Michael, Thanks for the quick response. I currently have a few models that have been estimated using Biogeme. I have attached a sample output file from the estimation.
I am more concerned about creating a model object from scratch rather than the reading part. Let us just say if we have a list of variables, coefficients, and std errors, how can an R model object be created (so that it can be used for prediction on an R data frame)? I read in the mlogit documentation that a model is created using an estimation dataset and formula. I was wondering if there have been previous attempts to setup a model object without estimating it in R just based on some character variables. Bhargava -----Original Message----- From: R. Michael Weylandt [mailto:michael.weyla...@gmail.com] Sent: Monday, October 17, 2011 11:44 AM To: Bhargava Sana Cc: r-help@r-project.org Subject: Re: [R] Creation of mlogit models from text file You're going to have to say more about your text file if you want meaningful help: specifically, what is in the file: data, output from other software, etc? There are probably two questions to deal with here: reading in whatever is in the text file and mapping it to the correct R object and setting up the mlogit model. For the reading part, try read.table() or readLines depending on the formatting. For the mlogit, look at the mlogit package available on CRAN. Michael On Mon, Oct 17, 2011 at 10:52 AM, Bhargava Sana <bhargava.s...@rsginc.com> wrote: > Hello all, > > Has anyone tried to create an R mlogit model object from a text file? If yes, > what would be the best way to do it? I already have models that have been > estimated using other software and would like to use R to help me make > predictions for new data. > > Thank you! > > Bhargava Sana > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
