An Object-Oriented Programming Language That Is Popular For Writing Apps R Online Training – Train to Work Programmatically With Statistics

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R Online Training – Train to Work Programmatically With Statistics

Statistics and graphs are basics in the field of data analysis. Many solutions today are achieved by observing patterns and associations in large volumes of data in real time. With increasing volumes and sophistication, one must be able to programmatically analyze statistical data. R is the one who comes as the solution.

What exactly is R?

R is a programming language and software environment that facilitates computing in a statistically adept manner with the help of graphics. It is a GNU project that was mainly written in C and FORTRAN. It is primarily a command line interface based language. However, with the growing popularity for graphical user interfaces, there are many available for use now.

Features

The statistical features provided are very intuitive. It includes various features such as modeling in non-linear format, modeling in linear format, time series analysis, object classification and categorizing into clusters, etc. Features can be easily extended through functions and extensions. A community called the R community is actively involved in contributing packages. You can write code in C, C++ and FORTRAN for computer intensive tasks. Using the static graphics provided, one can create publication quality graphics. Dynamic charts can be created using extensions.

R supports matrix arithmetic. It has a wide variety of data structures including scalars, vectors, arrays and data frames. Procedural programming with functions and object-oriented programming with generic functions is supported.

The formation

When it comes to learning the programming language, there are some prerequisites that must be met. One should possess basic knowledge of statistics on topics like t-test, chi-square test and regression. Knowing the difference between descriptive and inferential statistics is important. Prior programming knowledge is also required.

Objectives include mastering the use of the R console, R flow control, and data structures. You will also learn how to use vectored calculations. Knowing R functions, basic R graphics, installing R packages, exploring R documentation, learning to avoid pitfalls, using R for descriptive and inferential statistics, writing statistical models are also to be covered.

One could start with the history and overview of R, its advantages and disadvantages, installation steps and exploring the documentation. Then you can proceed to learn how to use the R Console, how to get help and explore the documentation, write and run scripts.

Proceeding to programming constructs with variables and data structures, data types and other basic programming constructs such as functions are next on the chart. One can move on to control flow, functions and branching.

After that, one must learn to handle built in data and read local data and web data. After that, it goes on to use the characteristics of inferential and descriptive statistics and regression models that are linear and non-linear.

Then one can learn the software aspect of the language like installing the software and its extensions. One also learns the graphics and labels and exports them.

RA online training has been facilitated in many centers. One of the pioneer statistical programming languages, R is widely used for research and development purposes.

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