In a binomial regression analysis I have used the AIC value as a guide
for which link function (logit or probit) provides the best fit to my
data, but one of the reviewers have questioned this approach.
Is AIC values calculated with different link functions within the
binomial function in G
In an effort to select the most appropriate number of clusters in a
mixture analysis I am comparing the expected and actual membership of
individuals in various clusters using the Fisher?s exact test. I aim
for the model with the lowest possible p-value, but I frequently get
p-values below 2.2e-16
I wish to generate a vector of uniformly distributed data with a
defined correlation to another vector
The only function I have been able to find doing something similar is
corgen from the library ecodist.
The following code generates data with the desired correlation to the
vector x but
ht
also Google for "tetrachoric correlation".
# OR:
u <- findFn('uniformly distributed correlated data') # 3 matches
Hope this helps.
Spencer
On 2/19/2011 9:21 PM, Jorge Ivan Velez wrote:
Hi Soren,
Take a look at http://tolstoy.newcastle.edu.au/R/h
4 matches
Mail list logo