Quarto Manuscript Template

Your Name

Abstract

This is a template for creating manuscripts with Quarto. Replace this abstract with your own summary of the work: the research question, methods, key findings, and conclusions. Aim for 150–250 words for most journals.

Introduction

This is a Quarto manuscript template. The manuscript is available in multiple formats:

HTML: An interactive web version with table of contents and linked cross-references
PDF: A print-ready document suitable for journal submission
DOCX: A Microsoft Word document for collaborators who prefer tracked changes
JATS XML: A structured format required by some journals and preprint servers

Cite references with @citationkey (Author 2024) or in parentheses (Author and Coauthor 2024).

Background

Add background and motivation here. Cross-reference sections with @sec-methods (renders as Section 2).

Methods

Describe your study design, data sources, and analysis approach here.

Data

You can include inline R code: the square root of 2 is 1.4142.

Analysis

Code chunks execute and embed results:

In [1]:

Table 1: Example summary statistics.

summary(mtcars[, c("mpg", "wt", "hp")])
#>       mpg              wt              hp       
#>  Min.   :10.40   Min.   :1.513   Min.   : 52.0  
#>  1st Qu.:15.43   1st Qu.:2.581   1st Qu.: 96.5  
#>  Median :19.20   Median :3.325   Median :123.0  
#>  Mean   :20.09   Mean   :3.217   Mean   :146.7  
#>  3rd Qu.:22.80   3rd Qu.:3.610   3rd Qu.:180.0  
#>  Max.   :33.90   Max.   :5.424   Max.   :335.0

Supplementary analyses live in a separate notebook (notebooks/supplementary-analysis.qmd) and are embedded in the HTML output automatically.

Results

Present your findings here. Reference figures with @fig-example (Figure 1) and tables with @tbl-summary (Table 1).

In [2]:

library(ggplot2)
ggplot(mtcars, aes(x = wt, y = mpg)) +
  geom_point() +
  labs(x = "Weight (1000 lbs)", y = "Fuel economy (mpg)") +
  theme_minimal()

Scatter plot showing a negative relationship between car weight (x-axis) and fuel economy in miles per gallon (y-axis). — Figure 1: Fuel economy vs. weight for 32 cars.

Discussion

Interpret your results, address limitations, and describe implications.

Conclusion

Summarize the key findings and their significance.

References

Author, Example. 2024. Example Book Title. Example Publisher. https://doi.org/10.1007/978-3-319-24277-4.

Author, Example, and Another Coauthor. 2024. “Example Article Title.” Example Journal 10 (1): 1–10. https://doi.org/10.1038/nature12373.

--- title: "Quarto Manuscript Template" author: - name: "Your Name" orcid: 0000-0000-0000-0000 email: your.email@example.com corresponding: true affiliations: - name: Your Institution department: Your Department city: Your City state: Your State country: Your Country abstract: | This is a template for creating manuscripts with Quarto. Replace this abstract with your own summary of the work: the research question, methods, key findings, and conclusions. Aim for 150--250 words for most journals. keywords: - template - quarto - manuscript --- # Introduction {#sec-intro} This is a Quarto manuscript template. The manuscript is available in multiple formats: - **HTML**: An interactive web version with table of contents and linked cross-references - **PDF**: A print-ready document suitable for journal submission - **DOCX**: A Microsoft Word document for collaborators who prefer tracked changes - **JATS XML**: A structured format required by some journals and preprint servers Cite references with `@citationkey` [@example2024] or in parentheses [@example-article2024]. ## Background Add background and motivation here. Cross-reference sections with `@sec-methods` (renders as @sec-methods). # Methods {#sec-methods} Describe your study design, data sources, and analysis approach here. ## Data You can include inline R code: the square root of 2 is `r round(sqrt(2), 4)`. ## Analysis Code chunks execute and embed results: ```{r} #| label: tbl-summary #| tbl-cap: "Example summary statistics." summary(mtcars[, c("mpg", "wt", "hp")]) ``` Supplementary analyses live in a separate notebook (`notebooks/supplementary-analysis.qmd`) and are embedded in the HTML output automatically. # Results {#sec-results} Present your findings here. Reference figures with `@fig-example` (@fig-example) and tables with `@tbl-summary` (@tbl-summary). ```{r} #| label: fig-example #| fig-cap: "Fuel economy vs. weight for 32 cars." #| fig-alt: "Scatter plot showing a negative relationship between car #| weight (x-axis) and fuel economy in miles per gallon (y-axis)." library(ggplot2) ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + labs(x = "Weight (1000 lbs)", y = "Fuel economy (mpg)") + theme_minimal() ``` # Discussion {#sec-discussion} Interpret your results, address limitations, and describe implications. # Conclusion {#sec-conclusion} Summarize the key findings and their significance. # References {.unnumbered} ::: {#refs} :::

Article Notebook