R Language

R Language Training Content



    R OVERVIEW
  •  Evolution of R
  •  Features of R
  • R is a programming language hence called a scripting language and software environment designed for statistical computing and graphics. R language is derived from the S programming language and was developed by Ross Ihaka and Robert Gentleman. R is an open-source programming language and provides a mixture of programming standards. It also supports object-oriented features where data and functions are summarized inside classes and also functional programming wherein functions are first-class objects and you treat them like any other variable. This mixture of programming standards tells that R is both flexible and powerful. R is the most popular programming language for learning Data Science and it is providing various types of jobs in the Data Science Industry.
    R programmers are most in-demand in the areas like:

    • Banks
    • Financial Sectors
    • Health Organizations
    • Manufacturing Companies


    Also, R programmers are in-demand, especially in emerging start-ups. Some of the positions available for R programmers:-

    • Data Analyst
    • Data Scientist
    • Business Analyst
    • Quantitative Analyst
    • Data Visualization Expert

    AppTechnoServices is a leading software training institute providing software training with real-time project activities. AppTechnoServices is here if you are searching for the best institute for learning the R language course in Delhi NCR. We have well experienced professional trainers who have 5 plus years of experience. Our trainers also support the students for the preparation of their resume and interviews. AppTechnoServices offers classroom training, online training, and corporate training services. Our fee structure is very moderate as compared to others. We provide a 100% job placement guarantee with the certification of R Language Training.

    R BASIC SYNTAX
  •  R Command Prompt.
  •  R Script File
  •  Comments
  • R DATA TYPES
  •  Vectors
  •  Lists
  •  Matrices
  •  Arrays
  •  Factors
  •  Data Frames
  • R VARIABLES
  •  Variable Assignment
  •  Data Type of a Variable .
  •  Finding Variables
  •  Deleting Variables
  • R OPERATORS
  •  Types of Operators
  •  Arithmetic Operators
  •  Relational Operators
  •  Logical Operators
  •  Assignment Operators.
  •  Miscellaneous Operators
  • R DECISION MAKING
  •  R - If Statement
  •  R If...Else Statement .
  •  The if...else if...else Statement
  •  R Switch Statement
  • R LOOPS
  •  R - Repeat Loop
  •  R - While Loop
  •  R For Loop
  •  Loop Control Statement
  •  R Break Statement
  •  R Next Statement.
  • R FUNCTION
  •  Function Definition
  •  Function Components
  •  Built-in Function
  •  User-defined Function
  •  Calling a Function
  •  Lazy Evaluation of Function
  • R STRINGS
  •  Rules Applied in String Construction
  •  String Manipulation
  • R VECTORS
  •  Vector Creation
  •  Accessing Vector Elements
  •  Vector Manipulation
  • R LISTS
  •  Creating a List
  •  Naming List Elements
  •  Accessing List Elements
  •  Manipulating List Elements
  •  Merging Lists
  •  Converting List to Vector
  • R MATRICES
  •  Accessing Elements of a Matrix
  •  Matrix Computations
  • R ARRAYS
  •  Naming Columns and Rows
  •  Accessing Array Elements
  •  Manipulating Array Elements
  •  Calculations Across Array Elements
  • R FACTORS
  •  Factors in Data Frame
  •  Changing the Order of Levels
  •  Generating Factor Levels
  • R DATA FRAMES
  •  Extract Data from Data Frame
  •  Expand Data Frame
  • R PACKAGES
    R DATA RESHAPING
  •  Joining Columns and Rows in a Data Frame
  •  Merging Data Frames
  •  Melting and Casting
  •  Melt the Data
  •  Cast the Molten Data
  • R CSV FILES
  •  Getting and Setting the Working Directory
  •  Input as CSV File.
  •  Reading a CSV File
  •  Analyzing the CSV File
  •  Writing into a CSV File
  • R EXCEL FILE
  •  Install xlsx Package
  •  Verify and Load the "xlsx" Package
  •  Input as xlsx File
  •  Reading the Excel File.
  • R BINARY FILES
  •  Writing the Binary File
  •  Reading the Binary File
  • R XML FILES
  •  Input Data
  •  Reading XML File
  •  Details of the First Node
  •  XML to Data Frame
  • R JSON FILE
  •  Install rjson Package
  •  Input Data
  •  Read the JSON File
  •  Convert JSON to a Data Frame
  • R WEB DATA
    R DATABASES
  •  RMySQL Package
  •  Connecting R to MySql
  •  Querying the Tables
  •  Query with Filter Clause
  •  Updating Rows in the Tables
  •  Inserting Data into the Tables
  •  Creating Tables in MySql
  •  Dropping Tables in MySql
  • R PIE CHARTS
  •  Pie Chart Title and Colors
  •  Slice Percentages and Chart Legend
  •  3D Pie Chart
  • R BAR CHARTS
  •  Bar Chart Labels, Title and Colors
  •  Group Bar Chart and Stacked Bar Chart
  • R BOXPLOTS
  •  Creating the Boxplot
  •  Boxplot with Notch
  • R HISTOGRAMS
  •  Range of X and Y values
  • R LINE GRAPHS
  •  Line Chart Title, Color and Labels
  •  Multiple Lines in a Line Chart
  • R SCATTERPLOTS
  •  Creating the Scatterplot
  •  Scatterplot Matrices
  • R MEAN, MEDIAN & MODE
  •  Mean
  •  Applying Trim Option
  •  Applying NA Option
  •  Median
  •  Mode
  • R LINEAR REGRESSION
  •  Steps to Establish a Regression
  •  lm() Function
  •  predict() Function
  • R MULTIPLE REGRESSION
  •  lm() Function
  • R LOGISTIC REGRESSION
  •  Create Regression Model
  • R NORMAL DISTRIBUTION
  •  dnorm()
  •  pnorm()
  •  qnorm()
  •  rnorm()
  • R BINOMIAL DISTRIBUTION
  •  dbinom()
  •  pbinom()
  •  qbinom()
  •  rbinom()
  • R POISSON REGRESSION
    R ANALYSIS OF COVARIANCE
    R TIME SERIES ANALYSIS
  •  Different Time Intervals
  •  Multiple Time Series
  • R NONLINEAR LEAST SQUARE
    R DECISION TREE
  •  Install R Package
  • R RANDOM FOREST
  •  Install R Package
  • R SURVIVAL ANALYSIS
    R CHI SQUARE TEST