R Programming Assignment Help

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    R Programming Assignment Help

    Are you searching for assistance with your R Programming assignment? Plagfree.com is a highly rated website that offers R Programming Homework Help, including error-free and well-commented solutions, to students of all levels, from school to university. They also provide R Programming Coursework Help and help with real-time R Programming projects.

    What is R Programming?

    R is a programming language and software environment for statistical computing and graphics. It is widely used among statisticians and data miners for developing statistical software and data analysis. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. R is an open-source software, and users can write new R functions, and can easily access the functionality of R packages contributed by others. R is also a popular choice for data visualization and reporting.

    Here are some popular tools and libraries used in R programming:

    1. RStudio: An integrated development environment (IDE) for R, which makes it easier to write and run R code.
    2. ggplot2: A data visualization library that allows users to create highly customizable and expressive graphics.
    3. dplyr: A data manipulation library that provides a simple and efficient way to manipulate data frames.
    4. tidyr: A library for tidying messy data, making it easy to reshape and restructure data for analysis.
    5. caret: A library for training and evaluating machine learning models.
    6. Shiny: A web application framework for building interactive web applications using R.
    7. lubridate: A library for working with dates and times in R.
    8. stringr: A library for working with strings, providing a number of useful functions for manipulating and searching strings.
    9. MASS: A library for fitting and analyzing statistical models, including linear and nonlinear models.
    10. tidyr: A library for reshaping data, making it easy to reshape and restructure data for analysis.

    These are some of the popular R tools, but there are many more available, catering to a wide range of use cases and applications.

    By |2023-01-20T12:10:15+00:00January 20th, 2023|Categories: Uncategorized|0 Comments

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