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R Programming Training

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In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40% and an increasing number of organizations are using it in their day-to-day activities. Leverage the power of R by completing this free R online course today!

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.”

“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.”

In R you can enter each line of code at the prompt in a step-by-step approach. You may also save R programs as simple text files to open in a separate window so that you can enter multiple lines of code at once and save your commands. R is the most comprehensive statistical evaluation bundle to be had.It includes all of the same old statistical tests, fashions, and analyses, in addition to presenting a complete language for handling and manipulating records.


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New era and thoughts regularly seem first in R. R is a programming language and environment advanced for statistical evaluation through training statisticians and researchers. It reflects properly on a completely competent community of computational statisticians. R is now maintained via a center group of a few 19 builders, which include some very senior statisticians. The graphical capabilities of R are first-rate, supplying a totally programmable photographs language that surpasses maximum distinctive statistical and graphical programs. ˆ The validity of the R software is ensured via openly showedand comprehensive governance as documented for the us Food and Drug Administration (R Foundation for Statistical Computing, 2008). Because R is open supply, not like closed supply software program, it’s been reviewed by many internationally famend statisticians and computational scientists.

R is unfastened and open supply software, permitting anyone to apply and, importantly, to regulate it. R is licensed underneath the GNU General Public License, with copyright held by means of The R Foundation for Statistical Computing. R has no license restrictions (apart from making sure our freedom to use it at our very own discretion), and so we will run it anywhere and at any time, or even sell it below the conditions of the license. Anyone is welcome to offer malicious program xes, code improvements, and new packages, and the wealth of high-quality applications available for R is a testomony to this method to software program development and sharing.R has over 4800 programs to be had from a couple of repositories focusing on subjects like econometrics, statistics mining, spatial evaluation, and bio-informatics. R is go-platform. R runs on many working structures and different hardware. It is popularly used on GNU/Linux, Macintosh, and Microsoft Windows, jogging on both 32 and sixty four bit processors. R plays well with many different gear, uploading facts, as an instance, from CSV les, SAS, and SPSS, or at once from Microsoft Excel, Microsoft Access, Oracle, MySQL, and SQLite. It also can produce images output in PDF, JPG, PNG, and SVG codecs, and table output for LATEX and HTML. R has active consumer organizations in which questions may be asked and are regularly fast spoke back to, often by means of the very those who developed the surroundingsguide is 2nd to none. Have you ever tried getting aid from the core builders of a commercial supplier? New books for R (the Springer Use R! Collection) are rising, and there’s now a excellent library of books for the use of R.

Hye Infotech provides the best training on R Programming Training  in chennai. We arrange classes based on student feasible timings, to take online or classroom trainings in chennai. We are the Best R Programming Training  Institute in Chennai as far as R Programming Training  syllabus is concerned.

Course Objectives

  • Introduction to R
  • Define R
  • Functions of R
  • R Installation
  • Define R environment
  • R Help
  • R console and Editor
  • Describe R data structure
  • Define Variables in R
  • Define Scalars
  • Define Vectors
  • Define Matrices
  • Define List
  • Define Data frames
  • Using c, Cbind,Rbind, attach and detach functions in R
  • Define Factors
  • Importing data In R
  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Importing data from SAS
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing to files
  • Manipulating Data in R
  • Selecting rows/observations
  • Selecting columns/fields
  • Merging data
  • Relabelling the column names
  • Converting variable types
  • Data sorting
  • Data aggregation
  • Using functions in R
  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable
  • R Programming
  • While loop
  • If loop
  • For loop
  • Arithmetic operations
  • Charts and Plots
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs

Best R Programming Training:

Contact : + 91 9789143410 / 9789143421

Email : hyeinfotech@gmail.com

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