Hello:
Below is a toy logistic regression problem. When I wrote my own code,
Newton-Raphson converged in three iterations using both the gradient
and the Hessian and the starting values given below. But I can't
get nlm() to work! I would much appreciate any help.
> x
[1] 10.2 7.7 5.1 3.8
Milos Zarkovic said the following on 2005-04-12 16:40:
I have recently started using R. For the start I have tried to
repeat examples from Milliken & Johnson "Analysis of
Messy Data - Analysis of Covariance", but I can not replicate
it in R. The example is chocolate chip experiment. Response
varia
Sorry for the long letter!
I have recently started using R. For the start I have tried to
repeat examples from Milliken & Johnson "Analysis of
Messy Data - Analysis of Covariance", but I can not replicate
it in R. The example is chocolate chip experiment. Response
variable vas time to dissolve cho
Exactly what rule has been broken when lme (package nlme) produces the
error message "Incompatible formulas for groups in random and
correlation"? Here is what I am trying to do:
lme(Y ~ trait-1, random = ~trait-1|sire,
corr = corSymm(form = ~trait|cow))
Trait, sire and cow are factors (cow n
I am analyzing data on a study of the effects of Coronary Artery Bypass
Graft (CABG) on cognitive function, as measured by a score from an
objective test. I have 140 people who receive the CABG surgery and 92
controls, with four measurements of cognitive function over time (at 0,
3, 12 and 36 mont
