r programming language tutorial

R Programming Tutorial

R Tutorial : In this Programming Tutorial, we explain everything about linear and nonlinear modelling, data analysis, and time-series analysis with great extent. It’s easy coding, wide number of packages, and Free software is making data scientists crazy about R programming language.

R is a programming language provides a software environment for graphics, and statistical computing, data sciences, and machine learning. R Programming provides a wide variety of graphical techniques, and in this tutorial we will explain most of them.

Introduction to R Programming Tutorial

  1. Software Download
  2. Install Software
  3. Download and Install Studio
  4. Install packages

R Tutorial on Operators

  1. Arithmetic Operators
  2. Comparison Operators
  3. Logical Operators

R Tutorial on Decision Making & Loops

Loops are helpful to execute a fixed number of lines for number of times. The control structures allows us to control the execution flow of a series of statements or expressions. Based on the condition or input, control structures will respond by executing the expressions.

The following R programming tutorial explains the loops, and the decision making statements with practical example.

  1. If Statement
  2. If Else Statement
  3. Nested If Else Statement
  4. Else If Statement
  5. Switch Statement
  6. Break Statement
  7. Next Statement
  8. While Loop
  9. For Loop
  10. Repeat Loop

R Programming Objects

R tutorials about objects because this Programming always works with objects. The following list are the available objects in R programming to work with data.

  1. Vectors
  2. Matrix
  3. Arrays
  4. Lists
  5. Data Frame

Learn R Data Sources

  1. Create ODBC Connection
  2. Create SQL Server Native Client 11.0 Connection
  3. Read Data from SQL Server
  4. Read Data from CSV File
  5. Import Data From Text File using read.table

R tutorial on Charts & Graphs

This section of R programming tutorial explains about the graphs and charts available to visualise data.

  1. Bar Chart
  2. Stacked & Clustered Bar Chart
  3. Pie Chart
  4. Scatter Plot
  5. Histogram
  6. Boxplot
  7. Stem and Leaf Plot
  8. Mosaic Plot

Learn R ggplot2

  1. ggplot2 Boxplot
  2. ggplot2 Density Plot
  3. ggplot2 Dot Plot
  4. ggplot2 Histogram
  5. ggplot2 Jitter
  6. ggplot2 Line Plot
  7. ggplot2 Scatter Plot
  8. ggplot2 Violin Plot
  9. Save ggplot

Lattice

  1. Lattice Histogram
  2. Lattice Scatter Plot
  3. Lattice Bar Chart

Learn about R Functions

  1. Introduction to Functions
  2. Recursive Functions

Learn R Math Functions

  1. abs
  2. sqrt
  3. ceiling
  4. floor
  5. round

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