New website w/ quarto

.gitignore

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-public/
-static/processed_images/
+.Rproj.user
+.Rhistory
+.RData
+.Ruserdata
+
+/.quarto/

2024-04-17.qmd

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+---
+title: "RTromsø's First Meeting: 2024-04-17"
+---
+
+We were delighted with the turnout at RTromsø's first meeting on 2024-04-17. Held in the SVHUM E0101 auditorium, the meeting was attended by over 65 people from departments across UiT's campus. Pizza was provided by Radovan Bast with funding from the [Research Software Engineering](https://research-software.uit.no/) group at UiT.
+
+Those who attended were invited to respond to polls to give us a better idea about who was attending the meeting. From these we learned that:
+
+-  The three largest roles were researchers, PhD students and Masters students.
+-  The two largest faculties represented were the Faculty of Health Sciences and the Faculty of Biosciences, Fisheries and Economics.
+-  Most attendees described themselves as having limited to moderate experience with R.
+
+When polled attendees' preferences, we observed:
+
+-  Roughly equal interest in presentation, tutorial, help session, and problem solving formats
+-  Slight preference for scheduling meetings on alternating days of the week 
+-  Meeting frequency preference split mostly between every two weeks and every month.
+-  10 people willing to help out at help sessions, 5 willing to give tutorials, and 5 willing help with written materials.
+
+At the end of the meeting, a brief introduction to UiT's [Research Data Portal](https://en.uit.no/research/research-dataportal) was provided by Philipp Conzett.

2024-05-07.qmd

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+---
+title: "RTromsø Help Session: 2024-05-07"
+---
+
+RTromsø's first help session will be held from 11.00-12.30 at [SVHUM E0102](https://link.mazemap.com/ZGPh22t8) in the HSL building.
+
+A short tutorial session will be presented using the material from [Chapter 3](https://r4ds.hadley.nz/data-transform) of [R 4 Data Science](https://r4ds.hadley.nz/) by Hadley Wickham.
+
+The session plan is:
+
+- 11.00-11.30: Tutorial: Basics of dplyr and Data Frames
+- 11.30-12.30: R Help Session

_quarto.yml

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+project:
+  type: website
+
+execute:
+  freeze: auto
+
+website:
+  title: "RTromsø - R @ UiT"
+  navbar:
+    left:
+      - href: index.qmd
+        text: Home
+      - href: events.qmd
+        text: Events
+      - resources.qmd
+
+
+
+  sidebar:
+    - title: "Events"
+      style: "docked"
+      background: light
+      contents:
+        - events.qmd
+        - 2024-05-07.qmd
+        - 2024-04-17.qmd
+
+
+format:
+  html:
+    theme: lumen
+    css: styles.css
+    toc: true
+    grid:
+      margin-width: 450px
+
+editor: visual
+

about.qmd

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+---
+title: "About"
+---
+
+About this site
+
+```{r}
+1 + 1
+```

events.qmd

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+---
+title: "RTromsø Events"
+---
+
+Here is a list of previous and upcoming events coordinated by RTromsø:
+
+## Upcoming
+
+-   [2024-05-07](2024-05-07.qmd)- R Help Session (11:00-12:30 at [SVHUM E0102](https://link.mazemap.com/bLl23M2U))
+
+## Previous
+
+-   [2024-04-17](2024-04-17.qmd)- First RTromsø user group meeting

index.qmd

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+---
+title: "RTromsø: the R user group a UiT"
+---
+
+::: {.column-margin}
+![](RTromso-logo-hex.svg){fig-align="left"}
+:::
+R is a programming language which is especially powerful for statistics, data exploration, and visualization. It is open source and free to use, and has a large and active community of users.
+
+**RTromsø** is a series of meet-ups and workshops for R users at UiT, the Arctic University of Norway where we can share knowledge and experiences, and together learn more about R.
+
+-   [Events](events.qmd) - Next event: (7. may, 11:00-12:30 at [SVHUM E0102](https://link.mazemap.com/ZGPh22t8))
+
+-   [Resources](resources.qmd) - A curated list of useful R videos, books and resources.
+
+If you would like to be added or removed from the RTromsø mailing list, please visit this [page](https://nettskjema.no/a/428883)
+
+----
+RTromsø is administered in coordination with the [Research Software Engineering](https://research-software.uit.no/) group at UiT.

resources.qmd

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+---
+title: "Resources"
+---
+
+There are huge number of R resources and websites available online. Included below are links to some R resources which we like. Please let us know if there are more that should be included!
+
+## Books
+
+Here you will find a variety of R-related books, most with both online and print versions.
+
+### Learning R
+
+-   [R 4 Data Science (2e)](https://r4ds.hadley.nz/) - Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
+-   [R Programming for Research](https://geanders.github.io/RProgrammingForResearch/) - Brooke Anderson, Rachel Severson, and Nicholas Good
+    -   [YouTube Lectures](https://www.youtube.com/@brookeanderson6781/playlists)
+-   [Data wrangling, exploration, and analysis with R](https://stat545.com/) - Jenny Bryan
+
+### Statistics with R
+
+-   [An Introduction to Statistical Learning with Applications in R (2e)](https://www.statlearning.com/) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
+    -   Course: [StanfordOnline: Statistical Learning with R](https://www.edx.org/learn/statistics/stanford-university-statistical-learning)
+-   [Statistical Inference via Data Science: A ModernDive into R and the Tidyverse!](https://moderndive.com/) - Chester Ismay and Albert Y. Kim
+-   [Tidy Modeling with R](https://www.tmwr.org/) - Max Kuhn and Julia Silge
+-   [Applied Statistics Using R: A Guide for the Social Sciences](https://us.sagepub.com/en-us/nam/applied-statistics-using-r/book266647) - [Matthias Mittner](https://uit.no/ansatte/matthias.mittner) \@ UiT (*print only*)
+-   [Innføring i R for statistiske dataanalyser](https://www.universitetsforlaget.no/en/innforing-i-r-for-statistiske-dataanalyser) - [Matthias Mittner](https://uit.no/ansatte/matthias.mittner) \@ UiT (*print only*)
+-   [Introduction to Modern Statistics](https://openintro-ims2.netlify.app/) - Statistics textbook written using Quarto in RStudio ([source code on github](https://github.com/OpenIntroStat/ims))
+-   [Beyond Multiple Linear Regression: *Applied Generalized Linear Models and Multilevel Models in R*](https://bookdown.org/roback/bookdown-BeyondMLR/) *-* Paul Roback and Julie Legler
+
+## R Resources:
+
+-   [Data Science Learning Community](https://dslc.io) - tools and resources for data science, including R and Python.
+
+    -   Weekly data science book clubs - [Website](https://dslc.io/bookclubs.html) / [YouTube](https://www.youtube.com/@dslcvids)
+
+    -   [R Help Slack Channels](https://dslc.io/question_answering.html)
+
+    -   [TidyTuesday](https://github.com/rfordatascience/tidytuesday/blob/master/README.md) - Weekly real-world dataset analyzed by the community
+
+-   [RStudio Education: Finding your way to R](https://education.rstudio.com/learn/)
+
+    -   [A Gentle Introduction to Tidy Statistics in R](https://posit.co/resources/videos/a-gentle-introduction-to-tidy-statistics-in-r/) - 1 hour video webinar by Thomas Mock
+
+-   [R Cheatsheets](https://posit.co/resources/cheatsheets/) - Printable double-sided PDFs summarizing various topics and packages.
+
+-   [Awesome R](https://github.com/qinwf/awesome-R) - A curated list of awesome R packages and tools.
+
+-   [Posit Recipes](https://posit.cloud/learn/recipes) - A collection of R code snippets and instructions featuring up-to-date best practices for coding in R.
+
+## Interactive Tutorials
+
+For these sites, the introductory courses are usually free, while more advanced courses require payment.
+
+-   [DataCamp](https://www.datacamp.com/category/r)
+-   [Codecademy](https://www.codecademy.com/catalog/language/r)

rtromso-website.Rproj

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+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX

styles.css

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+/* css styles */