Displaying 3 results from an estimated 3 matches for "allmeans".
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2012 Aug 02
0
predictions from hurdle model
I ran a negative binomial logit hurdle model and am now trying to plot the
effects of a continuous predictor variable (the only variable in my model)
on the count and zero component and the overall mean response. I'm confused
because for some values, the predicted overall mean is higher than the mean
of the non-zero counts (range of predicted overall means=2.2-11.0; range of
non-zero count
2013 Mar 27
1
Creating mean C columns out of As and Bs
I am working on a gene expression microarray dataset, each sample has been taking from animal A and animal B on the same type of microarray.
I would like to take the mean of these columns and create a dataset with columns with data which are means of the corresponding rows of A and B
For example:
TissueExpressionA <- HTissue[1:22284, c(29, 39, 57, 59, 63, 69, 71, 73, 77, 79, 83, 89, 99, 117,
2012 Jan 17
2
pscl package and hurdle model marginal effects
This request is related to the following post from last year:
https://stat.ethz.ch/pipermail/r-help/2011-June/279752.html
After reading the thread, the idea is still not clear. I have fitted a model using HURDLE from the PSCL package. I am trying to get marginal effects / slopes by multiplying the coefficients by the mean of the marginal effects (I think this is right). To my understanding, this