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Implement the chi square test in R(statistic and programming language)

Über Implement the chi square test in R(statistic and programming language)

The R language is a project designed to make a free, open source language.In terms of current feature sets, given the Comprehensive R Archive Network (CRAN) library of packages, there are few statistical processes one can't get done in either R or SPSS.Both have spreadsheet-like GUI capabilities and both can interface with common relational databases. The final differentiator is cost. The basic version of R is open source, as are most of the packages in CRAN.The only cost is the bandwidth to download R and whatever packages you need. There is a commercial version of R from Revolution Analytics that's more highly tuned and has support and training included. R is software package especially suitable for data analysis and graphical representation. Functions and results of analysis are all stored as objects, allowing easy function modification and model building. R provides the language, tool, and environment in one convenient package.this work is implemented using R 2.13.1.Direct copy of this work by anyone is strictly prohibited.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783659246142
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 60
  • Veröffentlicht:
  • 14. September 2012
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 107 g.
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Beschreibung von Implement the chi square test in R(statistic and programming language)

The R language is a project designed to make a free, open source language.In terms of current feature sets, given the Comprehensive R Archive Network (CRAN) library of packages, there are few statistical processes one can't get done in either R or SPSS.Both have spreadsheet-like GUI capabilities and both can interface with common relational databases. The final differentiator is cost. The basic version of R is open source, as are most of the packages in CRAN.The only cost is the bandwidth to download R and whatever packages you need. There is a commercial version of R from Revolution Analytics that's more highly tuned and has support and training included. R is software package especially suitable for data analysis and graphical representation. Functions and results of analysis are all stored as objects, allowing easy function modification and model building. R provides the language, tool, and environment in one convenient package.this work is implemented using R 2.13.1.Direct copy of this work by anyone is strictly prohibited.

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