similar to: duplicate 'row.names' are not allowed???

Hi I am trying to estimate parameter values with mlogit. I attach a part of my data. My code is x=mlogit.data(y,choice="voittaja",shape="long",id.var="id",alt.var="numero") summary(mlogit(voittaja ~ Ie-1 , data=x, na.action=na.pass)) But i get Error in if (abs(x - oldx) < ftol) { : missing value where TRUE/FALSE needed Because there is Na

Hi All, ? I am trying to use the lordif package in R and can't figure out the reason for the above error when I try to run the calctheta() function. ################## # read data using foreign package - must be Stata 11 or earlier racedata<- read.dta("race.dta")??? # item responses resp.data<-racedata[,-c(1:2)] # grouping variable is in the second column

Hi I have estimated parameters of my data with mlogit and the following commands. I would like to know also the McFadden R^2 and the intercept, could soweone tell me how that can be done? library(RODBC) library(mlogit) library(foreign) z<-odbcConnectExcel("D:\\MALLI11ARVOT.xls") y<-sqlFetch(z,"Taul1")

Hallo, Jeremy, Du meintest am 11.01.16: >> "smbclient" doesn't work with the slackware packages samba-4.3.1 and >> 4.3.2, it has worked with 4.2.1 and older versions. >> >> smbclient >> >> answers with "segmentation fault", on two testing machines (where >> 4.2.1 has worked well). [...] > Run under gdb please and

Full_Name: Jerome Asselin Version: 1.6.2 OS: RedHat Linux 7.2 Submission from: (NULL) (142.103.173.179) Should be an easy fix... Consider the examble below: plot(0,0) legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) It gives the following trace: > plot(0,0) > legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) xchar= 0.05178 ;

Hi After good advices i post this problem here again. Now the attached sambledata is in csv form and it is a part of my real data. I have tried different na.action operations but the result stays the same... My code > library(mlogit) > library(foreign) > z<-odbcConnectExcel("D:\\SAMBLEDATA.csv") > y<-sqlFetch(z,"Taul1") >

Hallo, Jeremy, Du meintest am 12.01.16: >>> Run under gdb please and type "bt" to get a backtrace when >>> it crashes. [...] >> [?1034h(gdb) run >> Starting program: /usr/bin/smbclient >> [Thread debugging using libthread_db enabled] >> Using host libthread_db library "/lib/libthread_db.so.1". >> >> Program received

I have 10 XP clients authenticating against a Samba PDC, using passwd as the passdb backend. The Samba PDC provides several shares to the XP clients. Priviledges on the Samba PDC are controlled by *nix user and group permissions. I do not have any Windows servers on my network, so we do not use any of the Windows group capabilities beyond the default groups. My Samba PDC is running out of room,

hello i am a new user for this group. i am working at a ISP. here i want to made a bridge firewall i am using fedora core 3. i want to block a serirs of ip address 192.16.18.0/255.255.255.0 and want to give the accesss only 172.16.18.0/255.255.255.0. but iptables not be able to block ip;s its passes all the ip series. i made my machine as bridge. i think my bridge passes all the

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,

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) >

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

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: 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

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

Hi all I am still unsure of the correct way to configure member servers. I have one PDC (Samba 3.026a on Solaris 9) and several member servers (including Samba 3.026a on Solaris 9 and 10, and Samba 3.024 on Fedora core 6.) Each machine uses NIS for unix accounts. The "Samba by Examble" Book indicates that even if I am using NIS for user accounts, and not using LDAP for a idmap

Sir, I want to fit a multinomial logistic regression in R.I think mlogit() is the function for doing this. mlogit () is in packege globaltest.But, I can not install this package. I use the following: install.packages("globaltest") Can you help me? Regards, Suman Dhara [[alternative HTML version deleted]]

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 =

Hi all - my first time here and am having an issue with the Predict function. I am using a tutorial as a guide, locate here: http://www.ats.ucla.edu/STAT/R/dae/mlogit.htm My code gives this error > newdata1$predicted <- predict(mlogit,newdata=newdata1,type="response") Error in `$<-.data.frame`(`*tmp*`, "predicted", value = c(0.332822934960197, : replacement has

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.