The R package jds.rmd provides R Markdown templates intended for Journal of Data Science, which can be useful for authoring a manuscript with code chunks or producing tables/figures on the fly.
One can install the released version from CRAN.
install.packages("jds.rmd")The latest version of the package can be installed by using remotes:
if (! require(remotes)) install.packages("remotes")
remotes::install_github("wenjie2wang/jds.rmd", upgrade = "never")We can create a manuscript draft named my_draft.Rmd and
render it to PDF as follows:
draft_rmd <- "my_draft.Rmd"
jds.rmd::draft(draft_rmd)
rmarkdown::render(draft_rmd)Notice that all the edits should be done in the R Markdown file
my_draft.Rmd. The LaTeX source file generated by
pandoc is kept on purpose for submission and may help debug
possible compilation errors. The generated PDF will be sufficient for
the peer-review process. If the paper is accepted, we will only need to
provide the journal production team with the generated LaTeX source
together with the generated figure files if any.
The package contains two class files, jdsart.cls and
jds.cls. The former is the latest version developed by VTeX and thus
recommended; the latter is deprecated and was developed before having
the production support by VTeX. The function
jds.rmd::draft() creates a draft using the
jdsart.cls by default.
Alternatively, a draft using the jds.cls can be created
by specifying cls = "jds". For those users who use the
latest jds.rmd package but the deprecated class file,
an option cls: jds needs to be added to the YAML header as
follows:
output:
jds.rmd::pdf_article:
cls: jds