In my introduction to R, I covered Lists and Vectors briefly, but I will offer a quick review of them.
Lists in R are collections of data. These data can be of any type. You can have numbers, letters, and booleans all in a single list if you so choose.
The most important things to remember about lists is that they store any data type and you create them using the syntax: list(data,data,…,data)
Vectors are a collection of like data types
Here I created 2 vectors – one numeric and one character
One thing to keep in mind with R is that unlike most programming languages – the indexes in R start at 1.
(1,3) — returns 1rst and 3rd element in vector
(1:3) — returns 1rst through 3rd element
A matrix is a multiple dimension vector. All columns must be same length and all elements must be same type.
You shape you matrix by providing row and column size(nrow = and ncol =). You can also name the columns and rows using dimnames=
syntax: matrix (vector, nrow=,ncol=, dimnames=)
Arrays allow you to build multi-dimensional arrays. In the example below, I build a 2 dimensional 3×4 array
A factor takes a vector and aggregates like items.
As you can see when I print the factor out, it shows all elements in the vector and provides a list of unique elements
nlevels() returns the number of unique elements.
summary() returns a list of the unique elements and a count of items in those elements.
Dataframes allow you to make a tabular table. Also, unlike matrices, the columns in a dataframe can contain different data types