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 `logical`

(`TRUE`

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 ...

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