Kurs
Einführung in R
4 Std.
3M
If you want to take our free Intro to R course, here is the link.
Creating a list
Let us create our first list! To construct a list you use the function list():
my_list <- list(comp1, comp2 ...)
The arguments to the list function are the list components. Remember, these components can be matrices, vectors, other lists, ...
Instructions
Construct a list, named my_list, that contains the variables my_vector, my_matrix and my_df as list components.
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Creating a named list
Well done, you're on a roll!
Just like on your to-do list, you want to avoid not knowing or remembering what the components of your list stand for. That is why you should give names to them:
my_list <- list(name1 = your_comp1,
name2 = your_comp2)
This creates a list with components that are named name1, name2, and so on. If you want to name your lists after you've created them, you can use the names() function as you did with vectors. The following commands are fully equivalent to the assignment above:
my_list <- list(your_comp1, your_comp2)
names(my_list) <- c("name1", "name2")
Instructions
- Change the code of the previous exercise (see editor) by adding names to the components. Use for
my_vectorthe namevec, formy_matrixthe namematand formy_dfthe namedf. - Print out
my_listso you can inspect the output.
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Creating a named list (2)
Being a huge movie fan (remember your job at LucasFilms), you decide to start storing information on good movies with the help of lists.
Start by creating a list for the movie "The Shining". We have already created the variables mov, act and rev in your R workspace. Feel free to check them out in the console.
Instructions
Complete the code on the right to create shining_list; it contains three elements:
- moviename: a character string with the movie title (stored in
mov) - actors: a vector with the main actors' names (stored in
act) - reviews: a data frame that contains some reviews (stored in
rev)
Do not forget to name the list components accordingly (names are moviename, actors and reviews).
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If you want to learn more from this course, here is the link.
Check out our Data Types in R tutorial.
