Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion episodes/whats-next.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ knitr::opts_chunk$set(echo = TRUE)

## What should I do next?

First of all: If you do not have data you want to visualize
First of all: If you do not have data you want to visualise
already. Find some!

[Kaggle](https://www.kaggle.com/datasets) host competitions
Expand Down Expand Up @@ -57,6 +57,12 @@ we are not going to participate ourselves. But! The collection
of visualizations from 2022 is humongous, and a great place
to find ideas.

Sometimes you have a pretty good idea about what you want to visualise. But
you are uncertain about what graphs might be used for that. Or you know
what graph you want to make, but can't quite figure out how to write the code.
[The R Graph Gallery](https://r-graph-gallery.com/) have a wide selection of
chart types with code!


## Other online courses

Expand Down
41 changes: 39 additions & 2 deletions index.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,45 @@
site: sandpaper::sandpaper_site
---

This is a new lesson built with [The Carpentries Workbench][workbench].

In this course we will look at how to visualise data using the `ggplot2` package
in R.

We will cover the basics, and look at a selection of common graphs, how to
manipulate axes, scales and colours.


::::::::::::::::::::::::::::::::::::::: discussion
### This is not an introduction to R
In this course we assume you have the knowledge equivalent to attending one of
our <a href="https://kubdatalab.github.io/R-intro/" target="_blank">introductory courses</a>

:::::::::::::::::::::::::::::::::::::::::::::::::::

:::::::::::::::: solution

### List of required knowledge
- <a href="https://kubdatalab.github.io/R-api_new/#software-setup" target="_blank">Have R and R-studio installed</a>
- Alternatively run everything on rstudio.cloud
- Know how to assign values to variables
- Know what a function is, and how we pass input and parameters to it
- Be familiar with the %>% operator
- Know the basic verbs from dplyr of the tidyverse:
- select
- filter
- mutate
- arrange
- summarise
- Be familiar with dataframes
- Know how to install and load packages
- Know how to comment your code
- Know how to do math on variables
- Get the concept of vectors
- Subsetting vectors and dataframes
- Using logical tests
- Use NA to encode missing values
- Read in data from a csv/excel

:::::::::::::::::::::::::

[workbench]: https://carpentries.github.io/sandpaper-docs

115 changes: 93 additions & 22 deletions learners/setup.md
Original file line number Diff line number Diff line change
@@ -1,45 +1,104 @@
---
title: Setup
---
## Software Setup

FIXME: Setup instructions live in this document. Please specify the tools and
the data sets the Learner needs to have installed.
::::::::::::::::::::::::: callout

## Data Sets
### Warning

<!--
FIXME: place any data you want learners to use in `episodes/data` and then use
a relative link ( [data zip file](data/lesson-data.zip) ) to provide a
link to it, replacing the example.com link.
-->
Download the [data zip file](https://example.com/FIXME) and unzip it to your Desktop
Please do NOT install R and RStudio on Onedrive or other clouddrives.
R will work but you will not be able to install the extensions to R
that you will need in this course!

## Software Setup
::::::::::::

::::::::::::::::::::::::::::::::::::::: discussion

### Details
### Installing R and RStudio

**R** and **RStudio** are separate downloads and installations. R is the
underlying statistical computing environment, but using R alone is no
fun. RStudio is a graphical integrated development environment (IDE) that makes
using R much easier and more interactive. You need to install R before you
install RStudio. Once installed, because RStudio is an IDE, RStudio will run R in
the background. You do not need to run it separately.


Setup for different systems can be presented in dropdown menus via a `solution`
tag. They will join to this discussion block, so you can give a general overview
of the software used in this lesson here and fill out the individual operating
systems (and potentially add more, e.g. online setup) in the solutions blocks.

:::::::::::::::::::::::::::::::::::::::::::::::::::

:::::::::::::::: solution

### Online
Rather than installing R and RStudio on your personal computer,
[Posit Cloud](https://posit.cloud//) offers a free, online alternative,
where you will be able to run R and RStudio in your browser.
Sign up with your Google/Gmail account if you have one, or with any other email.

The free version of RStudio Cloud places limitations on the number of projects you
can work on, and the amount of memory and processing power you can access. For the
purposes of following these lessons, RStudio Cloud is perfectly adequate, and what we
recommend if you have any problems installing R and RStudio on your personal computer.

:::::::::::::::::::::::::

:::::::::::::::: solution

### Windows

Use PuTTY
#### If you already have R and RStudio installed

* Open RStudio, and click on "Help" > "Check for updates". If a new version is
available, quit RStudio, and download the latest version for RStudio.
* To check which version of R you are using, start RStudio and the first thing
that appears in the console indicates the version of R you are
running. Alternatively, you can type `sessionInfo()`, which will also display
which version of R you are running. Go on
the [CRAN website](https://cran.r-project.org/bin/windows/base/) and check
whether a more recent version is available. If so, please download and install
it. You can [check here](https://cran.r-project.org/bin/windows/base/rw-FAQ.html#How-do-I-UNinstall-R_003f) for
more information on how to remove old versions from your system if you wish to do so.

#### If you don't have R and RStudio installed

* Download R from
the [CRAN website](https://cran.r-project.org/bin/windows/base/release.htm).
* Run the `.exe` file that was just downloaded.
* Go to the [RStudio download page](https://www.rstudio.com/products/rstudio/download/#download).
* Under *Installers* select **RStudio x.yy.zzz - Windows.
Vista/7/8/10** (where x, y, and z represent version numbers).
* Double click the file to install it.
* Once it's installed, open RStudio to make sure it works and you don't get any
error messages.

:::::::::::::::::::::::::

:::::::::::::::: solution

### MacOS

Use Terminal.app
#### If you already have R and RStudio installed

* Open RStudio, and click on "Help" > "Check for updates". If a new version is
available, quit RStudio, and download the latest version for RStudio.
* To check the version of R you are using, start RStudio and the first thing
that appears on the terminal indicates the version of R you are running. Alternatively, you can type `sessionInfo()`, which will also display which version of R you are running. Go on
the [CRAN website](https://cran.r-project.org/bin/macosx/) and check
whether a more recent version is available. If so, please download and install
it. In any case, make sure you have at least R 3.2.

#### If you don't have R and RStudio installed

* Download R from
the [CRAN website](https://cran.r-project.org/bin/macosx/).
* Select the `.pkg` file for the latest R version.
* Double click on the downloaded file to install R.
* It is also a good idea to install [XQuartz](https://www.xquartz.org/) (needed
by some packages).
* Go to the [RStudio download page](https://www.rstudio.com/products/rstudio/download/#download).
* Under *Installers* select **RStudio x.yy.zzz - Mac OS X 10.6+ (64-bit)**
(where x, y, and z represent version numbers).
* Double click the file to install RStudio.
* Once it's installed, open RStudio to make sure it works and you don't get any
error messages.

:::::::::::::::::::::::::

Expand All @@ -48,7 +107,19 @@ Use Terminal.app

### Linux

Use Terminal
* Follow the instructions for your distribution
from [CRAN](https://cloud.r-project.org/bin/linux), they provide information
to get the most recent version of R for common distributions. For most
distributions, you could use your package manager (e.g., for Debian/Ubuntu run
`sudo apt-get install r-base`, and for Fedora `sudo yum install R`), but we
don't recommend this approach as the versions provided by this approach are
usually out of date. In any case, make sure you have at least R 3.2.
* Go to the
[RStudio download page](https://www.rstudio.com/products/rstudio/download/#download).
* Under *Installers* select the version that matches your distribution, and
install it with your preferred method (e.g., with Debian/Ubuntu `sudo dpkg -i
rstudio-x.yy.zzz-amd64.deb` at the terminal).
* Once it's installed, open RStudio to make sure it works and you don't get any
error messages.

:::::::::::::::::::::::::