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R Analytics

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.
-Waseem

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.
-Tanmoy

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