rmarkdown VS tinytex

I'm surprised to see no one has pointed out [RMarkdown + RStudio](https://rmarkdown.rstudio.com) as one way to immediately interface with Pandoc.

I used to write papers and slides in LaTeX (using vim, because who needs render previews), then eventually switched to Pandoc (also vim). I eventually discovered RMarkdown+RStudio. I was looking for a nice way to format a simple table and discovered that rmarkdown had nice extensions of basic markdown (this was many years ago so maybe that is incorporated into vanilla markdown/pandoc).

The RMarkdown page claims:

> R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.

...which I think is largely due to using pandoc as the core generator.

RStudio shows you the pandoc command it runs to generate your document, which I've used to figure out the pandoc command I want to run when I've switched to using pandoc directly.

This is a bit of a "lazy" way to interact with pandoc. Maybe the "laziest" aspect: when I get a new computer, I can install the entire stack by installing Rstudio, then opening a new rmarkdown document. Rstudio asks whether I'd like to install all the necessary libraries -- click "yes" and that's it. Maybe that sounds silly but it used to be a lot of work to manage your LaTeX install. These days I greatly favor things that save me time, which seems to get more precious every year.

Then, I worked on a Shiny project where I had to learn R Markdown. I was very excited about it because being paid to learn a new technology is something I have always preferred. I also worked with Highcharts graphs, which I didn’t do for years. It was also the first time I was being paid to design something. I didn’t enjoy that part as much as development, but I cannot say it was a bother either.

files/figure-latex/unnamed-chunk-2-1.pdf) Try to find the following text in midterm-question.Rmd: . See https://github.com/rstudio/rmarkdown/issues/385 for more info.

We used R Markdown for cleaning and analysis, creating updateable web pages we could share with everyone involved. Similarweb’s categories were useful, but too niche for us. So we spent a lot of time recategorizing and redefining the groupings. We used the token count for each website — how many words or phrases — to measure it’s importance in the overall training data.

In [R Markdown](https://rmarkdown.rstudio.com/) or [Quarto](https://quarto.org/), I can include inline code in a math equation, e.g.,

you probably want an rmd file with html output

GitHub issue code folding

R Markdown / Quarto https://quarto.org/ https://rmarkdown.rstudio.com/ ; can dynamically generate a document and compile it to HTML, PDF, others

Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching

# Based on https://github.com/analythium/quarto-docker-examples/blob/main/Dockerfile.base # Version number of Quarto to download and use ARG QUARTO_VERSION="1.4.529" ARG OS_USERNAME=quarto ARG UID=1000 ARG GID=1000 FROM eddelbuettel/r2u:20.04 # librsvg2-bin is to allow SVG conversion when rendering a PDF file # (will install the rsvg-view binary) RUN set -e -x && \ apt-get update && apt-get install -y --no-install-recommends \ pandoc \ pandoc-citeproc \ curl \ gdebi-core \ librsvg2-bin \ python3.8 python3-pip \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* RUN set -e -x && \ install.r shiny jsonlite ggplot2 htmltools remotes renv knitr rmarkdown quarto # Download and install Quarto ARG QUARTO_VERSION RUN set -e -x && \ curl -o quarto-linux-amd64.deb -L https://github.com/quarto-dev/quarto-cli/releases/download/v${QUARTO_VERSION}/quarto-${QUARTO_VERSION}-linux-amd64.deb \ && gdebi --non-interactive quarto-linux-amd64.deb \ && rm -f quarto-linux-amd64.deb # Should be done for the user; won't work if done for root # (quarto will say that "tinytex is not installed") ARG OS_USERNAME ARG UID ARG GID RUN set -e -x && \ groupadd -g $GID -o "${OS_USERNAME}" && \ useradd -m -u $UID -g $GID -o -s /bin/bash "${OS_USERNAME}" USER "${OS_USERNAME}" # Install tools like tinytex to allow conversion to PDF RUN set -e -x && \ quarto install tool tinytex --update-path RUN set -e -x && \ printf "\e[0;105m%s\e[0;0m\n" "Run tlmgr update" \ && ~/.TinyTeX/bin/x86_64-linux/tlmgr update --self --all && \ ~/.TinyTeX/bin/x86_64-linux/fmtutil-sys --all # See https://github.com/rstudio/tinytex/issues/426 for explanation RUN set -e -x && \ printf "\e[0;105m%s\e[0;0m\n" "Run tlmgr install for a few tinyText packages (needed for PDF conversion)" \ && ~/.TinyTeX/bin/x86_64-linux/tlmgr install fvextra footnotebackref pagecolor sourcesanspro sourcecodepro titling USER root RUN set -e -x && \ mkdir -p /input USER "${OS_USERNAME}" WORKDIR /

Some of the others have mentioned other installs, but they can pull down a lot of packages which might not be ideal if it's not your PC (even the TexLive install is quite chonky.) I'd personally recommend: TinyTex.

See https://yihui.org/tinytex

that will install a lightweight latex distribution ready to render your rmarkdown documents. just restart rstudio and give a try after this process (for more stuff, see https://yihui.org/tinytex/ )

Have you tried the things mentioned at the link? https://github.com/yihui/tinytex/issues/24

There is the tinyTeX distribution which was designed for use with R, but can be used on its own as well. It's a subsetted version of TeX live and available from https://yihui.org/tinytex/

If you'd like to install only a small subset of packages, there are projects like TinyTeX.

Tinytex is a relative new Latex distribution by Yihui Xie from the R community. The distribution is tiny, less than 100mb, which is a great alternative to TexLive and MikTex for basic users.