similar to: Discrete Choice Modeling modules for R??

I've patched R so that it can be used as a scripting language, i.e. you can (on Unix-like systems) write files containing R code and execute them non-interactively, e.g.: #!/usr/local/lib/R/bin/R.bin --script cat("Hello World!\n") I've updated the patches for R-1.7.0; if you're interested in the patches, e-mail me at mckay@gmr.com, and I'll send them to you. --

I've hacked R so that it can be used to write shell and/or CGI scripts, e.g. "hello world" can be written as: #!/usr/local/lib/R/bin/R.bin --script cat("Hello, World!\n"); The mods required to enable this aren't particularly major. (Adds about 70 lines of code, IIRC.) Anyone else interested in adding this to the R core? -- Neil D. McKay, Mail Code 480-106-359

I've updated my scripting patches to R-1.8.0. These patches allow you to write shell scripts in R (at least on *nix systems) by putting #!/path/to/R.bin --script on the first line of the script file. If you're interested in the patches, e-mail me at mckay@gmr.com -- Neil D. McKay, Mail Code 480-106-359 Phone: (586)986-1470 (GM:8-226-1470) Manufacturing Systems Research Lab

Is there anyway I can write a script which feed input datasource from stdin and let R process it (maybe frequency report) then output the report to stdout? I can't seem to find much info on documentation or FAQ on this topic. Thanks! Soichi Hayashi ********************************************************************** The information contained in this communication is confidential,

To whom it may concern, I am using the rpart() function to perform a recursive tree analysis on a set of data that includes both numerical and categorical attributes. At the end of the analysis, I would like to see the linear model at each node in the tree. In particular, I would like to see each node specific model coefficients associated with each of the independent variables and intercepts.

Taking the Grunfeld data, which is built-in in R, for example, (1)How can I construct a dataset (or dataframe) that consists of the data of all firms in 1951? (2)How can I calculate the average capital in each form over the period 1951-1954? What I can imagine is to categorize the data by firm, and then select the data between 1951 and 1954 for each firm, but how can I do it? Thanks, Miao

Dear friends, I have written the following lines in R console wich already exist in pdf file systemfit: data( "GrunfeldGreene" ) library( "plm" ) GGPanel <- plm.data( GrunfeldGreene, c( "firm", "year" ) ) greeneSur <- systemfit( invest ~ value + capital, method = "SUR", + data = GGPanel ) greenSur I have obtained the following incomplete

Hi, I'm struggling trying to specify a multinomial logit discrete choice model in R. Any help and/or code examples appreciated. I am specifically interested in specifying a model where no universal choice set exists and each choice set has a variable number of alternatives (one of which is chosen) see data below. Many Thanks, David PS I have asked earlier but without reply. Is it

Hi I am trying to estimate stated preferences for Tv sets by using mlogit. The choice set is designed as with 4 attributes: [ brand(has 4 levels), technology(has two levels), class[has 4 levels), price(has 4 levels)] There are 16 choice sets with 4 alternatives each one (i.e. each respondent has evaluated 64 cards in total). Therefore, there are 64 rows in the table below. The data in csv file

Dear all, I haven?t used R for panel data analysis so far, but now I am looking for a package respectively some starting point for binary choice panel data analysis in R. For starters most of my effects are individual and my dependent variable is just binary. Thanks for any suggestions in advance! best matt

Hello, I need a little initial help with the MNP package. I am trying to analyze a discrete choice experiment with the following settings: - choice sets consist of 3 alternatives - choice alternatives are constructed by e.g. two attributes, say brand and price. - brand has three levels and price has four levels - every respondent has to answer 4 different choice sets (drawn randomly or

Hi, I would like to fit Logit models for ordered data, such as those suggested by Greene (2003), p. 736. Does anyone suggests any package in R for that? By the way, my dependent variable is ordinal and my independent variables are ratio/intervalar. Thanks, Iuri. Greene, W. H. Econometric Analysis. Upper Saddle River, NJ: Prentice Hall, 2003

Hello Everyone,   Can anyone show me how to use discrete choice data to estimate marginal willingness to pay? I've searched for simple information or code on how to do this but haven't found much.   The closest I've come is a paper titled "Introduction to Choice Experiments using R." The paper seems to have what I want but is not readily available and is written in Japanese.

Hello all, I'd like to announce the availability of a mailing list for a newly-formed SIG (Special Interest Group) dedicated to using R for Discrete Choice Modelling. This list is intended for discussion of issues revolving around the design and analysis of Discrete Choice (aka Stated Choice, Stated Preference or Choice-Based Conjoint) experiments. While R has good infrastructure for

Dear R users, I would like to perform Latent Class Logit Models for the analysis of choice experiments in environmental valuation. This kind of analysis is usually performed with NLogit Software (http://www.limdep.com). I attach the results I usually obtain using NLogit and NLogit model specifications. For Random parameter models and Logit Models I usually perform my analysis with the package

Hello, The problem is that the factors are not orderd by the row number. If you want to check their order, use str(sortdata) and you'll see Santa-Rosa was attributed factor level 4 (in the output, first variable, the 3rd and 4th). Try the following. sortdata <- read.table(text=" county year x1 x2 x3 x4 x5 x6 x7 rank 141 Escambia 2002 6.50

Hello, I am new to R and I am trying to estimate a discrete model with three choices. I am stuck at a point and cannot find a solution. I have probability functions for occurrence of these choices, and then I build the likelihood functions associated to these choices and finally I build the general log-likelihood function. There are four parameters in the model, three of them are associated to

Hi I'm wondering if you could save new data frames with in a loop using the names within the data frame... I.e. If you have a data frame as below Product Type Test A One 67 A Two 55 B One 42 A One 55 I would like to generate new dataframes as follow... A.One (including) A One 67 A One 55 A.Two (including) A

Yeah but if you are uncertain about your own box my VERY STRONG advise is that you reinstall. IF your host is indeed owned, then you are a lot further away then just reinstalling, god knows what issues can arrise when a cracker exploits the system to do bogus tasks.. Then i say: Too bad for your time, sorry but it's like that -- Kind regards, Remko Lodder Elvandar.org/DSINet.org

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