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

# Problem Statement
Using data from the file `data.txt` that contains a list of numbers, write a file that tells whether the number at each line is an **even** number or an **odd** number.

## Input
A file named `data.txt` that contains a list of numbers.

## Output
A file names `output/outData.txt` that has **even** or **odd** written for each number of the input file.

## Sample Input

A file `data.txt` that looks like this:
```
1
2
3
```

## Sample Output

A file `output/outData.txt` that looks like this:
```
odd
even
odd
```
## Test Yourself
Write your code in the given area. If you get stuck, you can look at the solution.

Let's test your ability to handle .txt files.



Exercise 15: Handling TXT files

Let's test your ability to handle .txt files.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Exercise 16: Handling TXT files

Problem Statement