Displaying 5 results from an estimated 5 matches for "fzagmutt".
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zagmutt
2016 May 11
0
Quantitative Risk and Decision Analysis Consultant
....
If you are interested in joining our team, please send a resume and cover
letter to careers at epixanalytics.com.
Successful applicant(s) will be required to pass a background check.
Barbara S. O'Neill
Office Manager
Phone: +1 303 440 8524 Fax: +1 303 440 0320
<mailto:fzagmutt at epixanalytics.com> boneill at epixanalytics.com |
<http://www.epixanalytics.com/> www.epixanalytics.com
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2016 May 31
0
Job Position: Quantitative Risk and Decision Analysis Consultant
...in joining our team, please send a resume and cover
letter to careers at epixanalytics.com.
Successful applicant(s) will be required to pass a background check.
Best regards,
Barbara
Barbara S. O'Neill
Office Manager
Phone: +1 303 440 8524 Fax: +1 303 440 0320
<mailto:fzagmutt at epixanalytics.com> boneill at epixanalytics.com |
<http://www.epixanalytics.com/> www.epixanalytics.com
[[alternative HTML version deleted]]
2003 Apr 29
1
plot with nlme
Using R v. 1.7.0 on Windows 2000
I would like to plot the fitted values of a model as a function of a
continuous covariate, augmented with data (e.g., augPred) grouping by
combinations of fixed effects. I have not been able to use augPred
effectively, and am wondering if it does not handle unbalanced data (3 out
of 192 missing).
I include below the model and an xyplot that almost does the
2003 Oct 06
0
Log transformed values and contrasts in LME
Dear All
This is probably a very basic question for this list but I just wanted to
make sure that I am doing things right:
I have an LME model with 4 categorical variables and 2 continuous variables
(analysis of covariance model). I had to use a log transformation on the
data to achieve normality (log(x)-.1) and then I used contrast treatment to
compare differences between a baseline level
2003 Sep 23
0
ANOVA(L, Terms...)
Hi There
I have a lm object with 4 parameters and I want to test wether 2 parameters
are equal using a Wald test (basically b1=b2 or b1-b2 =0). In the help file
from R it says that under ANOVA the optional arguments " Terms" or "L" test
whether a linear combination is equal to 0. I tried;
>anova(m1, Terms = Beta1-Beta2=0) but I get the error:
Object " Beta1"