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

## Solution: Using a Combination of `if` and `else`


testVariable <- 45

if(testVariable %% 3 == 0 && testVariable %% 5 == 0)
{
  cat("foo bar")
} else {
  if(testVariable %% 3 == 0)
  {
    cat("foo")
  }
  if(testVariable %% 5 == 0)
  {
    cat("bar")
  }
}

if(testVariable %% 3 == 0 && testVariable %% 5 == 0)
{
  cat("foo bar")
} else {
  if(testVariable %% 3 == 0)
  {
    cat("foo")
  }
  if(testVariable %% 5 == 0)
  {
    cat("bar")
  }
}

### Explanation
We first check whether the `testVariable` is a multiple of both $3$ and $5$. For this, we use an `if` condition 
```
testVariable %% 3 == 0 && testVariable %% 5 == 0
```
The modulus sign `%%` helps us figure out whether the `testVariable` is a multiple of the number. The remainder after division of `testVariable` with $3$ would be $0$ if it is a multiple of $3$. The remainder after division of `testVariable` with $5$ would also be $0$ if it is a multiple of $5$. 

We then **AND** the results of both the tests.

If this condition is not satisfied, we move towards the `else` block. In the else block we have two more `if` conditions: one for only multiple of $3$ and one for checking only multiple of $5$.

# Solution: Using a Combination of `if` and `else`


## Explanation
We first check whether the `testVariable` is a multiple of both $3$ and $5$. For this, we use an `if` condition 
```
testVariable %% 3 == 0 && testVariable %% 5 == 0
```
The modulus sign `%%` helps us figure out whether the `testVariable` is a multiple of the number. The remainder after division of `testVariable` with $3$ would be $0$ if it is a multiple of $3$. The remainder after division of `testVariable` with $5$ would also be $0$ if it is a multiple of $5$. 

We then **AND** the results of both the tests.

If this condition is not satisfied, we move towards the `else` block. In the else block we have two more `if` conditions: one for only multiple of $3$ and one for checking only multiple of $5$.

In this review, we provide a detailed analysis of the solution to this problem.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Solution Review: if/else Statements

Solution: Using a Combination of `if` and `else`

Explanation