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index.Rmd
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---
title: "WolfWorks: Reproducible Research with R"
output:
html_document:
toc: FALSE
---
<style type="text/css">
body, td {
font-size: 18px;
}
code.r{
font-size: 14px;
}
pre {
font-size: 14px
}
</style>
```{r, echo = FALSE}
htmltools::img(src = knitr::image_uri("images/ww_master_orange.png"),
alt = 'logo',
style = 'position:absolute; top:5; right:0; padding:10px; width:170px; height:120px')
```
*This is the course handbook for WolfWorks: Reproducible Research with R.*
***
## General information
This workshop is part of the WolfWorks academic skills development at Wolfson
College, University of Cambridge. All data has been generated specifically for
demonstration purposes and does not reflect real-life data.
**Who:** This course is aimed at university students and other researchers.
Attendees are expected to have *some* previous experience with coding in R as the
basics of the R language and using RStudio will not be covered in this workshop.
**Where:** The Roger Needham Room, Wolfson College, University of Cambridge.
Unfortunately, this workshop is only available for in-person attendees and cannot
be joined virtually.
**When:** November 23rd 2023
**Contact**: Please e-mail Laura Jeffrey (lkj26@cam.ac.uk) or Charlotte Hutchings
(ch941@cam.ac.uk) for more details.
\
**The Carpentries**
```{r carpentries_image, out.width = "150px", echo = FALSE, warning = FALSE, fig.align = "right", out.extra = 'style = "float:right;padding:10px"'}
knitr::include_graphics("images/The Carpentries.jpg")
```
This workshop is designed and taught by Charlotte Hutchings, a certified
Carpentries instructor and PhD student at Wolfson College. The [Carpentries project](https://carpentries.org/index.html)
is a global community with a mission to teach data and coding skills and to
promote efficient, open, and reproducible research in all fields.
As this is a Carpentries-based workshop, all attendees are required to conform to
the [Carpentries code of conduct](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html).
\
***
## Course outline and schedule
The course will be divided into two sessions, one in the morning (9.30AM - 12PM)
and one in the afternoon (1.30PM - 4PM). Each session will cover several key
topics.
```{r, echo = FALSE}
tabl1 <- data.frame("Session" = c("Morning", "Morning",
"Morning", "Morning and Afternoon", "Afternoon"),
"Topic" = c("A summary of R and RStudio",
"Projects in RStudio",
"R Markdown Basics",
"Advanced R Markdown",
"Tips for clean coding"))
knitr::kable(tabl1,
col.names = c("Session", "Topic"),
caption = "Outline of today's workshop")
```