling Complex |
137 | | -Systems ([PPG-SCX](https://sites.usp.br/scx/en/apresentacao/)) at the |
138 | | -University of São Paulo ([USP](https://www5.usp.br/)), under the |
| 135 | +Systems |
| 136 | +([PPG-SCX](https://www.prpg.usp.br/pt-br/faca-pos-na-usp/programas-de-pos-graduacao/621-modelagem-de-sistemas-complexos)) |
| 137 | +at the University of São Paulo ([USP](https://www5.usp.br/)), under the |
139 | 138 | supervision of [Prof. Dr. Camilo Rodrigues |
140 | 139 | Neto](https://orcid.org/0000-0001-6783-6695). |
141 | 140 |
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