The fundamental R data structure is the vector, which stores an ordered set of values called elements. A vector can contain any number of elements. However, all the elements must be of the same type; for instance, a vector cannot contain both numbers and text.
There are several vector types commonly used in machine learning:
integer (numbers without decimals),
numeric (numbers with decimals),
character (text data), or
FALSE values). There are also two special values:
NULL, which is used to indicate the absence of any value, and
NA, which indicates a missing value.
It is tedious to enter large amounts of data manually, but simple vectors can be created by using the combine function
c(). The vector can also be given a name ...