Last updated: July 18, 2020
Getting decent-looking plots with
There’s a list of all the
ggplot2 themes, but I don’t think any of them are great – they all have at least one weird element (no axis lines, hidden axis labels, non-white backgrounds, etc.).
Instead of the defaults, I like using
ggpubr, which provides a nicer set of themes suitable for publications and presentations.
The BBC has a set of defaults for
ggplot2 that is worth looking at.
The default color schemes aren’t great either.
ggsci provides some good alternatives.
The R Graph Gallery is a good resource for good-looking plots.
ggplot GUI is an online interface for dynamically exploring
Sometimes it’s helpful to have ASCII (text-based) plots.
txtplot is a package for doing this:
> library(txtplot) > with(cars, txtplot(speed,dist)) +---+----------+----------+---------+----------+-+ 120 + * + 100 + + | * | 80 + * * * + | * * * | 60 + * * * * + | * * * * * * | 40 + * * * * * + | * * * * * * * * * | 20 + * * * * * * + | * * * | 0 +---+----------+----------+---------+----------+-+ 5 10 15 20 25
Arranging multiple figures
There are a few ways to do this:
See Complete themes – ggplot2.
Tables for publication
tangramis a tool for creating “rich summary tables”.
table1is another interesting package for publication-quality tables.
flextablecan produce well-formatted HTML tables from data frames.
I’ve had great luck with making custom tables for publication with
- Create Awesome HTML Table with knitr::kable and kableExtra
- If you need to use variables inside
add_header_above(), you can use
I was not able to figure out an easy way to reference tables and figures in R Markdown text. The
captioner package is supposed to fix this, but it hasn’t been updated in 3 years so I’m not sure how well it actually works.
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