Re: [R] Is this a mistake in 'An Introduction to R'?

Peter I see there is no mistake. The phrase about the 'number of parameters' confused me, it is a little ambiguous. Many thanks for taking the time to help me. Geoff > On 5 Mar 2014, at 11:20, "Peter Dalgaard-2 [via R]" > wrote: > > > On 04 Mar 2014

[R] Is this a mistake in 'An Introduction to R'?

SE (which is the RSS) get multiplied by the number of parameters? I have read through explanations of the method for obtaining the SE but I don't see where the MSE gets multiplied by the number of parameters or why this is needed as shown in the example? Thanks for any help! Geoff Loveman Tec

[R] Product of MSE and number of parameters when generating covariance matrix for Nonlinear least squares?

Hi! In 'An Introduction to R', section 11.7 on nonlinear least squares fitting, the following example is given for obtaining the standard errors of the estimated parameters: "To obtain the approximate standard errors (SE) of the estimates we do: > sqrt(diag(2*out$minimum/(length(y) - 2) * so