+Start the R interpreter and print the string "hello world"

+Create a function called hello.world that does what you did manually

+in the previous exercise.

+* create an anonymous version of the same function

+* use Google to figure out what R's rules are for naming variables and functions

+Create a variant of the previous function that accepts a `name`

+parameter and prints "Hello Mary", "Hello Lamb", etc.

+Hint: you'll need to figure out how to concatenate/join strings

+* hello(name) with a default argument

+Give the `name` argument a default value.

+* create a `vector` of the following strings and assign it to a variable

+"Mary", "had", "a", "little", "lamb"

+* use help.search to find a function that can convert each element in that vector to uppercase

+* find a function that will give you the length of the vector

+* figure out the syntax to get the third element in the vector

+* create a function that applies another function to each element in a vector

+* find a function that will create a sequence of integers

+This is like the `range` function in Python.

+* use that function and the `matrix` function to create a 4 x 5 matrix of the first 20 natural numbers

+* figure out the syntax to get the matrix element at row 2, col 3

+* multiply every element in the matrix by 3

+* find a function that gives you the dimensions of the matrix

+* convert this matrix to a vector

+* create a Boolean matrix of the same size

+... that indicates whether the elements in our first matrix are > 13

+* use the Boolean matrix to take a subset of our first matrix

+... where the condition is true

+... and where it is false

+* what is the type of the subset

+* figure out how to create a random sample of 100 integers

+* take a random sample of five elements from your first matrix

+* find the built-in dataset `swiss` and the help information about it

+* what are the `type`, `dimensions`, `structure`, and `dimension names` of this dataset

+* figure out how to access each column of this dataset individually

+* show the first and last six elements of this dataset

+hint: there are built in functions that will do this for you