similar to: Function for Estimating Fractional Multinomial Logit Model?

I would like to reference array dimensions by name in an apply and a summary function. For example: apply(x, "workers", sum) Is there a better way to do this than creating a new attribute for the array and then creating new methods for apply and summary? I don't want to name the individual elements of each dimension (such as with dimnames) but rather name the dimensions. Thanks

I just uploaded two packages to CRAN. shapefiles_0.1.tar.gz - functions to read and write ESRI shapefiles (including dbfs) emme2_0.1.tar.gz - functions to read binary data from an EMME/2 databank data (EMME/2 is a transportation modeling program) Please let me know if you find any bugs or have some suggestions. Thanks. Regards, Benjamin Stabler Transportation Planning Analysis Unit Oregon

I put a copy of R 1.8.1 for Windows on our FTP site at: ftp://ftp.odot.state.or.us/outgoing/Test/. It should be there for a few days before it gets deleted. Benjamin Stabler Transportation Planning Analysis Unit Oregon Department of Transportation 555 13th Street NE, Suite 2 Salem, OR 97301 Ph: 503-986-4104 -----Original Message----- From: Peter Wilkinson [mailto:pwilkinson at videotron.ca]

I want to run Rcmd BATCH with R_DEFAULT_PACKAGE=base so it doesn't load any packages, but it seems to reject this argument because it does not start with a '-' or '--'. Is there a different argument that will work? Thanks. Benjamin Stabler Transportation Planning Analysis Unit Oregon Department of Transportation 555 13th Street NE, Suite 2 Salem, OR 97301 Ph: 503-986-4104

I understand how R treats NAs but in the situation below it would be nice to have a na.skip argument to paste so it does not convert the NAs to "NA"s and simply skips those elements of the vector for pasting. > x [1] "2.13" "2.3" NA NA "2.83" NA > paste(x, "0", sep="") [1] "2.130" "2.30"

I am familiar with the rpart and tree packages for classification and regression trees. However, quite a bit of the research in the transportation community relating to decision trees uses the C4.5 family of algorithms by Quinlan. Are there any plans to make a C4.5 (or a derivative of it) available to R? If not, then I might use the WEKA Java package ( http://www.cs.waikato.ac.nz/ml/weka) that

I am trying to estimate a latent class multinomial logit regression with flexmix. I am not sure if I should do it as follows: m4<-flexmix(cbind(y,1-y)~x1+x2|id,model=FLXMRglm(family="binomial"),data=NPreg,k=2) , where id links each row with the corresponding respondent. Each respondent has 4 alternatives to chose from. y takes the value 1 only for the alternative chosen; x1 and

I am trying to open an existing binary file, seek to a position in the middle, and then write one byte, while keeping the already existing data after that byte. It seems to me that I am unable to open a connection to a binary file in both read and write mode. I can open the "r+b" binary file connection and seek around, but I can't write to the file. And looking at the function

I am new to R so I apologize if this is a simple question I have created a tkgrid with a button that, once pushed, will extract the information from the grid, but I can not figure out the command to save the entries from my grid. Any thoughts? Thanks Alex Bettinardi Transportation Analyst TDD - Planning Section - TPAU 555 13th Street NE, Suite 2 Salem, OR 97301-4178 503.986.4398

R Help- I have a list of 102 vectors all of the same type and length called time.by.orig. I can't data.frame(time.by.orig) but I can data.frame(time.by.orig[1:length(time.by.orig)]). Why is this? Thanks for your help. str(time.by.orig) List of 102 $ 1 : num [1:102] 1.34 17.39 14.36 14.22 7.56 ... $ 2 : num [1:102] 17.5 0.7 17.7 12.4 10.4 ... $ 3 : num [1:102] 14.063 17.568

I am trying to build a R 1.7 package under Windows NT. I created the DESCRIPTION file, the RD file and added the code to the R folder. I also downloaded and installed the Rtools package and have Perl 5.0. I know that Perl, Miktex, and gcc are working. I also have my PATH variable set correctly. I can fake install my package by removing the *.R from the code file, using Rcmd Rdconv to create

Good morning, I'd like to estimate a simple multinomial logit model in R (not a McFadden conditional logit). For instance, I'd like to estimate the probability of someone having one of eight titles in a company with the independent variables being the company characteristics. A binary logit is well documented. What about the multinomial? Thanks, Walt Paczkowski

Hi, I am trying to obtain p-values for coefficient estimates in a multinomial logit model. Although I am able to test for significance using other methods (e.g., Wald statistics), I can't seem to get R to give me simple p-values. I am sure there is a very simple solution to this, but the R archives seem to have nothing on this issue. I would appreciate any help. Thanks in advance! Best,

Hi everyone? Does anybody know how can I estimate a Latent class multinomial (or conditional) logit using R? I have tried flexmix, poLCA, and they do not seem to support this model. thanks in advance adan -- View this message in context: http://r.789695.n4.nabble.com/Latent-class-multinomial-or-conditional-logit-using-R-tp4230083p4230083.html Sent from the R help mailing list archive at

The main limitation of the shapefiles package that I put together is that it does not create shapefiles from R objects - rather it only writes shapefiles that have been read into R and manipulated within the constraints of the existing file structure. By this I mean that for example you can change the coordinates of points and write them back out. Or you can add a bunch of blank columns in the

I am attempted to examine the temporal independence of my data set and think I need an unordered multinomial logistic regression (or logit model) with repeated measures to do so. The data in question is location of chickens. Chickens could be in any one of 5 locations when a snapshot sample was taken. The locations of chickens (bird) in 8 pens (pen) were scored twice a day (AMPM) for 20 days

Dear all, I am having a hard time attempting to do a multinomial logit modeling in R. I am trying to analyze a dataset whereby there are 3 scenarios with 4 difference choice parameters. In particular ? I am having a hard time arranging this into a .csv format. What sorts of headings should I put in the column headers to reflect the variables and parameters for the total number of choice made

Dear R users, I would like to know if there is a package in R that estimates multinomial logit models (without using surrogate Poisson models) -or even better- nested multinomial logit models? I am using the Windows version of R (Windows 95). To my understanding, the S package called nnet does that, but it seems not to work in R. Thanking in advance for any help, Marjo Pyy-Martikainen

Please, could you tell me how to enter a mixed or a purely conditional multinomial logit model in NNET. I know how to do a multinomial logit in NNET but I don't know how to do conditional or mixed models using this package. I do know how to do this with VGAM - but would like to compare my results to those obtained by NNET. Thanks. Raffaele.

I'm attempting to creat multinomial logistic regression model using the following code: mlogit<- vglm(ME ~ HIST,family=multinomial(),na.action = na.pass) ME (dependent variable) has three levels (0,1,2) How do I declare a reference outcome (either 0,1,2)?