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R language Training in Hyderabad

What is R?

R is a programming language developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithm, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational task, C, C++ and Fortran codes are preferred.

R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.

Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results

 

Course Content

R training

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15,000
  • 20 students
  • Duration : 40days
  • Hours : 40
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Monday07:00 AM TO 10:00 PM
Tuesday07:00 AM TO 10:00 PM
Wednesday07:00 AM TO 10:00 PM
Thursday07:00 AM TO 10:00 PM
Friday07:00 AM TO 10:00 PM
Saturday07:00 AM TO 10:00 PM
Sunday07:00 AM TO 10:00 PM

Decision making is an important part of programming. This can be achieved in R programming using the conditional if...else statement.

R ifelse() Function

In this article, you’ll learn about ifelse() function. This is a shorthand function to the traditional if…else statement.

Vectors form the basic building block of R programming.

Most of the functions in R take vector as input and output a resultant vector.

This vectorization of code, will be much faster than applying the same function to each element of the vector individually.

Similar to this concept, there is a vector equivalent form of the if…else statement in R, the ifelse() function.

R for Loop

Loops are used in programming to repeat a specific block of code. In this article, you will learn to create a for loop in R programming.

R while Loop

Loops are used in programming to repeat a specific block of code. In this article, you will learn to create a while loop in R programming.

R break and next Statement

In this article, you’ll learn about break and next statements in R programming. You’ll learn their syntax and how they work with the help of examples.

R Functions

In this article, you’ll learn everything about functions in R programming; how to create them, why it is used and so on.

Functions are used to logically break our code into simpler parts which become easy to maintain and understand.

It’s pretty straightforward to create your own function in R programming.

R Return Value from Function

In this article, you’ll learn to return a value from a function in R. You’ll also learn to use functions without the return function.

R Environment and Scope

In this article, you’ll learn about the environment (global environment, cascading of environments and so on) in R programming. You will also learn about scope of variables with the help of examples.

R Recursive Function

A function that calls itself is called a recursive function and this technique is known as recursion.

This special programming technique can be used to solve problems by breaking them into smaller and simpler sub-problems.

 

 

R Vector

In this article, you’ll learn about vector in R programming. You’ll learn to create them, access their elements using different methods, and modify them in your program.

Vector is a basic data structure in R. It contains element of the same type. The data types can be logical, integer, double, character, complex or raw.

A vector’s type can be checked with the typeof() function.

Another important property of a vector is its length. This is the number of elements in the vector and can be checked with the function length().

R Matrix

In this article, you will learn to work with matrix in R. You will learn to create and modify matrix, and access matrix elements.

Matrix is a two dimensional data structure in R programming.

Matrix is similar to vector but additionally contains the dimension attribute. All attributes of an object can be checked with the attributes() function (dimension can be checked directly with the dim() function).

R Lists

In this article, you will learn to work with lists in R programming. You will learn to create, access, modify and delete list components.

List is a data structure having components of mixed data types.

A vector having all elements of the same type is called atomic vector but a vector having elements of different type is called list.

R Data Frame

In this article, you’ll learn about data frames in R; how to create them, access their elements and modify them in your program.

Data frame is a two dimensional data structure in R. It is a special case of a list which has each component of equal length.

 

R Classes and Objects

R has 3 classes. In this article, you’ll be introduced to all three classes (S3, S4 and reference class) in R programming.

We can do object oriented programming in R. In fact, everything in R is an object.

An object is a data structure having some attributes and methods which act on its attributes.

Class is a blueprint for the object. We can think of class like a sketch (prototype) of a house. It contains all the details about the floors, doors, windows etc. Based on these descriptions we build the house.

R S3 Class

In this article, you will learn to work with S3 classes (one of the three class systems in R programming).

S3 class is the most popular and prevalent class in R programming language.

Most of the classes that come predefined in R are of this type. The fact that it is simple and easy to implement is the reason behind this.

R Reference Class

In this article, you will learn to work with reference classes in R programming which is one of the three class systems (other two are S3 and S4).

Reference class in R programming is similar to the object oriented programming we are used to seeing in common languages like C++, Java, Python etc.

Unlike S3 and S4 classes, methods belong to class rather than generic functions. Reference class are internally implemented as S4 classes with an environment added to it.

R Bar Plot

In this article, you will learn to create different types of bar plot in R programming using both vector and matrix.

Bar plots can be created in R using the barplot() function. We can supply a vector or matrix to this function. If we supply a vector, the plot will have bars with their heights equal to the elements in the vector.

R Histograms

In this article, you’ll learn to use hist() function to create histograms in R programming with the help of numerous examples.

Histogram can be created using the hist() function in R programming language. This function takes in a vector of values for which the histogram is plotted.

R Pie Chart

In this article, you’ll learn to create pie chart in R programming using the pie() function. You’ll also learn to label them and color them.

R Plot Color

In this article, you’ll learn about colors in R programming. More specifically, different colors names used in R, plots using color HEX and RGB values, and built-in color palettes in R.

We can visually improve our plots by coloring them. This is generally done with the col graphical parameter.

We can specify the name of the color we want as a string. Let us look at an example

The most used plotting function in R programming is the plot() function. It is a generic function, meaning, it has many methods which are called according to the type of object passed to plot().

In the simplest case, we can pass in a vector and we will get a scatter plot of magnitude vs index. But generally, we pass in two vectors and a scatter plot of these points are plotted.

Saving a Plot in R

In this article, you’ll learn to save plots in R programming. You’ll learn to save plots as bitmap and vector images.

All the graphs (bar plot, pie chart, histogram, etc.) we plot in R programming are displayed on the screen by default.

We can save these plots as a file on disk with the help of built-in functions.

It is important to know that plots can be saved as bitmap image (raster) which are fixed size or as vector image which are easily resizable.

R 3D Plot

In this article, you will learn to create 3D plots. Also, you will learn to add title, change viewing direction, and add color and shade to the plot.

There are many functions in R programming for creating 3D plots. In this section, we will discuss on the persp() function which can be used to create 3D surfaces in perspective view.

Explore Data Introduction 

Remove Missing and Invalid Values (NA and NaN) 

Merging Data 

Subset Data 

Sort Data 

Fixing Date and Time Issues

Introduction to dplyr 

Install dplyr 

Select Data Using dplyr 

Filter Data Using dplyr 

Arrange & Rename Data 

Merge Data Using dplyr 

Mutate Data Using dplyr 

Mutate Data Using dplyr 

Group Data Using dplyr 

dplyr Pipeline Operator

Introduction to Visualizing Data 

Graphs 

Scatter Plot 

Box Plot 

Histogram 

Using GGPlot to Visualize Data

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