1 Introduction
- 1.1 Advantage R
2 Looking Back
- 2.1 S
- 2.2 R
3 Install R
- 3.1 CRAN
- 3.2 R IDE
4 R Graphical User Interface
- 4.1 RGui
5 RStudio
- 5.1 RStudio IDE
6 Calculator
7 R Assignment Operator
8 R Object Assignment
9 R Object Names
- 9.1 Naming Rules
- 9.2 Examples
10 R Atomic Class
11 R Atomic Class: Integer
- 11.1 Examples
12 R Atomic Class: Double
- 12.1 Examples
13 R Atomic Class: Character
- 13.1 Examples
14 R Atomic Class: Logical
15 Atomic Class: Summary
- 15.1 R Atomic Class
- 15.2 Points to note
16 Vector: Numeric
17 Vector: Character
- 17.1 Example: Character vector
18 Vector: Logical
- 18.1 Example: Logical vector
19 Class Attribute
- 19.1 Attribute
- 19.2 Examples: Attribute
20 R Help
21 R Help Example
- 21.1 Help file
22 Function: Arguments
23 Vector: Index
24 Vector: Sampling from distributions
- 24.1 The Uniform Distribution
- 24.2 The Normal Distribution
25 Vector: Function sample
- 25.1 Random Samples and Permutations
26 Vector Operation: Mathematical Function
27 Vector Operation: Statistical Function
28 Vector: Implicit Coercion
- 28.1 Example: Implicit coercion
29 Vector: Explicit Coercion
- 29.1 Explicit coercion: as.*
- 29.2 Example: Explicit coercion
30 Vector: Nonsensical Coercion
- 30.1 Non-sensical coercion
- 30.2 Example: Nonsensical coercion
31 Missing values
32 Missing values: Operation
- 32.1 Example: Numeric vector
- 32.2 Example: Logical vector
33 Housekeeping Functions
34 Review Examples

An Introductory Course in R: Basics (Part 1)

Section 21 R Help Example

x <- c(2, 4, 6, 8, 10)
x
mean(x)

21.1 Help file

function_name{package_name}
function_name
Usage
Arguments
Value
References
See Also
Examples