REVIEW LaTeX and R both support extensive capability for generating pictures. Here we use the package to draw a flow chart, something that is a common requirement in documentation. The simple example shows the process of converting a .Rnw file using knitr (Xie 2022) to a LaTeX file which can then be processed by pdflatex to generate the .pdf file. The result can be seen in Figure @ref(fig:knitr:knitr_diagram_flowchart).

# Load package from the local library into the R session.

library(diagram)

# Identify some names for the nodes of the flowchart.

names   <- c(".Rnw", ".tex", ".pdf")

# Set up the connectivity data.

connect <- c(0,       0,          0,
"knitr", 0,          0,
0,       "pdflatex", 0)

# Constract a connectivity matrix and plot the flowchart.

matrix(nrow=3, ncol=3, byrow=TRUE, data=connect) %>%
plotmat(pos=c(1, 2), name=names, box.col="orange")

There are many more possibilities provided by diagram and if interested you can explore demo(plotmat) and demo(plotweb).

### References

Soetaert, Karline. 2020. Diagram: Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams. https://CRAN.R-project.org/package=diagram.
———. 2022. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0