R is an open source programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. R is a GNU package R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. While R has a command line interface, there are several graphical front-ends available. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R can also be collaborated with other data management tools like excel, access, Oracle, sql server which makes it a powerful tool.

- What is R?
- Why R?
- Installing R
- R environment
- R console and Editor

- Variables in R
- Scalars
- Vectors
- Arrays
- Matrices
- List
- Data frames
- Using c, Cbind,Rbind, attach and detach functions in R
- Factors

- Reading Tabular Data files
- Reading CSV files
- Importing data from excel
- Importing data from XML Files
- Importing data from JSON Files
- Saving in R data
- Loading R data objects
- Writing to files
**Accessing database**

- Selecting rows/observations
- Selecting columns/fields
- Merging data
- Relabelling the column names
- Converting variable types
- Data sorting
- Data aggregation

- Commonly used Mathematical Functions
- Commonly used Summary Functions
- Commonly used String Functions
- User defined functions
- local and global variable

- While loop
- If
- For loop
- Arithmetic operations

- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing graphs

- Mean, Median & Mode
- Regression
- Distribution
- Analysis of Covariance
- Time Series Analysis
- Nonlinear Least Square
- Decision Tree
- Chi Square Tests

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