Description
In this course, you will :
- The fundamentals and progress to more advanced concepts like exception handling.
- Enter R, arguably the most well-known data analysis language. It's been around for a long time because of its robust statistical functionality, excellent graphing capabilities, and package extensibility.
- You up to speed quickly and does not require any prior knowledge of R.
- Able to write detailed, useful code in R on your own.
Syllabus :
1. Variables
- Data Types
- Basic Methods for Handling Variables
- All About Strings
- Difference Between print() and cat()
2. Exploring R Objects
- Vectors
- Lists
- Arrays
- Matrices
- Data Frames
- Factors
3. R Operators and Notation
- Arithmetic Operators
- Relational Operators
- Logical Operators
4. Conditional Statements
- if Statements
- if...else Statements
- R ifelse()
- switch Statements
5. Loops
- while Loops
- for Loops
- repeat Loops
6. Functions
- Creating Functions
- Returning from a Function
- Returning from a Function
- Solution Review: Returning from a Function
- Nested Functions
- Recursion
7. Input/Output
- Entering Data from the Keyboard
- Handling TXT files
- Exercise 16: Handling TXT files
- Solution Review: Handling TXT files
- Handling CSV files
8. Exception Handling
- Introduction to Exception Handling
- Try Catch
- Exercise 18: Try Catch
- Solution Review: Try Catch
- Other Methods for Exception Handling

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