Concepteur: Krisht Tech. (12)
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Description

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.
plus ↓

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  • Version: 1.9
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