vitae
/ˈviːteɪ/
Templates and tools for making a Résumé/CV
The vitae package makes creating and maintaining a Résumé or CV with R
Markdown simple. It provides a collection of LaTeX templates, with
helpful functions to add content to the documents.
Installation
You can install the release version from CRAN.
install.packages('vitae')
You can install the development version from
GitHub.
# install.packages("devtools")
devtools::install_github("mitchelloharawild/vitae")
This package requires LaTeX to be installed on your computer. If you’re
encountering issues, please check that LaTeX is installed. The tinytex
package makes it easy to setup LaTeX
within R:
install.packages('tinytex')
tinytex::install_tinytex()
Getting started
The vitae package currently supports 5 popular CV templates, and
adding more is a relatively simple process (details in the creating
vitae
templates
vignette).
Creating a new CV with vitae can be done using the RStudio R Markdown
template selector: 
These templates leverage the strength of rmarkdown to include common
information in the YAML header (name, position, social links…) and
extended information in the main body. The main body of the CV is
written using markdown, and allows for data-driven generation of entries
using the *_entries
functions.
This allows you to import your working history from other sources (such
as ORCID, Google Scholar, or a maintained dataset), and include them
programmatically into your CV.
For example, the rorcid package
can be used to extract Rob
Hyndman’s education history:
orcid_data <- do.call("rbind",
rorcid::orcid_educations("0000-0002-2140-5352")$`0000-0002-2140-5352`$`affiliation-group`$summaries
)
#> Warning: package 'dplyr' was built under R version 3.6.2
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#> education-summary.role-title education-summary.start-date.year.value
#> 1 PhD 1990
#> 2 Bachelor of Science (Honours) 1985
#> education-summary.end-date.year.value education-summary.organization.name
#> 1 1992 University of Melbourne
#> 2 1988 University of Melbourne
#> education-summary.organization.address.city
#> 1 Melbourne
#> 2 Melbourne
The package provides two types of entries from data, which are
detailed_entries and brief_entries. Both functions provide sections
for what, when, and with, and the detailed_entries additionally
supports where and why. These arguments support operations, so for
this example, we have used glue to combine the start and end years for
our when input. Excluding any inputs is also okay (as is done for
why), it will just be left blank in the CV.
orcid_data %>%
detailed_entries(
what = `education-summary.role-title`,
when = glue::glue("{`education-summary.start-date.year.value`} - {`education-summary.end-date.year.value`}"),
with = `education-summary.organization.name`,
where = `education-summary.organization.address.city`
)
Additional examples of using this package can be found in the slides
presented at ozunconf2018:
https://slides.mitchelloharawild.com/vitae/
Examples of using vitae
- Mitchell O’Hara-Wild
- Rob Hyndman
- Eric R. Scott
- Chris
Umphlett - Nat Price
- Sam Abbott (automatic deployment!)
- JooYoung Seo (printing
multiple bibliographic entries according to a given csl file) - Diogo M. Camacho
- Han Zhang (custom csl files)
Add your vitae to the list using a PR.
Please note that the ‘vitae’ project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
The vitae project began as at rOpenSci’s
OzUnconf 2018. A big thank you to
rOpenSci and the event organisers for their work, which has played a big
role in the formation of this package.