Use SAS, R, and Quarto Together
sasquatch allows you to combine the power of R, SAS, and quarto
together to create reproducible multilingual reports. sasquatch can
run SAS code blocks interactively, send data back and forth between SAS
and R, and render SAS HTML output within quarto documents.
sasquatch relies on the
SASPy Python package. But if
you…
- Don’t have
SASPyalready installed, or - Don’t have a SAS License
Check out vignette("setting_up") for guidance on how to get started
with a free SAS On Demand for
Academics
license (you don’t need to be an academic!).
You can install the development version of sasquatch like so:
# install.packages("pak")
pak::pkg_install("ryanzomorrodi/sasquatch")Once you have setup SASPy and connected to the right python
environment using reticulate (if necessary), you can create a quarto
document like any other, call sas_connect(), and just get going!
---
format: html
engine: knitr
---
```{r}
library(sasquatch)
sas_connect()
```
```{sas}
```
Now, you should be able to run SAS code blocks in RStudio like any other.
If you want to send the SAS output to the viewer, you can utilize the
sas_run_selected() addin with a custom shortcut.
Pass tables between R and SAS with r_to_sas() and sas_to_r().
r_to_sas(mtcars, "mtcars")
cars <- sas_to_r("cars", libref = "sashelp")And of course, render beautiful quarto documents in the same style you
would expect from SAS with the sas_engine().
saquatch works similarly to packages like
sasr or
configSAS. In fact, configSAS
author Johann Laurent’s
talk at a useR! event
inspired sasquatch’s creation. sasr, while similar to sasquatch,
does not include interactive SAS functionality or a knitr engine. On
the other hand, configSAS includes a knitr engine, but no
interactive SAS functionality. configSAS knitr output also does not
include syntax highlighting and nested SAS output interferes with the
styles of the rest of the document.