This document outlines the course content for an online R analytics training program. The 25 topics that will be covered include getting started with R, data types, reading and writing data, control structures, writing functions, debugging tools, plotting with base graphics and lattice, regular expressions, and simulation. The course aims to teach students the fundamentals of the R programming language and how to perform data analysis and visualization.

1. Contact:+91 7680813158.
http://www.a1trainings.com/onliner
analytictraining.php

2. COURSE CONTENT

3. Course content
1. Introduction
2. Setting working directory and getting help
(Mac)
3. Setting working directory and getting help
(Windows)
4. How to get help
5. Overview and history of R
6. Data Types
7. Subsetting
8. Vectorized Operations

4. 9.Reading/Writing Data: Part 1
10.Reading/Writing Data: Part 2
11.The ‘str’ function
12.Control Structures in R
13.Writing Functions
14.Scoping Rules for R
15.Optimization Application
16.The map function in R
17.Using tapply and split in R
18.Using the apply function in R
19.Using the lapply function in R

5. 20.Debugging tools in R
21.Plotting (base graphics)
22.Plotting with base graphics demo
23.Plotting with lattice
24.Plotting with lattice demo
25.Mathematical annotation in plots
26.Simulation in R
27.Plotting and color in R
28.Regular expressions