Statistical Analysis with R

The digital world we live in has given companies and people access to staggering amounts of data, and anyone who can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

R, probably the most well-known language for data analysis, has been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive module will get us up to speed with R and assumes no prior knowledge of it. We'll start with the very basics and work our way up to advanced concepts like exception handling. By the time we're done, we'll be able to write detailed, useful code in R.

Learn R from Scratch

Both data structures (vectors and lists) are _one dimensional_ meaning they have only **length** and no other dimension.

On the plus side, arrays in R language can be **n-dimensional**. However, like **vectors**, arrays can store only values having the same data type. 

## Creating Arrays

In R, arrays can be created using the `array()` keyword. Inputs to `array()` include **concatenated vectors** and the `dim` argument for creating an array.

### Syntax for Creating Arrays
```r
array(<dataVectors>, dim = <vectorOfDimensions>)
```
Optionally, we can also provide names for each dimension!

Let's begin with making a simple two-dimensional array with one vector.

myVector <- c (1, 2, 3) # create a vector
myArray <- array (myVector, dim = c(3, 1))
print (myArray)

The dimensions of this array are $3x1$ where the number of rows is $3$ and the number of columns is $1$. This is also called a **single column matrix**. 

Notice the row and column labels that are displayed on the console by using `print()` with an array.

Both data structures (vectors and lists) are _one dimensional_ meaning they have only **length** and no other dimension.

On the plus side, arrays in R language can be **n-dimensional**. However, like **vectors**, arrays can store only values having the same data type. 

# Creating Arrays

In R, arrays can be created using the `array()` keyword. Inputs to `array()` include **concatenated vectors** and the `dim` argument for creating an array.

## Syntax for Creating Arrays
```r
array(<dataVectors>, dim = <vectorOfDimensions>)
```
Optionally, we can also provide names for each dimension!

Let's begin with making a simple two-dimensional array with one vector.

In this lesson, we will learn what arrays are in R and how to create them.



Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Arrays

Creating Arrays

Syntax for Creating Arrays