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+---
+title: 'Introduction to R and RStudio'
+teaching: 45
+exercises: 5 
+---
+
+
+
+:::::::::::::::::::::::::::::::::::::: questions 
+
+- How to find your way around RStudio?
+- How to manage projects in R?
+- How to install packages?
+- How to interact with R?
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+::::::::::::::::::::::::::::::::::::: objectives
+
+After completing this episode, participants should be able to…
+
+- Create self-contained projects in RStudio
+- Install additional packages using R code.
+- Manage packages
+- Define a variable
+- Assign data to a variable
+- Call functions
+
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+# Project management in RStudio  
+
+RStudio is an integrated development environment (IDE), which means 
+it provides a (much prettier) interface for the R software. For RStudio to work, 
+you need to have R installed on your computer. But R is integrated into RStudio,
+so you never actually have to open R software.
+
+RStudio provides a useful feature: creating projects - 
+self-contained working space (i.e. working directory), to which R will refer to,
+when looking for and saving files. 
+You can create projects in existing directories (folders) or create a new one. 
+
+## Creating RStudio Project 
+
+We’re going to create a project in RStudio in a new directory.
+To create a project, go to: 
+
+- `File` 
+- `New Project` 
+- `New directory` 
+- Place the project that you will easily find on your laptop and name the project `data-carpentry`
+- `Create project`
+
+
+## Organising working directory
+
+Creating an RStudio project is a good first step towards good project management. 
+However, most of the time it is a good idea to organize working space further. 
+This is one suggestion of how your R project can look like.
+Let's go ahead and create the other folders:
+
+- `data/` - should be where your raw data is. **READ ONLY**
+- `data_output/` - should be where your data output is saved **READ AND WRITE**
+- `documents/` - all the documentation associated with the project (e.g. cookbook)
+- `fig_output/` - your figure outputs go here **WRITE ONLY**
+- `scripts/` - all your code goes here **READ AND WRITE**
+
+![R project organization](fig/rstudio_project_files.jpeg){alt="RStudio 
+project logo with five lines, each leading from the logo towards 
+one of the five boxes with texts: 'data/', 'data_output/',  'documents/',
+'fig_output/', 'scripts/'"}
+
+
+You can create these folders as you would any other folders on your laptop, but 
+R and RStudio offer handy ways to do it directly in your RStudio session.
+
+You can use RStudio interface to create a folder in your project by going to
+lower-bottom pane, files tab, and clicking on Folder icon. 
+A dialog box will appear, 
+allowing you typing a name of a folder you want to create.
+
+An alternative solution is to create the folders using R command `dir.create()`. 
+In the console type: 
+
+
+```r
+dir.create('data')
+dir.create('data_output')
+dir.create('documents')
+dir.create('fig_output')
+dir.create('scripts')
+```
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: instructor
+
+In interest of time, focus on one way of creating the folders. You can showcase 
+an alternative method with just one example. 
+
+Once you have finished, ask the participants if they have managed to create a 
+R Project and get the same folder structure. 
+To do this, use green and red stickers.
+
+This will become important, as we use relative paths together with `here`
+package to read and write objects. 
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+## Two main ways to interact with R
+
+There are two main ways to interact with R through RStudio: 
+
+- test and play environment within the interactive **R console** 
+- write and save an **R script (`.R` file)**  
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: callout
+
+When you open the RStudio or create the Rstudio project, you will see Console 
+window on the left by default. Once you create an R script, 
+it is placed in the upper left pane. 
+The Console is moved to the bottom left pane.
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+
+Each of the modes o interactions has its advantages and drawbacks. 
+
+|        | Console | R script|
+|--------|---------|---------|
+|**Pros**|Immediate results| Complete record of your work |
+|**Cons**| Work lost once you close RStudio  | Messy if you just want to print things out|
+
+
+
+## Creating a script
+
+During the workshop we will mostly use an `.R` script to have a full documentation 
+of what has been written. This way we will also be able to reproduce the results.
+Let's create one now and save it in the `scripts` directory.
+
+- `File` 
+- `New File` 
+- `R Script` 
+- A new `Untitled` script will appear in the source pane. 
+- Save it using floppy disc icon. 
+- Select the `scripts/` folder as the file location
+- Name the script `intro-to-r.R`
+
+
+## Running the code
+
+Note that all code written in the script can be also executed at a spot in the  
+interactive console. 
+We will now learn how to run the code both in the console and the script.
+
+- In the Console you run the code by hitting <kbd>Enter</kbd> 
+  at the end of the line
+- In the R script there are two way to execute the code:
+   + You can use the `Run` button on the top right of the script window. 
+   + Alternatively, you can use a keyboard shortcut: <kbd>Ctrl</kbd>  +
+     <kbd>Enter</kbd> or <kbd>Command</kbd> + <kbd>Return</kbd> for MAC users.
+
+In both cases, the active line (the line where your cursor is placed) or a 
+highlighted snippet of code will be executed. A common source of error in scripts,
+such as a previously created object not found, is code that has not been executed in 
+previous lines: make sure that all code has been executed as described above. 
+To run all lines before the active line, you can use the keyboard shortcut 
+<kbd>Ctrl</kbd> + <kbd>Alt</kbd> + <kbd>B</kbd> on Windows/Linux or 
+<kbd>Command</kbd> + <kbd>option</kbd> + <kbd>B</kbd> on Mac.
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: callout
+
+### Escaping
+
+The console shows it's ready to get new commands with `>` sign. 
+It will show `+` sign if it still requires input for the command to be executed.
+
+Sometimes you don't know what is missing/ you change your mind and 
+want to run something else, or your code is running much too long 
+and you just want it to stop. 
+The way to do it is to press <kbd>Esc</kbd>.
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+## Packages 
+
+A great power of R lays in **packages: add-on sets of functions** that are build
+by the community and once they go through a quality process they are available to
+download from a repository called `CRAN`. They need to be explicitly activated. 
+Now, we will be using `tidyverse` package, 
+which is actually a collection of useful packages. 
+Another package that we will use is `here`.
+
+You were asked to install `tidyverse` package in the preparation for the workshop.
+You need to install a package only once, so you won't have to do it again. 
+We will however need to install the `here` package. To do so, please go to your 
+script and type:
+
+
+```r
+install.packages('here')
+```
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: callout
+
+If you are not sure if you have `tidyverse` packaged installed, you can check it
+in the `Packages` tab in the bottom right pane. 
+In the search box start typing '`tidyverse`'  and see if it appears in the list 
+of installed packages. If not, you will need to install it by writing in 
+the script:
+
+
+```r
+install.packages('tidyverse')
+```
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: callout
+
+### Commenting your code
+
+Now we have a bit of an issue with our script. As mentioned, the packages need to 
+be installed only once, but now, they will be installed each time we run the script, 
+which can take a lot of time if we're installing a large package like `tidyverse`.
+
+To keep a trace of you installing the packages, without executing it, you can use
+a comment. In `R`, anything that is written after a has sign `#`, is ignored in 
+execution. Thanks to this feature, you can annotate your code. 
+Let's adapt our script by changing the first lines into comments: 
+
+
+```r
+# install.packages('here')
+# install.packages('tidyverse')
+```
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+
+Installing packages is not sufficient to work with them. You will need to load 
+them each time you want to use them. To do that you use `library()` command:
+
+
+```r
+# Load packages
+library(tidyverse)
+library(here)
+```
+
+## Handling paths 
+
+You have created a project which is your working directory, 
+and a few sub-folders, that will help you organise your project better. 
+But now, each time you will save or retrieve a file from those folders,
+you will need to specify the path from the folder you are in 
+(most likely the `scripts/` folder) to those files. 
+
+That can become complicated and might cause a reproducibility problem,
+if the person using your code (including future you) 
+is working in a different sub-folder. 
+
+
+We will use the `here()` package to tackle this issue. This package converts relative
+paths from the root (main folder) of your project to absolute paths (the exact 
+location on your computer). For instance, instead of writing out the full path like 
+"C:/Users/YourName/Documents/r-geospatial-urban/data/file.csv" or 
+"~/Documents/r-geospatial-urban/data/file.csv", you can use the `here()` function 
+to create a path relative to your project's main directory. This makes your code 
+more portable and reproducible, as it doesn't depend on a specific location of 
+your project on your computer.
+
+It might be confusing, so let's see how it works. We will use the `here()` function
+from the `here` package. In the console, we write:
+
+
+```r
+here()
+here('data')
+```
+
+You all probably have something different printed out. And this is fine, because
+`here` adapts to your computer's specific situation. 
+
+
+## Download files  
+
+We still need to download data for the first part of the workshop. 
+You can do it with the function `download.file()`. 
+We will save it in the `data/` folder, where the **raw** data should go. 
+In the script, we will write: 
+
+
+```r
+# Download the data
+download.file('https://bit.ly/geospatial_data', 
+              here('data','gapminder_data.csv'))
+```
+
+:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: callout
+
+# Importing data into R
+
+Three of the most common ways of importing data in R are:
+
+- loading a package with pre-installed data;
+- downloading data from a URL;
+- reading a file from your computer.
+
+For larger datasets, database connections or API requests are also possible. We
+will not cover these in the workshop.
+
+::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+
+# Introduction to R
+
+You can use R as calculator, you can for example write:
+
+
+```r
+1+100
+1*100
+1/100
+```
+
+
+## Variables and assignment
+
+However, what's more useful is that in R we can store values and
+use them whenever we need to. 
+We using the assignment operator `<-`, like this:
+
+
+```r
+x <- 1/40
+```
+
+Notice that assignment does not print a value. Instead, we've stored it for later 
+in something called a variable. `x` variable now contains the value `0.025`:
+
+```r
+x
+```
+
+Look for the `Environment` tab in the upper right pane of RStudio. 
+You will see that `x` and its value have appeared in the list of Values. 
+Our variable `x` can be used in place of a number in any calculation that expects
+a number, e.g. when calculating a square root:
+
+
+```r
+sqrt(x)
+```
+
+Variables can be also reassigned. This means that we can assign a new value to 
+variable `x`:
+
+```r
+x <- 100
+x
+```
+
+You can use one variable to create a new one:
+
+```r
+y <- sqrt(x) # you can use value stored in object x to create y
+y
+```
+
+
+
+::::::::::::::::::::::::::::::::::::: keypoints 
+
+- Use RStudio to write and run R programs.
+- Use `install.packages()` to install packages.
+- Use `library()` to load packages.
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+