R Programming - Project based

You will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

This App is covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

That’s the power of the R programming, it is simple enough to learn as you go. All you need is data and a clear intent to draw a conclusion based on analysis on that data.

In fact, R is built on top of the language S programming that was originally intended as a programming language that would help the student learn to program while playing around with data.

R Programming - Project based Tutorials Point Application Include Topics :-

R Programming Basic Tutorials -

- Installation of R

- R Studio IDE

- R Advantages and Disadvantages

- R Packages

- Keywords in R Programming

- Operators in R

- R Functions

- Strings in R

- R Classes and Objects and more

R Statements and R Loops -

- R if Statement

- If-else statement

- R else if statement

- R Switch Statement

- R next Statement

- R Break Statement

- R For Loop

- R repeat loop

- R while loop and more

Data Structures in R -

- R Vector

- R Lists

- R Arrays

- R Matrix

- R Data Frame

- R factors and more

Data Interfaces and Data Visualization

- R CSV Files

- R Excel file

- R Binary File

- R JSON File

- R XML File

- R Database

- R Data Visualization

- R Pie Charts

- R Bar Charts

- R Box plot

- R Histogram

- R Line Graphs and more

R Regression -

- Linear Regression

- R-Multiple Linear Regression

- R Logistic Regression

- R Poisson Regression and more

R Statistics -

- R Normal Distribution

- Binomial Distribution

- R Classification

- R-Time Series Analysis

- R-Random Forest

- T-Test in R

- Chi-Square Test

- R v/s Python and more

R Practice Programs -

R Interview Questions and answer -

App Features :-

its completely Free.

Easy To Understand.

Very Small Size App.