Resources

The biostats team have written a series of books (“Enough R to write a thesis”), apps, and tutorials that we will use in Bio300B

Biostats Books

The Biostats books emphasis reproducible research.

Working in R

Learn how to import, manipulate and visualise data with our working in R book. After an introduction to R, this book has a tidyverse flavour, showing how to manipulate data with dplyr and make publishable plots with ggplot2. It includes lots of exercises to hone your skills.

Reproducible documents with R

Learn how to write reproducible documents (anything from a course assignment to a thesis or manuscript) in quarto: no more copy-paste nightmares. Quarto is the successor to R markdown.

Biostats apps and tutorials

We have developed interactive learnr tutorials for

naming objects
dates and times
mathematical notation on plots

and shiny apps to explore some statistical concepts.

These can be installed from biostats apps and learnr tutorials with

# install remotes if you don't have it already
# install.packages("remotes")
remotes::install_github("biostats-r/biostats.tutorials")

---
title: Resources
---


```{r}
#| echo: false
r_logo <- fontawesome::fa(name = "r-project", fill = "steelblue")
```



The biostats team have written a series of books  `r r_logo` (["Enough R to write a thesis"](https://biostats-r.github.io/biostats/)), apps, and tutorials that we will use in Bio300B



## Biostats Books

The Biostats books emphasis reproducible research.

```{=html}
<style>
a.book:link { color:#eeaa2c; text-decoration:none; font-weight:normal; }
a.book:visited { color: #eeaa2c; text-decoration:none; font-weight:normal; }
a.book:hover { color: #eeaa2c; text-decoration:underline; font-weight:normal; }
a.book:active { color: #eeaa2c; text-decoration:none; font-weight:normal; }
</style>
```
### <a class = "book" href = "workingInR/index.html">Working in R</a> 

::: {layout="[[25,75]]"}
```{r}
#| label: working-in-r
#| fig-link: workingInR/index.html
#| echo: false
#| fig-alt: "Working in R logo"
#| out-width: 300px
#| out.extra: 'style="float:left; padding:5px"'
knitr::include_graphics("figures/working.jpg")
```

Learn how to import, manipulate and visualise data with our [working in R](workingInR/index.html) book.
After an introduction to R, this book has a tidyverse flavour, showing how to manipulate data with `dplyr` and make publishable plots with `ggplot2`.
It includes lots of exercises to hone your skills.
:::


### <a class = "book" href = "quarto/index.html">Reproducible documents with R</a> 

::: {layout="[[25,75]]"}
```{r}
#| label: markdown
#| fig-link: quarto/index.html
#| echo: false
#| fig-alt: "Quarto markdown logo"
#| out-width: 300px
#| out.extra: 'style="float:left; padding:5px"'
knitr::include_graphics("figures/quarto.png")
```

Learn how to write reproducible documents (anything from a course assignment to a thesis or manuscript) in [quarto](quarto/index.html): no more copy-paste nightmares.
Quarto is the successor to R markdown.
:::

## Biostats apps and tutorials

We have developed interactive `learnr` tutorials for

-   naming objects
-   dates and times
-   mathematical notation on plots

and shiny apps to explore some statistical concepts.

These can be installed from [biostats apps and `learnr` tutorials](https://github.com/biostats-r/biostats.tutorials) with

```{r eval = FALSE}
# install remotes if you don't have it already
# install.packages("remotes")
remotes::install_github("biostats-r/biostats.tutorials")
```