Displaying 3 results from an estimated 3 matches for "pariwise".
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pairwise
2010 Oct 21
1
SVM classification based on pairwise distance matrix
...vations to
the training ones.
Is it possible to use distance matrices for SVM, and if yes, which
package would do so (e1071 ? ).
I have little experience with SVM, and I had the impression that it is
a/ usually used with data taht have observations in terms of a number of
variables (hence, not pariwise distances);
b/ it is not well suited for large multidimensional spaces (I have a
distance matrix of 200*200 observations, a part of this could be used as
training data, but still, we are looking at say 50 distances per
observation).
Thanks
Martin
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2011 Sep 02
0
post hoc testing of glmer in lme4
I have a mixed model with a binomial response, four factor variables and one
random factor.
m1=glmer(nbhf.hour~Season+Diel+Tidal.phase+Tidal.cycle+(1|POD.ID),family=binomial,data
=bl1,control=list(msVerbose=TRUE))
I have really need to try and find a post hoc test for this model and
finding the pariwise comparisons, note the dataset is unbalanced. I had read
many questions on this and there doesn't seem to be an acceptable/agreeable
answer although perhaps this was some time ago and the question can be
answered?
Any help is greatly appreciated.
Thanks in advance
--
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2006 May 09
2
post hoc comparison in repeated measure
...mparison. What I
found is that using the first approach, I couldn't
find any pairwise comparison statistically significant
which I thought I should find at least one
significant, because the ANOVA treatment effect is
mariginally significant (p = 0.04). Using the second
approach, I did find some pariwise comparisons
significant. Can anyone explain to me why?
BTW, is there a R function that can do post hoc
comparison on repeated measure ANOVA (from avo() with
Error term)?