- Welcome to Fundamentals of R
- Update Everything
- Start a New Project
-
Data Wrangling and Analysis
- The Tidyverse
- Pipes
- select()
- mutate()
- filter()
- summarize()
- group_by() and summarize()
- arrange()
- Create a New Data Frame
- Bring it All Together (Data Wrangling)
-
Data Visualization
- The Grammar of Graphics
- Scatterplots
- Histograms
- Bar Charts
- Setting color and fill Aesthetic Properties
- Setting color and fill Scales
- Setting x and y Scales
- Adding Text to Plots
- Plot Labels
- Themes
- Facets
- Save Plots
- Bring it All Together (Data Visualization)
-
Quarto
- Quarto Overview
- YAML
- Text
- Code Chunks
- Tips for Working with Quarto
- Bring It All Together (Quarto)
-
Wrapping Up
- An Important Workflow Tip
Fundamentals of R
Tips for Working with Quarto
This lesson is called Tips for Working with Quarto, part of the Fundamentals of R course. This lesson is called Tips for Working with Quarto, part of the Fundamentals of R course.
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Transcript
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Your Turn
Working in your
report.qmdfile, right below the YAML, add a code chunk that loads the tidyverse and imports your penguins data to an object calledpenguins.Add a first-level heading with the text Results.
Right below the Results heading, create a second code chunk and add some code that you used to make a graph in the data viz section of the course.
Render your document and make sure it works!
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Brian Slattery
October 4, 2023
For the third tip, I wasn't sure if there was a way to source R script documents in a Quarto document? I tried googling this and it looked like there was a source() function that lets R script files reference other R script files, but it seemed like there were some limitations too. I wasn't sure how Quarto documents differed from R script documents in that way. Thanks!
Gracielle Higino Coach
October 4, 2023
Hey, Brian! For this tip you don't need to source - copy+paste is enough! - but you can do that for sure! It's a great thing to learn. I'm not aware of the limitations of sourcing, it has always worked fine for me, but I know you need to write your R script in a way that is independent (i.e., it must be able to run alone or it has a very clear chain of execution with other scripts). For rendering Quarto documents, you should add
local = knitr::knit_global()as an argument of yoursource()function. For example, if I want to source an R script that creates an object that stores a plot calledp, I could add this to my code chunk:Quarto is a way to render Pandoc Markdown markup language, which means it is a way to control structure, format and relationships in a document. R scripts are a "roadmap" of functions to execute that will only result in more data or plots. When we add a code chunk in a *.qmd file, we are adding a relationship between an R script and other elements of the document.
I hope that's helpful!
Leo Gutknecht-Gmeiner
April 3, 2024
Leo Gutknecht-Gmeiner
April 3, 2024
Ad 2. I tried it: the RScript opens up next to the Quarto-file on the lefthand upper pane. So there is a possibility of switching between the two.
Libby Heeren Coach
April 3, 2024
Hey, Leo! You can also add another "source" pane so that you have them side by side. In RStudio, go to the "View" menu at the top and select Panes > Add Source Column.
Gracielle Higino Coach
April 3, 2024
Hi Leo! That's a good thing to do! I'd only recommend that you load your data somewhere else in your document if you have heavy things to run/load before you actually get to the point of using the data, but overall this doesn't really matter. By loading your data and packages upfront, you guarantee you have all that you need from "outside" of your code right in the beginning, and it gets easier to catch a problem right away.
Leo Gutknecht-Gmeiner
April 4, 2024
That's handy. Thanks for the tip:)
Leo Gutknecht-Gmeiner
April 4, 2024
Thanks Gracielle. But one does not put the loading of the data and the necessary packages into the YAML (that would be my intuitive way of doing things), but afterwards? Is this understanding correct?
Gracielle Higino Coach
April 4, 2024
Yes! Packages and data should go into a code chunk right after the YAML. The YAML is a special type of “code” where we put parameters related to the rendering of the document, not the analysis within it. [=
Leo Gutknecht-Gmeiner
April 4, 2024
Thanks, that's helpful