search for: nikolay12

Hi, I would like to apply the L-BFGS optimization algorithm to compute the MLE of a multilevel multinomial Logistic Regression. The likelihood formula for this model has as one of the summands the formula for computing the likelihood of an ordinary (single-level) multinomial logit regression. So I would basically need the R implementation for this formula. The L-BFGS algorithm also requires

Hi all, I have relatively small dataset on which I would like to perform a PCA. I am interested about a package that would also combine a method for determining the number of components (I know there are plenty of approaches to this problem). Any suggestions about a package/function? thanks, Nick -- View this message in context:

Hi, I have the following table data: f1, f2, f3, f4. I want to compute the counts of unique combinations of f1-f4. In SQL I would just write: SELECT COUNT(*) FROM <table> GROUP BY f1, f2, ..,f4. How to do this in R? Thanks, Nick -- View this message in context: http://www.nabble.com/Group-by-in-R-tp23020587p23020587.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I have written a function cluster_compare(myfile, mclfile) I called it giving names of files in the working directory (I see them with dir()). I get Error in file("myfile", "r") : cannot open the connection In addition: Warning message: In file("myfile", "r") : cannot open file 'myfile': No such file or directory I tried even calling

Dear all, I want to build a text classification model with about 85.000 features (variables) on about 10.000 observations (words that have been manually classified). I want to use multivariate logistic regression (known also as maximum entropy) with Gaussian priors. So in essence it is Bayesian logistic regression. Is there R package which is suitable for such model and problem size? thanks,