similar to: Error in `[[<-.data.frame`(`*tmp*`, alt.name, value = integer(0)) with mlogit

> 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 to you or us. > > If you actually pay attention to what is in your

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

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

Hello, There's a typo in your call to mlogit.data, it should be alt.var="nbChev", not alt.var="noChev". Then the error is different. You should check the call arguments to see if they make sense. Hope this helps, Rui Barradas Em 28-07-2017 13:14, sandoz at free.fr escreveu: > I re post my question with the csv problem fixed. > > Can someone explain the

Hi, Can someone explain this error below, I don't understand why the 2 int columns are associated to make a row name > horse1.data<-read.csv("cte2.csv", header=TRUE, sep=";") > h1.dat<-mlogit.data(data=horse1.data,choice="win",chid.var="raceid",alt.var="nbChev",shape="long") Error in `row.names<-.data.frame`(`*tmp*`,

I don't know either. Perhaps someone else on the list who uses that _contributed_ package will know. Please be aware that it is both possible and preferred that you make reproducible examples so others can troubleshoot. See any of [1][2][3] [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3]

Hi I did not notice any answer to your question so I try. After studying docs and other responses to similar question I deduct that chid.var and alt.var are mixed together and new data frame is being build with chid.var and alt.var combination as new row names. As the combination is not unique this operation results to error. But I may be completely wrong. Cheers Petr > -----Original

With a has_one/belongs_to relationship, what''s the best way to guarantee that the belongs_to object gets created and is accessible alongside the has_one object? I *think* the after_create callback is a good choice, but I discovered an oddity while trying it. F''rinstance, if every horse has a carriage: ============ ActiveRecord::Schema.define do create_table(:horses) {|t|

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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) >

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")

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,

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

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

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 =

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

To back up Ber's please have a look at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and/or http://adv-r.had.co.nz/Reproducibility.html John Kane Kingston ON Canada > -----Original Message----- > From: jose.ferraro at logiteng.com > Sent: Wed, 13 Apr 2016 17:18:35 +0000 > To: cdesjard at umn.edu > Subject: Re: [R] reduced set of

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.

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",

I'm trying to fit a multinominal logistic model using package mlogit. I have 15 independent variables. The code looks like this: m<-mlogit(score~0|f1+f2+f3+f4+f5+f6+f7+f8+f9+f10+f11+f12+f13+f14+f15, data, reflevel="1") And it gives the following error message: Error in parse(text = x) : unexpected ')' in "score ~ 0 + alt:(f1 + f2 + f3 + f4 + f5 + f6 + f7 + f8 + f9