Use parmfrowc33 to group the nine simulations

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Unformatted text preview: response variable height against the predictor variable diameter at breast height for the nine simulated nonlinear models. Use par(mfrow=c(3,3)) to group the nine simulations together. Hi = April 2, 2013 50 80 65 60 Lundqvist model Tree Height Exponential model Tree Height 170 190 Tree Height Gompertz model Tree Diameter Richards model Weibull model Schnute model 50 90 70 Tree Height 97 80 110 Tree Diameter Tree Height 10 20 30 40 50 60 99 101 10 20 30 40 50 60 Tree Diameter Tree Height 10 20 30 40 50 60 Tree Diameter Wykoff model Ratkovisky model Pearl and Reed, logistic model 20 90 60 Tree Height 60 60 Tree Diameter Tree Height 10 20 30 40 50 60 90 120 10 20 30 40 50 60 Tree Diameter Tree Height 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 Tree Diameter Tree Diameter Tree Diameter 2. Choose three of the above models and conduct a sensitivity analysis showing how model predictions change while γ 0 , γ 1 , and γ 2 are modified. I would present three figures for each of the three models and group them as above (i.e. use par(mfrow=c(3,3))) with a figure showing the change for each s...
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This note was uploaded on 09/09/2013 for the course BTRY 3020 taught by Professor Sullivan,p.j. during the Spring '09 term at Cornell.

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