[R] nls question

[Prof Brian Ripley]

See ?nls.control (referenced from ?nls).

On 12/07/2012 18:47, Felipe Carrillo wrote:
>   Hi:
>   Using nls how can I increase the numbers of iterations to go beyond 50.
>   I just want to be able to predict for the last two weeks of the year.
>   This is what I have:
>
>   weight_random <- runif(50,1,24)
>   weight <- sort(weight_random);weight
> weightData <- data.frame(weight,week=1:50)
>                           weightData
> plot(weight ~ week, weightData)
> M_model <- nls(weight ~ alpha + beta*exp(gamma*week), weightData,
>                start = c(alpha = 0.0, beta = 1, gamma = 0.2), trace = TRUE)
>
> ### I get the error below:
> Error in nls(weight ~ alpha + beta * exp(gamma * week), weightData, start = c(alpha = 0,  :
>    number of iterations exceeded maximum of 50
>
>
> M_model
> ### predict for another 2 weeks
> newD <- data.frame(week = 1:52);newD
> newD$pred_wt <- predict(M_model, newD)
> newD
> plot(pred_wt ~ week, newD, pch = 4, col = "red", ylab = "Weight", xlab = "Week")
> with(weightData, points(week, weight,col='blue'))
>
>
> Felipe D. Carrillo
> Supervisory Fishery Biologist
> Department of the Interior
> US Fish & Wildlife Service
> California, USA
> http://www.fws.gov/redbluff/rbdd_jsmp.aspx
>
> 	[[alternative HTML version deleted]]
>
>
>
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>


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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