Writing R programming assignment requires a thorough understanding of the complex statistical tools and techniques. Some students are not interested in learning the R Programming language. This is the main reason to complete the R programming assignment help within the given deadline.
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What is R Programming Language?
R- Programming is a language developed by Bell Laboratories. It is a freely available programming language. It is mainly developed for statistical computing and graphical representation. It is widely used by statisticians and data scientists as a major tool for conducting data mining and statistical data analysis. R is an implementation of S programming language. It also offers statistical techniques like Regression modeling, classical statistical tests, time-series analysis, data mining, classification, clustering etc.
R program is freely available under the General Public License. Its source code mainly written in C, Fortran, and R. it can run on a variety of platforms such us; UNIX, Linux, Windows, and Mac. It also allows you to interact with many data sources and statistical packages like SAS & SPSS. It plays an important role in the field of medicine, clinical trials and other research projects.
Features of R programming language
- R programming is a powerful tool for performing the virtual statistical computation. It saves time and produces error-free work.
- It has an efficient data handling and storage facility.
- R is an interpreted language. Its users don’t need a compiler to create a program from their code before using it.
- R is a vector-based language. It allows the users to perform multiple calculations and complex operations in a single command.
- It has an efficiency to run on a variety of operating systems like Windows, Macros, and UNIX as there are several graphical front-ends available.
- R programming language supports arrays, data frames, lists and matrix arithmetic.
- It is highly compatible with other programming languages including C++, Java,.Net and FORTRAN.
- R is essential in data science because of its flexibility in the field of statistics. It is normally used in biology, genetics as well as in statistics.
- It supports arrays, data frames, lists, and matrix arithmetic.
Some of the achievable career aspects in R programming:
- Programming Manager
- Object-Oriented Programmer
- Data Analyst and Programmer
- System Programming Specialist
- Biosimilar Program Manager
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