R Analytics

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Course Overview

R is a free software programming language and a software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. The striking difference between R and most other statistical packages is that it is free software and that it is maintained by scientists for scientists.

Course Content

Data mining using Statistical packages
A few concepts before starting

  • How R works
  • Creating, listing and deleting the objects in memory
  • The on-line help

Data with R

  • Objects
  • Reading data in a_le
  • Saving data
  • Generating data
    • Regular sequences
    • Random sequences
  • Manipulating objects
    • Creating objects
    • Converting objects
    • Operators
    • Accessing the values of an object: the indexing system
    • Accessing the values of an object with names
    • The data editor
    • Arithmetic and simple functions
    • Matrix computation

Graphics with R

  • Managing graphics
    • Opening several graphical devices
    • Partitioning a graphic
  • Low-level plotting commands
  • Graphical parameters
  • A practical example
  • The grid and lattice packages

Statistical analyses with R

  • A simple example of analysis of variance
  • Formulae
  • Generic functions
  • GLM
  • E1071
  • KSVM
  • KNN
  • Dimensionality reduction

Programming with R in practice

  • Loops and vectorization
  • Writing a program in R
  • Writing your own functions

Customer Reviews

Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.

Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional. I am quite satisfied with the course.


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