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

A **Vector** is a basic data structure in R. It contains elements of the same type at each index. The data types can be 
* Logical
* Integer 
* Numeric 
* Character 
* Complex

## Creating Vectors
The keyword `vector()` is used to create a vector of a **fixed type** and **fixed length**.

vector ("numeric", 5) # numeric vector with O at every index

vector ("complex", 5) # complex vector with O+0i at every index

vector ("logical", 5) # logical vector with FALSE at every index

vector ("character", 5) # character vector with "" at every index

> Using this method every index will now have a value of **zero**, **FALSE**, **null string** or something equivalent to _nothing_ for the specified data type.

A vector’s type can be checked with `typeof()`, and the number of elements in the vector can be checked with `length()`.

We have already discussed these but let's see their usage with vectors again.

A **Vector** is a basic data structure in R. It contains elements of the same type at each index. The data types can be 
* Logical
* Integer 
* Numeric 
* Character 
* Complex

# Creating Vectors
The keyword `vector()` is used to create a vector of a **fixed type** and **fixed length**.

Here, we will learn what vectors 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

Vectors

Creating Vectors