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What Is R Programming Language?
R is a programming language that possesses a wide range of statistical and graphical methods. The R programming language and software includes linear regression, machine learning algorithms, statistical inference, time series, and other several components. Most of the R programming language libraries are written in R. The heavy computational tasks are written using Fortran, C, and C++ codes.
R programming language is not only entrusted by academicians but also many large organizations and companies such as Facebook, Google, Uber, Airbnb, and so on. Below are a few features of this programming language:
- It is a clear and accessible programming tool
- It consists of a collection of libraries designed specifically for data science
- It can help statisticians investigate the data, refine a hypothesis, and analyze them
- It provides a wide range of tools to capture the right model for data
- Integrate codes, graphs, and outputs to a report
- You can run the R on various operating systems like Macros, Windows, and UNIX.
- R programming language also supports data frames, matrix arithmetic, arrays, and lists.
- It doesn't require a compiler to run the program.
- R programming language is compatible with other programming languages.
- It offers the most efficient data handling and storage facility.
- You can perform complex operations and multiple calculations using a single command in R.
As you can see, R is one of the most important programming languages which you need to master whether you are a student or professional. For more information about the R programming language, you can read an article published on guru99.com. Otherwise, if you have an R programming assignment that’s giving you sleepless nights, contact our academic writing experts to offer you R programming help.
Topics In Courses Covering Statistics In R That We Offer Help
Statistics implemented in R has become a popular choice for a wide variety of introductory courses to many disciplines including life sciences, medicine, computer science, bioinformatics, engineering, data science, and many others. Some of the most common topics in courses covering statistics in R programming language include:
- Model selection; information criterions
- Frequentist and Bayesian inference including confidence intervals and p-values
- Bayesian statistics
- Random variables including definition, programming examples in R
- Mayor continuous and discrete probability distribution functions
- Linear univariate and multivariate regression and modeling
- Statistical tests such as Chi-square test, Student's t-test, ANOVA, F-test,
- Analysis of variance
- Non-parametric statistics
- Data visualization techniques
- Exploratory Data Analysis (EDA)
- Basic Machine Learning concepts
Whatever topic in statistics that you want to ace using R programming, our experts are ready to provide you R programming help online. Our R programming experts come from different fields and can help in the topics we have highlighted above and many others. To get started, simply send us your “do my R programming assignment” request to receive a free quote from our customer support team.
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