We would like to announce the following statistics course:
Course: Introduction to Linear Mixed Effects Models and GLMM with R.
Frequentist and Bayesian approaches.
Where: University of Adelaide, Adelaide, Australia
When: 20-24 June 2016
Course website: http://www.highstat.com/statscourse.htm
You have an overactive imagination... these equations are nonlinear.
--
Sent from my phone. Please excuse my brevity.
On May 14, 2016 3:27:30 PM PDT, "Cleber N.Borges" wrote:
>Dears,
>I imagine that the LP method should be the solution to find the
>parameters of one objective function ...
>I kn
Sorry, but this is close to unreadable. Please retry, and not in HTML this
time.
However AFAICT, the only difference between the two sets of results (re. main
effects present in both) is that the residual df differs, hence so does F and
p-value.
-pd
> On 15 May 2016, at 21:06 , Jonathan Rea
Hello,
I ran a 2x2x2 repeated measures ANOVA which turned out fine:
DfSum Sq Mean Sq F
value Pr(>F) Attend1 0.5540
0.55402 7.03740.01079 *PercGrp 1
Dears,
I imagine that the LP method should be the solution to find the
parameters of one objective function ...
I known there are the constrOptim command for this.
but I don't know how to elaborate the contour condictions in matricial
forms
that the way like constrOptim works
I show below one fu
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