Examples

Basic R examples

Since I use R most often, here are some examples using the default styles with R output. See these pages for more specific examples in other languages:

Enabling the filter

Include this in your YAML front matter after installing the extension:

---
...
filters:
  - output-styling
...
---

Control the styling with output-styling: appearance. You can use default, minimal, or custom.

---
...
filters:
  - output-styling
output-styling:
  appearance: default
...
---

Before using the filter and extra CSS

# Regular output
1 + 1
[1] 2
# Errors
1 + a
Error: object 'a' not found
# Warnings
warning("Be careful!")
Warning: Be careful!
# Messages
message("Here's a message")
Here's a message

After using the filter and extra CSS

# Regular output
1 + 1
[1] 2
# Errors
1 + a
Error: object 'a' not found
# Warnings
warning("Be careful!")
Warning: Be careful!
# Messages
message("Here's a message")
Here's a message

Practical R example

Here’s a less contrived example with actual R code.

library(ggplot2)
library(dplyr)

Here’s a message:

penguins |> 
  group_by(island, sex) |> 
  summarize(avg_weight = mean(body_mass))
`summarise()` has grouped output by 'island'. You can override using the
`.groups` argument.
# A tibble: 9 × 3
# Groups:   island [3]
  island    sex    avg_weight
  <fct>     <fct>       <dbl>
1 Biscoe    female      4319.
2 Biscoe    male        5105.
3 Biscoe    <NA>          NA 
4 Dream     female      3446.
5 Dream     male        3987.
6 Dream     <NA>        2975 
7 Torgersen female      3396.
8 Torgersen male        4035.
9 Torgersen <NA>          NA

Here’s an error:

ggplot(penguins, aes(x = bill_dep, y = body_mass)) +
  goem_point()
Error in goem_point(): could not find function "goem_point"

And here’s a warning:

ggplot(penguins, aes(x = bill_dep, y = body_mass)) +
  geom_point()
Warning: Removed 2 rows containing missing values or values outside the scale range
(`geom_point()`).