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Introduction to the R language

Introduction to the R language. Mathew Plucinski University of Cambridge / UC Berkeley. What is it. A free version of S+ Statistical programming Used extensively in computational biology, to a lesser extent in applied statistics, financial mathematics Interpretive language. Outline.

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Introduction to the R language

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  1. Introduction to the R language Mathew Plucinski University of Cambridge / UC Berkeley

  2. What is it • A free version of S+ • Statistical programming • Used extensively in computational biology, to a lesser extent in applied statistics, financial mathematics • Interpretive language

  3. Outline • Introduction to R Console • Basic arithmetic, working with vectors, and simple statistics • A more serious example – Gillespie Algorithm

  4. Stochastic, Discrete SIR model λI µ

  5. Stochastic, Discrete SIR model St,It,Rt

  6. Stochastic, Discrete SIR model Infection St,It,Rt Recovery

  7. Stochastic, Discrete SIR model Infection St,It,Rt Recovery

  8. Stochastic, Discrete SIR model St-1,It+1,Rt Infection St,It,Rt

  9. Stochastic, Discrete SIR model St-1,It+1,Rt Infection St,It,Rt Recovery

  10. Stochastic, Discrete SIR model St-1,It+1,Rt Infection St,It,Rt Recovery St,It-1,Rt+1

  11. Stochastic, Discrete SIR model St-1,It+1,Rt Rate: λStIt St,It,Rt Rate: µIt St,It-1,Rt+1

  12. Stochastic, Discrete SIR model St-1,It+1,Rt p=λStIt/(λStIt+ µIt) St,It,Rt St,It-1,Rt+1 p= µIt/(λStIt+ µIt)

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