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Travis Nelson
    R is a programming language and software
     environment for statistical computing and
     graphics.
    R is an open source implementation of the S
     programming language (created 1975-76 at Bell
     Labs).
    Created in 1993
    Forbes: Names You Need to Know in 2011
    “R is the most powerful statistical computing
     language on the planet; there is no statistical
     equation that cannot be calculated in R.” –
     Steve McNally, Forbes
    R is the most popular statistical package at
     Google, according to Bo Cowgill, Google
     “The best thing about R is that it was
     developed by statisticians. The worst thing
     about R is that… it was developed by
     statisticians.” - Bo Cowgill, Google
    Rserve - TCP/IP server running within R
     which allows other programs to interface with
     R.
    Analysis of log files
    Creating pretty charts and graphs for
     management.
    Fun
    r-project.org
    Notepad with the R environment
    Revolutions Analytics – NOT FREE!!!
    StatET Eclipse Plugin
    RStudio!!!
R Data Analysis Software
R Data Analysis Software

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R Data Analysis Software

  • 2.
  • 3.   R is a programming language and software environment for statistical computing and graphics.   R is an open source implementation of the S programming language (created 1975-76 at Bell Labs).   Created in 1993
  • 4.
  • 5.
  • 6.   Forbes: Names You Need to Know in 2011   “R is the most powerful statistical computing language on the planet; there is no statistical equation that cannot be calculated in R.” – Steve McNally, Forbes
  • 7.   R is the most popular statistical package at Google, according to Bo Cowgill, Google   “The best thing about R is that it was developed by statisticians. The worst thing about R is that… it was developed by statisticians.” - Bo Cowgill, Google
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.   Rserve - TCP/IP server running within R which allows other programs to interface with R.
  • 18.   Analysis of log files   Creating pretty charts and graphs for management.   Fun
  • 19.   r-project.org
  • 20.   Notepad with the R environment   Revolutions Analytics – NOT FREE!!!   StatET Eclipse Plugin   RStudio!!!