similar to: mlogit function cut off formular

Displaying 20 results from an estimated 800 matches similar to: "mlogit function cut off formular"

2012 Apr 19
1
mlogit learning error
I am learning five mlogits as follows v1.model<-mlogit(v1~1|v2+v3+v4+v5, data=mlogit.v1.data, reflevel="1") v2.model<-mlogit(v2~1|v1+v3+v4+v5, data=mlogit.v2.data, reflevel="1") v3.model<-mlogit(v3~1|v1+v2+v4+v5, data=mlogit.v3.data, reflevel="1") v4.model<-mlogit(v4~1|v1+v2+v3+v5, data=mlogit.v4.data, reflevel="1")
2011 Mar 13
2
Problem implementing 'waldtest' when using 'mlogit' package
Hi all, I have been working through the examples in one of the vignettes associated with the 'mlogit' package, 'Kenneth Train's exercises using the mlogit package for R.' In spite of using the code unchanged, as well as the data used in the examples, I have been unable to run a Wald test to test two models. Specifically, I have run the following command, where mc and mi2 are
2010 Mar 07
3
mlogit
I am trying to follow this example for multinomial logistic regression http://www.ats.ucla.edu/stat/r/dae/mlogit.htm However, I cannot get it to work properly. This is the output I get, and I get an error when I try to use the mlogit function. Any ideas as to why this happens? > mydata <- read.csv(url("http://www.ats.ucla.edu/stat/r/dae/mlogit.csv")) > attach(mydata) >
2011 Apr 10
2
Multinomial Logit Model with lots of Dummy Variables
Hi All, I am attempting to build a Multinomial Logit model with dummy variables of the following form: Dependent Variable : 0-8 Discrete Choices Dummy Variable 1: 965 dummy varsghpow at student.monash.edu.augh@gp1.com Dummy Variable 2: 805 dummy vars The data set I am using has the dummy columns pre-created, so it's a table of 72,381 rows and 1770 columns. The first 965 columns represent
2010 Feb 10
0
mlogit: Error reported using sample dataset
I've been working on a multinomial logit model, trying to predict vegetation types as a function of total phosphorus. Previous responses to my postings have pointed me to the mlogit package. I'm now trying to work examples and my data using this package. data("Fishing", package = "mlogit") Fish <- mlogit.data(Fishing, varying = c(4:11), shape = "wide",
2011 Aug 12
0
Mixed Logit model mlogit error
I am new to R but I have managed to use mlogit to run multivariate logit models successfully. My data violates the Independence of Irrelevant Alternatives assumption and now I would like to run a mixed logit model. It is a "wide" data set with 9 independent (individual) variables and three choices (variable Y). The database is in a cvs file called CAU. This is the code I have run
2012 Oct 01
2
mlogit and model-based recursive partitioning
Hello: Has anyone tried to model-based recursive partition (using mob from package party; thanks Achim and colleagues) a data set based on a multinomial logit model (using mlogit from package mlogit; thanks Yves)? I attempted to do so, but there are at least two reasons why I could not. First, in mob I am not quite sure that a model of class StatModel exists for mlogit models. Second, as
2010 Feb 24
2
mlogit is not an S4 object error
Hello, I've been getting the following error when using the mlogit function from the mlogit package This is one of the examples provided in the Package "mlogit" January 27, 2010 description data("Fishing", package="mlogit") Fish <- mlogit.data(Fishing, varying = c(4:11), shape="wide", choice="mode") summary(mlogit(mode ~ pr + ca - 1,
2011 Apr 29
0
mlogit package, "Error in X[omitlines, ] <- NA : subscript out of bounds"
I am using the mlogit packages and get a data problem, for which I can't find any clue from R archive. code below shows my related code all the way to the error #--------------------------------------------------------------------------- mydata <- data.frame(dependent,x,y,z) mydata$dependent<-as.factor(mydata$dependent) mldata<-mlogit.data(mydata, varying=NULL,
2010 Jun 03
1
mlogit and weights
Hello, I can't figure out why using and not using weights in mlogit yields identical results. My motivation is for the case when an "observation" or "individual" represents a number of individuals. For example, library(mlogit) library(AER) data("TravelMode", package = "AER") TM <- mlogit.data(TravelMode, choice = "choice", shape =
2016 Apr 01
1
reduced set of alternatives in package mlogit
Hi Jose, You're referring to your response variable when you're saying it's missing some of the choices, right? Are your response choices ever known or do they just occur with extremely low frequency? Either way, I think the mlogit package would be inappropriate for you. I imagine you would have much better luck using MCMCpack or writing a model with rstan or something Bayesian.
2011 Jun 20
1
Stepwise model comparisons for mlogit
I am trying to perform a backwards stepwise variable selection with an mlogit model. The usual functions, step(), drop1(), and dropterm() do not work for mlogit models. Update() works but I am only able to use it manually, i.e. I have to type in each variable I wish to remove by hand on a separate line. My goal is to write some code that will systematically remove a certain set of variables
2011 Jun 22
1
mlogit model that contains both individual-specific parameters and universal parameters
Hello,  I am pretty new to mlogit, and still trying to figure out what models to use.I have a data set of N individuals, each of which faces I alternatives. The utility function of individual n, for choice i is:  u(i,n) = alpha(i) * x1(i,n) + beta * x2(i,n)  where alpha(i) is the individual specific parameter, and beta is shared among all individuals. I don't really know how to set this up
2011 Feb 28
4
mlogit.data
I am trying to estimate multinomial logit models off of a .csv table in IDCASE IDALT format where I have ROWS HHID PERID CASE ALTNUM NUMALTS CHOSEN IVTT OVTT TVTT COST DIST WKZONE HMZONE RSPOPDEN RSEMPDEN WKPOPDEN.... 1 1 2 1 1 1 5 1 13.38 2.00 15.38 70.63 7.69 664 726 15.52 9.96 37.26 2 2 2 1 1 2 5 0 18.38 2.00
2017 Jul 27
2
Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) with mlogit
Hi, Please help about the error I am getting after the h1.dat<- line : this line worked with much more independant variables and bigger data. This time I want to work with just 2 variables cteD & cteTh. What is wrong ? > setwd("C:/Rstudio/Trot") > library(mlogit) > horse1.data<-read.csv("cte2.csv") >
2016 Apr 01
0
reduced set of alternatives in package mlogit
-----Original Message----- From: Bert Gunter [mailto:bgunter.4567 at gmail.com] Sent: quinta-feira, 31 de mar?o de 2016 20:22 To: Jose Marcos Ferraro <jose.ferraro at LOGITeng.com> Cc: r-help at r-project.org Subject: Re: [R] reduced set of alternatives in package mlogit code? example data? We can only guess based on your vague post. "PLEASE do read the posting guide
2010 Aug 13
1
mlogit error
Hi, I'm trying to fit a multinomial logistic regression to my data which consists of 5 discrete variables (scales 1:10) and 1000 observations. I get the following error: Error in `row.names<-.data.frame`(`*tmp*`, value = c("NA.NA", "NA.NA", : duplicate 'row.names' are not allowed In addition: Warning message: non-unique value when setting
2017 Jul 27
0
Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) with mlogit
Looks like you need to pay attention to how you read in your data. In general, you should always execute one statement at a time until you know your script is working. All the errors after the first one are unhelpful to you or us. If you actually pay attention to what is in your horse.data data frame after you have read it in, the columns did not get separated out. The "csv" in in
2012 Jul 30
1
length of variable in mlogit
Dear all, does anybody have experience with building logits in Mlogit? I want to test the use of a couple of alternative specific variables with a generic regression coefficient. However, one of them simply does not work. R says the length of this variable is different. Problem: If I check the length of this special variable, I get a value, which also other variables have ? and with those, the
2017 Jul 27
0
Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) with mlogit
Hello, Inline. Em 27-07-2017 20:36, peter dalgaard escreveu: > >> On 27 Jul 2017, at 18:03 , Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: >> >> Looks like you need to pay attention to how you read in your data. In general, you should always execute one statement at a time until you know your script is working. All the errors after the first one are unhelpful