R PROGRAMMING TRAINING

INTRODUCTION TO R

FUNCTIONS AND R PROGRAMMING

• Data Types
• Factors
• Numbers
• Attributes
• Entering Inputs
• Evaluation
• Printing
• Missing Objects
• Explicit Coercion
• Data Frame
• Objects

DATA MANAGEMENT

• Reading Data
• Writing data
• Reading data files with tables
• Files connection
• Reading lines of Text files

SORTING DATA

• MERGING DATA
• AGGREGATING DATA
• RESHAPING DATA

CONTROL STRUCTURES

• If
• For
• Repeat
• Next
• Return

WRITING FUNCTIONS

FUNCTION ARGUMENTS AND OPTIONS

LOOPS

• Lappy
• Tappy
• Split
• Mappy
• Apply

DATE AND TIME IN R

• Dates in R
• Times in R
• Operation on Dates and Time on R

GRAPHICS AND PLOTTING USING R

BASIC PLOTTING

• Creating a graph
• Density Plot
• Dot Plot
• Bar Plot
• Line charts
• Pie charts
• Box plot
• Scatter Plot
• Histogram
• Normal

ADVANCE PLOTTING

• Graphical Parameters
• Lattice graphs
• Combining Plot
• Ggplots graph
• Probability graphs
• Correlograms

SAVING PLOTS

SDEBUGGING TOOLS

• Trace
• Debug
• Recover

DEBUGGING TOOLS

• Creating Random Numbers
• Generating Random Numbers
• Random Sampling