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corner, you have access to several tools:

      ● Files: This is where you can browse the folders and files on your computer.

      ● Plots: This is where R displays your plots (charts or graphs). We discuss plots in Part V.

      ● Packages: You can view a list of all installed packages.

      

A package is a self-contained set of code that adds functionality to R, similar to the way that add-ins add functionality to Microsoft Excel.

      ● Help: This is where you can browse R's built-in Help system.

      ● Viewer: This is where RStudio displays previews of some advanced features, such as dynamic web pages and presentations that you can create with R and add-on packages.

       Figure 2-4: RStudio’s four work areas (panes).

      Starting Your First R Session

      By now, you probably are itching to get started on some real code. In this section, you get to do exactly that. Get ready to get your hands dirty!

Saying hello to the world

      Programming books typically start with a very simple program. Often, this first program creates the message "Hello world!". In R, hello world program consists of one line of code.

      Start a new R session, type the following in your console, and press Enter:

      > print("Hello world!")

      R responds immediately with this output:

      [1] "Hello world!"

      

As we explain in the introduction to this book, we collapse input and output into a single block of code, like this:

      > print("Hello world!")

      [1] "Hello world!"

Doing simple math

      Type the following in your console to calculate the sum of five numbers:

      > 1 + 2 + 3 + 4 + 5

      [1] 15

      The answer is 15, which you can easily verify for yourself. You may think that there’s an easier way to calculate this value, though – and you’d be right. We explain how in the following section.

Using vectors

      A vector is the simplest type of data structure in R. The R manual defines a vector as “a single entity consisting of a collection of things”. A collection of numbers, for example, is a numeric vector – the first five integer numbers form a numeric vector of length 5.

      To construct a vector, type into the console:

      > c(1, 2, 3, 4, 5)

      [1] 1 2 3 4 5

      In constructing your vector, you have successfully used a function in R. In programming language, a function is a piece of code that takes some inputs and does something specific with them. In constructing a vector, you tell the c() function to construct a vector with the first five integers. The entries inside the parentheses are referred to as arguments.

      You also can construct a vector by using operators. An operator is a symbol you stick between two values to make a calculation. The symbols +, -, *, and / are all operators, and they have the same meaning they do in mathematics. Thus, 1+2 in R returns the value 3, just as you’d expect.

      One very handy operator is called sequence, and it looks like a colon (:). Type the following in your console:

      > 1:5

      [1] 1 2 3 4 5

      That’s more like it. With three keystrokes, you’ve generated a vector with the values 1 through 5. To calculate the sum of this vector, type into your console:

      > sum(1:5)

      [1] 15

      While quite basic, this example shows you that using vectors allows you to do complex operations with a small amount of code. As vectors are the smallest possible unit of data in R, you get to work with vectors extensively in later chapters.

Storing and calculating values

      Using R as a calculator is very interesting but perhaps not all that useful. A much more useful capability is storing values and then doing calculations on these stored values. Try this:

      > x <– 1:5

      > x

      [1] 1 2 3 4 5

      In these two lines of code, you first assign the sequence 1:5 to an object called x. Then you ask R to print the value of x by typing x in the console and pressing Enter.

      

In R, the assignment operator is <-, which you type in the console by using two keystrokes: the less-than symbol (<) followed by a hyphen (-). The combination of these two symbols represents assignment. It's good practice to always surround the <- with spaces. This makes your code much easier to read and understand.

      In addition to retrieving the value of a variable, you can do calculations on that value. Create a second variable called y, and assign it the value 10. Then add the values of x and y, as follows:

      > y <– 10

      > x + y

      [1] 11 12 13 14 15

      The values of the two variables themselves don’t change unless you assign a new value to either of them. You can check this by typing the following:

      > x

      [1] 1 2 3 4 5

      > y

      [1] 10

      Now create a new variable z, assign it the value of x + y, and print its value:

      > z <– x + y

      > z

      [1] 11 12 13 14 15

      Variables also can take on text values. You can assign the value "Hello" to a variable called h, for example, by presenting the text to R inside

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