# >Data structures
In-class coding
Make a sequence from 0 to 100 in steps of 10.
Create a repetition of “yes” and “no” with 10 instance of each, alternating between the two. Then make one with 10 “yes” and then 10 “no”.
# >Add the argument n = 10 to head(mtcars). What does this do?
# >Extra coding practice
Vectors
Create a vector called dog_names with the values Bella, Daisy, and Max.
# >Create a vector called sex with the values Female, Male, and Male.
# >Use the index operator to print to console only Daisy and Max from dog_names.
# >Replace the Daisy entry with Luna and print dog_names to console.
# >Lists
Copy/paste and run this code: (mylist <- list(a = 1:4, b = c(4, 3, 8, 5), c = LETTERS[10:15], d = c("yes", "yes")))
# >Check the data types for each list element individually.
# >Check the data types for each list element with one command.
# >Combine list elements a and b into a single vector.
# >Data frames
Create a data frame called mydf with three columns: x, y, and z and five rows. For x assign any five numbers, for y assign any five character strings, and for z assign any five logical values.
# >Create a data frame called dogs that combines the dog_names and sex vectors and print to console.
# >Print to console just Luna’s row.
# >Print to console the number of rows in dogs.
# >