R in 3 Months Week 12 (Advanced Quarto)

Agenda

1. Housekeeping

2. Parameterized Reporting

3. Next Week

https://rin3fall2025.rfortherestofus.com/slides/slides-week-12.html

Housekeeping

1. Next week is the last live session, but you can get feedback through end of December

2. You’ll have access to course materials forever!

Parameterized Reporting

Make multiple reports at once

Why Parameterized Reporting?

1. Allows you to make multiple reports at once
2. Avoids copy paste issues if you were to make multiple reports by hand
3. It feels like magic!

Start by talking about reports at OCF

Parameterized Reports We Have Made

https://www.jhsph.edu/ivac/resources/pdpr/

https://publichealth.jhu.edu/ivac/monitoring-childhood-immunization-at-the-state-level

Show webpage on screen while presenting https://housingprofiles.pschousing.org/

How Does Parameterized Reporting Work?

Demonstration of Parameterized Reporting

Manually Create Multiple Reports

• Create new project
• Create Quarto document with manual filtering and manual text

Add Parameters to YAML

• Add parameters
• Filter dataset
• Inline R code

Render with R Script

• With just input argument
• Adding output_file and execute_params arguments

Render Multiple Reports with quarto_render()

• Show quarto_render() with one-row tibble
• Create reports tibble for all countries
• Render multiple reports with pwalk()

library(tidyverse)
library(palmerpenguins)
library(quarto)

quarto_render(
  input = "report.qmd",
  output_file = "Dream.html",
  execute_params = list(island = "Dream")
)

islands <-
  penguins |>
  distinct(island) |>
  pull(island) |>
  as.character()

reports <-
  tibble(
    input = "report.qmd",
    output_file = str_glue("{islands}.html"),
    execute_params = map(islands, ~ list(island = .))
  )

pwalk(reports, quarto_render)

Next Week

• Surveys on your progress and on feedback for R in 3 Months

• Please complete final projects even if you haven’t completed every single lesson

• Add info about your final project on this Google Slides presentation

Examples from past cohort: https://docs.google.com/presentation/d/1crH3G9yiksU_INYET-UGhIofWMwQQtkJJAjvEwLzyxE/edit?usp=sharing

Next Week

• Next week we’ll talk about your progress (including showing some final projects) and discuss where you go after R in 3 Months to continue learning R