Technopedia Solutions provides professional training in R-Programming with its interactive training program. R is a language and environment for statistical computing and graphics.
Technopedia Solutions provides professional training in R-Programming with its interactive training program. R is a language and environment for statistical computing and graphics.
It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
The R Environment:
The term “environment” is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software.
R, like S, is designed around a true computer language, and it allows users to add additional functionality by defining new functions. Much of the system is itself written in the R dialect of S, which makes it easy for users to follow the algorithmic choices made. For computationally-intensive tasks, C, C++ and Fortran code can be linked and called at run time. Advanced users can write C code to manipulate R objects directly.
Many users think of R as a statistics system. We prefer to think of it of an environment within which statistical techniques are implemented. R can be extended (easily) via packages. There are about eight packages supplied with the R distribution and many more are available through the CRAN family of Internet sites covering a very wide range of modern statistics.
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R Programming course is offered by SoftTech Computer Training Institute. R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.
Data Science with R course is offered by SICS ((Shah Institute Of Computer Science). SICS offers courses in diverse domains to college students, graduates and experienced working professionals. These courses enable individuals to get an unrivaled boost in their career graph.
R Programming course is offered by SSI Computer. We have a dedicated team of skilled teachers and counsellors who make sure that regular up-gradation of courses is provided to students along with career guidance.
Machine Learning with R is designed to provide a better and easy understanding of Machine Learning algorithms. R is one of the major languages for data science. It provides excellent visualization features, which is essential to explore the data before submitting it to any automated learning.
R is a free programming language basically used for Statistical Analysis, Scientific Research, and Data Visualization as well.It is widely used by statisticians, researchers, data analysts and marketers to retrieve, clean, analyze, visualize, and present data.
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