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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

Introduction to the R language

Mathew Plucinski

University of Cambridge / UC Berkeley

what is it
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
Outline
  • Introduction to R Console
  • Basic arithmetic, working with vectors, and simple statistics
  • A more serious example – Gillespie Algorithm
stochastic discrete sir model2
Stochastic, Discrete SIR model

Infection

St,It,Rt

Recovery

stochastic discrete sir model3
Stochastic, Discrete SIR model

Infection

St,It,Rt

Recovery

stochastic discrete sir model4
Stochastic, Discrete SIR model

St-1,It+1,Rt

Infection

St,It,Rt

stochastic discrete sir model5
Stochastic, Discrete SIR model

St-1,It+1,Rt

Infection

St,It,Rt

Recovery

stochastic discrete sir model6
Stochastic, Discrete SIR model

St-1,It+1,Rt

Infection

St,It,Rt

Recovery

St,It-1,Rt+1

stochastic discrete sir model7
Stochastic, Discrete SIR model

St-1,It+1,Rt

Rate: λStIt

St,It,Rt

Rate: µIt

St,It-1,Rt+1

stochastic discrete sir model8
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)