**Milano R net**, and kindly contributed to R-bloggers)

Milano R net, in collaboration with Quantide, organizes

**Course “Introduction to R”**

June 7-8, 2012

**Course goals**

The course aims to provide an overview of the basic R environment and its applications. This course is intendended as a starting point for any future development with R.

At the end of the course, you will be able to gain awareness of the basic R language, importing/exporting data and manipulate data using R. You will do exploratory data analysis, perform basic statistics and build plots using R.

**Who should attend this course**

Anyone who is new to R and willing to learn it. Anyone who has some previous knowledge of R and wants to organize it in a more structured way.

**Course location
**Hotel Michelangelo; Via Scarlatti, 33; Milano (near Central Railway Station)

**Course language**

Course will be held in Italian. Course material will be in English.

**Information and bookings**: [email protected]

**Course syllabus**

**Introduction to R: overview**- R History
- R Features
- R Commercial Support
- Installing and Updating R
- Graphical User Interfaces
- R Resources: Help, Online Resources, Books

**R Data Objects**- Vectors
- Matrices
- Lists
- Factors
- Data frames
- Missing Values and Infinite

**Data Import And Export**- Importing and Exporting Text Files
- Importing and Exporting Excel Files
- Data Base Connection
- Saving and Loading R Files

**Data Management**- Assigning Names to Rows and Columns of Data Frames
- Extracting Data from Data Frames
- Sorting Data Frames: order()
- Attaching Data Frames: attach()
- Adding or Removing Columns from a Data Frame
- Merging Data Frames: merge()
- Combining Data Frames: rbind()
- Reshaping Data: reshape()
- Aggregating Data Frames: apply() and aggregate()

**Using R functions**- Basic Mathematical Functions
- Character Manipulation Functions
- Apply functions to a Data Frame: apply family
- Basic Probabilistic Function
- Basic Statistics Function
- Writing a Function

**R Graphics**- The Graphics Environment
- Scatter Plot
- Low-level Functions
- Histograms, Barplot, Boxplot and Three Dimensional Plots
- Introduction to Alternative Graphic Systems: lattice and ggplot

**Introduction to Statistical Models with R**- Linear Regression Models
- ANOVA Models

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**Milano R net**.

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