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    R Programming/Using C or Fortran

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      R Programming


      • R Basics
        • Introduction75% developed  as of Sep 11, 2009
        • Sample Session100% developed  as of Jul 16, 2010
        • Manage your workspace50% developed  as of July 22 2011
        • Settings75% developed  as of May 20, 2011
        • Packages75% developed  as of July 22, 2011
        • Documentation75% developed  as of Sep 11, 2009
        • Control Structures75% developed  as of July 22 2011
        • Working with functions50% developed  as of July 22 2011
        • Debugging50% developed  as of August 19 2011
        • Using C or Fortran
        • Utilities0% developed  as of -
        • Estimation utilities0% developed  as of -
      • Data Management
        • Data types75% developed  as of July 22, 2011
        • Working with data frames25% developed  as of Sep 11, 2009
        • Importing and exporting data25% developed  as of Sep 11, 2009
        • Text Processing75% developed  as of April 23, 2010
        • Times and Dates
      • Graphics75% developed  as of July 22, 2011
        • Grammar of graphics
      • Publication quality output25% developed  as of Sep 11, 2009
      • Descriptive Statistics75% developed  as of July 22 2011
      • Mathematics25% developed  as of Oct 4, 2009
        • Optimization25% developed  as of Sep 11, 2009
        • Probability Distributions75% developed  as of July 22 2011
        • Random Number Generation25% developed  as of Sep 11, 2009
      • Statistical Core Methods
        • Maximum Likelihood25% developed  as of Sep 11, 2009
        • Method of Moments
        • Bayesian Methods0% developed  as of Sep 11, 2009
        • Bootstrap0% developed  as of Sep 11, 2009
        • Multiple Imputation0% developed  as of Sep 11, 2009
        • Nonparametric Methods50% developed  as of Sep 11, 2009
      • Regression Models
        • Linear Models50% developed  as of Apr 28, 2010
        • Quantile Regression0% developed  as of Sep 11, 2009
        • Binomial Models0% developed  as of Sep 17, 2009
        • Multinomial Models0% developed  as of Sep 11, 2009
        • Tobit And Selection Models0% developed  as of Oct 4, 2009
        • Count Data Models0% developed  as of Sep 11, 2009
        • Duration Analysis0% developed  as of Sep 11, 2009
      • Time Series25% developed  as of July 22 2011
      • Factor Analysis25% developed  as of Sep 17, 2009
      • Classification
        • Ordination25% developed  as of Sep 11, 2009
        • Clustering0% developed  as of Sep 11, 2009
      • Network Analysis0% developed  as of Sep 11, 2009
      • High Performance Computing
        • Profiling R code0% developed  as of Jun 27, 2011
        • Parallel computing with R0% developed  as of Jun 27, 2011
      • Appendix
        • Sources
        • Index0% developed  as of Oct 25, 2010

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      For some tasks, R can be slow. In that case, it is possible to write a program in C or Fortran and to use it from R. This page is for advanced programmers only.

      • See wikiversity Connecting Fortran and R
      • Link C with R

      References

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      Last modified on 10 May 2011, at 08:51
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