A basic concept in (statistical) programming is called a variable.
A variable allows you to store a value (e.g. 4) or an object (e.g. a function description) in R. You can then later use this variable's name to easily access the value or the object that is stored within this variable.
You can assign a value 4 to a variable my_var with the command
my_var <- 4
Over to you: complete the code in the editor such that it assigns the value 42 to the variable x in the editor. Click 'Submit Answer'. Notice that when you ask R to print x, the value 42 appears.
# Assign the value 42 to x
x <-
# Print out the value of the variable x
x
# Assign the value 42 to x
x <- 42
# Print out the value of the variable x
x
test_object("x", undefined_msg = "Make sure to define a variable `x`.",
incorrect_msg = "Make sure that you assign the correct value to `x`.")
success_msg("Good job! Have you noticed that R does not print the value of a variable to the console when you did the assignment? `x <- 42` did not generate any output, because R assumes that you will be needing this variable in the future. Otherwise you wouldn't have stored the value in a variable in the first place, right? Proceed to the next exercise!")
Look at how the value 4 was assigned to `my_variable` in the exercise's assignment. Do the exact same thing in the editor, but now assign 42 to the variable `x`.