R Training in Bangalore

R COURSE CONTENT

 R-Programming Language Course Content

Introduction and Overview of R Languages

Introduction to R

R as a language

Working with data in R

The R ecosystem

Why use R?

Getting started

Installation and setup

Packages

Data types

Character

Factor

Integer

Float

Date and time

Data structures

Vectors

Matrices

Lists

Data frames

Data handling

Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files

Exporting data to multiple formats

Handling data frames: filtering, sorting, merging

PLYR package for easy data manipulation

Functions

Commonly used built in functions

Writing user defined functions

Installing packages

Looping functions

The “apply” family of functions

Basic visualization

Basic statistics in R

Distributions

Testing

Modelling

Graphics in R

Graphics for exploratory data analysis

Standard graphic displays

The R environment

R in the cloud

Statistical analysis with R

Linear models

Generalized linear models

Advanced statistical modelling with R

Density estimation

Survival analysis

Classification

Clustering

Introduction to Writing R Packages

Integrating with other tools.

Tableau

Python

CPP

 

 

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R programming  Interview Questions