vitae

*/ˈviːteɪ/*

## Résumés and CVs for R Markdown

.bottom[
- Mitchell O'Hara-Wild (<svg style="height:0.8em;top:.04em;position:relative;fill:#1da1f2;" viewBox="0 0 512 512"><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"/></svg>[@mitchoharawild](https://twitter.com/mitchoharawild))
- Rob Hyndman (<svg style="height:0.8em;top:.04em;position:relative;fill:#1da1f2;" viewBox="0 0 512 512"><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"/></svg>[@robjhyndman](https://twitter.com/robjhyndman/))

23 November 2018
]

---

* hyndman: Rob Hyndman's personal CV template
* twentyseconds: Twenty Seconds CV template

---

# hyndman

![hyndman](resources/hyndman.png)

---

# twentyseconds

![twentyseconds](resources/twentyseconds.png)

---

* Creating a new CV
* Customising the YAML
* Adding content

---

# Using a new template

![template](resources/template_gui.png)

---

# Customising the YAML

```r
name: Nicholas Tierney
position: "Research Fellow"
address: "Monash University, Australia"
www: njtierney.com
profilepic: "njtierney.png"
email: "nicholas.tierney@gmail.com"
twitter: nj_tierney
github: njtierney
date: "`r format(Sys.time(), '%B %Y')`"
aboutme: "Constantly excited about #rstats"
output: vitae::twentyseconds
```

---

# Adding content

Content can be added using standard R Markdown functions.

The package also includes two functions for data structured output:

* detailed_entries()
* brief_entries()

This allows natural integration with other packages.

---

# Adding content

## Basic R Markdown

```r
# Welcome

This is my resume, Id like some jobs please.
```

---

# Adding content

## Education using [ropensci/rorcid](https://github.com/ropensci/rorcid)

```r
# Education
'`'{r education}
edu <- do.call("rbind",
  rorcid::orcid_educations("0000-0003-1460-8722")$`0000-0003-1460-8722`$`affiliation-group`$summaries
)
edu %>%
  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`
  )
'`'
```

---

# Adding content

## R packages using [metacran/pkgsearch](https://github.com/metacran/pkgsearch)

```r
# R Packages
'`'{r rpkgs, eval = FALSE}
pkgsearch::ps("Tierney",size = 100) %>%
  filter(maintainer_name == "Nicholas Tierney") %>% 
  brief_entries(
    what = title, 
    when = lubridate::year(date), 
    with = description
  )
'`'
```

---

# Adding content

# Publications using [jkeirstead/scholar](https://github.com/jkeirstead/scholar)

```r
# Publications
'`'{r publications}
scholar::get_publications("o4eVsQEAAAAJ") %>% 
  detailed_entries(
    what = title,
    when = year,
    with = author,
    where = journal,
    why = cites
  )
'`'
```

---

# Adding content

# Talks using manual data

```r
# Selected talks
'`'{r talks}
tibble::tribble(
  ~name, ~event, ~location, ~year,
  "Empowering people with community, software, and peer review", "**RUCK: R Users Conference Korea (Invited Keynote speaker)**", "Seoul, Korea", 2018, 
  "Now you see it?  Now you don’t?  The role of graphics in identifying MCMC convergence (Awarded Runner up Pitman Prize for Young Statistician)", "ISCB-ASC", "Melbourne, Australia", 2018,
  "Find the best locations for facilities using `maxcovr`", "UseR! 2018", "Brisbane, Australia", 2018
) %>% 
  detailed_entries(
    what = name,
    when = year,
    with = event,
    where = location
  )
'`'
```

---

.title[Thanks! <svg style="height:0.8em;top:.04em;position:relative;fill:white;" viewBox="0 0 576 512"><path d="M416 192c0-88.4-93.1-160-208-160S0 103.6 0 192c0 34.3 14.1 65.9 38 92-13.4 30.2-35.5 54.2-35.8 54.5-2.2 2.3-2.8 5.7-1.5 8.7S4.8 352 8 352c36.6 0 66.9-12.3 88.7-25 32.2 15.7 70.3 25 111.3 25 114.9 0 208-71.6 208-160zm122 220c23.9-26 38-57.7 38-92 0-66.9-53.5-124.2-129.3-148.1.9 6.6 1.3 13.3 1.3 20.1 0 105.9-107.7 192-240 192-10.8 0-21.3-.8-31.7-1.9C207.8 439.6 281.8 480 368 480c41 0 79.1-9.2 111.3-25 21.8 12.7 52.1 25 88.7 25 3.2 0 6.1-1.9 7.3-4.8 1.3-2.9.7-6.3-1.5-8.7-.3-.3-22.4-24.2-35.8-54.5z"/></svg>]

<br>

.larger[
<svg style="height:0.8em;top:.04em;position:relative;fill:white;" viewBox="0 0 496 512"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> Learn more on GitHub: [ropenscilabs/vitae](https://github.com/ropenscilabs/vitae)

<br>

.footnote[This work is licensed as <svg style="height:0.8em;top:.04em;position:relative;fill:white;" viewBox="0 0 496 512"><path d="M254.8 214.8l-33.2 17.3c-9.4-19.6-25.2-19.9-27.5-19.9-22.1 0-33.2 14.6-33.2 43.8 0 23.6 9.2 43.8 33.2 43.8 14.5 0 24.7-7.1 30.6-21.3l30.6 15.5c-6.2 11.5-25.7 39-65.1 39-22.6 0-74-10.3-74-77.1 0-58.7 43-77.1 72.6-77.1 30.8.2 52.7 12.1 66 36zm143.1 0l-32.8 17.3c-9.5-19.8-25.7-19.9-27.9-19.9-22.1 0-33.2 14.6-33.2 43.8 0 23.6 9.2 43.8 33.2 43.8 14.5 0 24.6-7.1 30.5-21.3l31 15.5c-2.1 3.7-21.4 39-65.1 39-22.7 0-74-9.9-74-77.1 0-58.7 43-77.1 72.6-77.1 30.8.2 52.7 12.1 65.7 36zM247.6 8C389.4 8 496 118.1 496 256c0 147.1-118.5 248-248.4 248C113.6 504 0 394.5 0 256 0 123.1 104.7 8 247.6 8zm.8 44.7C130.2 52.7 44.7 150.6 44.7 256c0 109.8 91.2 202.8 203.7 202.8 103.2 0 202.8-81.1 202.8-202.8.1-113.8-90.2-203.3-202.8-203.3z"/></svg> BY-NC 4.0.]
]