Ok, here is my question. I have a data frame that looks like this:
yx1 x2 (say, age)x3
yes car 23 catholic
no bus34 muslim
maybe bus16 jew
You see, the multinomial dependen
Hello,
I am trying to run a mixed logit model (panel form) with the mlogit package.
I am running into the following error: "Error in random.nb[, sel, drop = F]
: subscript out of bounds".
I have searched the R Help forum (and online) and see no instances of this
error. Below is the coding that I
Dear R users,
1) My problem in short:
Mlogit cannot calculate certain conditional models.
2) My database:
The target was a logistical regression analysis and a probability function
which should include generic coefficients and alternative-specific ones. The
database was a survey, the dependent
Thanks a lot Bill!
This works fine!
Useful to know regarding subset.
Charles
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Effect=="none").
Bill Dunlap
TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of craux
> Sent: Thursday, January 30, 2014 10:14 AM
> To: r-help@r-project.org
> Sub
Hi!
I have been working a while with mlogit, estimating successfully a series of
models.
This time I have a series of discrete choice experiments with different
effects to test (var Effect). I use the code below: when I estimate the
first model with "dd" it's work fine. Then I perform subset dd in
Hi, Graham, Thank you for sharing this.
I encountered the same problem. My choice set was unbalanced because some
alternatives were not available for some observations. If I forced the
choice sets balanced, model estimation results would be biased. However,
after including chid.var = "" and alt.va
Dear R users,
I am wondering if there is an easy way to have "mlogit" to report number of
observations (N) used in the model. It seems "summary()" does not work.
Thank you!
Gary
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Dear Listmembers
Thank you for your help in resolving the duplicate row.names error. The
solution was very straightforward to ensure that the choice set is completely
balanced. Once that was achieved the program worked fine.
Kind Regards
Graham
__
R
0 0 1 1 1 4 2 1 FALSE
A.K.
- Original Message -
From: "Leask, Graham"
To: "r-help@r-project.org"
Cc:
Sent: Sunday, April 7, 2013 10:39 AM
Subject: [R] mlogit error
Dear List
I am trying to fit a multinomial model using the mlogit package.
-
From: "Leask, Graham"
To: arun
Cc:
Sent: Sunday, April 7, 2013 11:28 AM
Subject: RE: [R] mlogit error
Hi Arun,
I think you are right the issue may be how to identify those obs where this
doesn't apply for whatever reason.
The issue I think is the size of the data which make
Dear List
I am trying to fit a multinomial model using the mlogit package. Attempting to
load
the data into mlogit presents the following error.
MLOG<-mlogit.data(Mult3,shape="long",choice="CHOICE",alt.var="mode.ids",indivs
= "set3",chid.var = "obs")
Error in `row.names<-.data.frame`(`*tmp*`, v
Hi Ehsan,
What do you mean by percent correctly predicted? Could you provide more info
about your model? It might be helpful to get a clue.
ya
From: ehsan rahimi
Date: 2013-01-24 12:52
To: r-help
Subject: [R] mlogit Package
I have problem as follows:
I use "mlogit package" to
I have problem as follows:
I use "mlogit package" to develop a multinomial logit model but I can not find
Percent Correctly predicted. would you help me?
Thanks
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Hi Achim:
Excellent points. Thank you so much for your prompt reply.
Tudor
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Tudor:
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)?
Interesting question: in principle, this is possible but I wouldn't know
of an
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,
Dear all,
I am implementing a stochastic utility model that will eventually
make use of multinomial logit. I found that there is a package in R
called mlogit. I am not sure whether I have already found the correct
package or software. May I ask am I correct?
Basically, let's say
I have obse
I found out that this error means there is an underflow that is not handled
by the default solve. The suggested solution is to use qr.solve() or svd
instead of default.solve().
How can I modify mlogit to use qr.solve() instead of solve.default()?
Thanks
On Thu, Apr 19, 2012 at 2:10 PM, geek gir
Thank you for your response. Each v can take a a value from 1 to 100.
Input data subset: v1.data
v1 v2 v3 v4 v5
1 1591 5152
2 1591783
3 1591 4611
4 1991 8411
5 1591 31 4
6 1
There's something in your data that makes the model computationally
singular when you take the various subsettings... Can you provide a
small reproducible example so we can help narrow it down? It looks
like you're using different data for each mlogit though so I'm not
sure how the comparison that
I forgot to say that the models for v2 and v5 worked fine on a smaller
dataset, but gave me this error on a larger dataset.
Thanks
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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.
Hi,
19.12.2011 11:12, Ville Iiskola wrote:
Error in if (abs(x - oldx)< ftol) { : missing value where TRUE/FALSE
needed
The reason for this error is in the row 563. There the choice has
value 1 and Ie has missing value. If the choice has value 0 and Ie
has missing values, then there is no erro
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
Hi
I have tried to estimate race winning probabilities with mlogit in R. I have
different amount of contestors in the races and mlogit has a bug so that in
those situations the mlogit does not work. So i tried to add dummy contestors
to the race so that every race has an equal amount of conte
Dear R users,
I am trying to estimate a nested logit model that has a constant option in
a degenerate partition. The data set is a conjoint survey where
respondents were asked to answer multiple choice sets. The choice sets
consist of three alternatives (described by four varying attributes) and a
On Wed, 22 Jun 2011, Quang Anh Duong wrote:
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
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 sp
Yong,
I saw your post from April 29th about the error message in the mlogit
package, copied below. I had the same problem, but solved it by omitting
all missing data from my data frame before running mlogit.data().
ex. mydata = na.omit(mydata)
I am posting this to the R help list as well so
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$dependent<-as
On 2011-02-28 12:54, gmacfarlane wrote:
I actually have exactly the same question as Maha, and I wish that Z had
answered the question instead of providing a lesson in streamlined code
(valuable, but not helpful).
I think that Achim answered as best one could, given that Maha
neglected, as you
I actually have exactly the same question as Maha, and I wish that Z had
answered the question instead of providing a lesson in streamlined code
(valuable, but not helpful).
It seems as though mlogit.data repopulates the row.names field, and that
this is where the duplication comes in.
hbwtrips<-
Hello,
I am using the mlogit package to model diplomatic representation and
stability.
Here is our sample model -
m2 = mlogit(y ~ 0|(time.curr + period), data=dip,
alt.levels=c("asym","end","sym","x"), shape="wide",
subset=which(mlogdata$curr=="sym"))
>From here, we would need to find the pro
On Fri, 13 Aug 2010, Maha Bakoben wrote:
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", :
duplica
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:
On Wed, 2 Jun 2010, Misha Spisok wrote:
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("Travel
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(T
On Mon, 8 Mar 2010, yves croissant wrote:
In the code of the mlogit function, the call is saved under the name
'mldata' that you use to store the result of the mlogit.data function.
When calling mlogit with 'mldata' as the data argument, there is a
conflict between these two objects with the sam
In the code of the mlogit function, the call is saved under the name
'mldata' that you use to store the result of the mlogit.data function.
When calling mlogit with 'mldata' as the data argument, there is a
conflict between these two objects with the same name, one of class
'call' and one of class
On 2010-03-07 10:41, cmc wrote:
I have tried doing it whithout attaching the mydata file, and i still get the
same output.
When i create mldata using mlogit.data i do not generate the chid and alt
columns, is this where the problem is, if so how do i fix this problem.
I've suggested not nami
David,
Here's my sessionInfo:
> sessionInfo()
R version 2.11.0 Under development (unstable) (2010-03-02 r51195)
i386-pc-mingw32
locale:
[1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252
[3] LC_MONETARY=English_Canada.1252 LC_NUMERIC=C
[5] LC_TIME=English_Canada.1252
attached bas
Looks like a problem that the maintainer should be copied with:
> maintainer("mlogit")
[1] "Yves Croissant "
Not sure why it should affect your systems and not mine, but here is
my sessionInfo() if it helps:
> sessionInfo()
R version 2.10.1 RC (2009-12-09 r50695)
x86_64-apple-darwin9.8.0
lo
I have tried doing it whithout attaching the mydata file, and i still get the
same output.
When i create mldata using mlogit.data i do not generate the chid and alt
columns, is this where the problem is, if so how do i fix this problem.
Cheers for any help
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On 2010-03-07 10:30, David Winsemius wrote:
On Mar 7, 2010, at 12:06 PM, cmc wrote:
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
On Mar 7, 2010, at 12:06 PM, cmc wrote:
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
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 <- r
2010 04:20 cc
PMr-help@r-project.org
Subject
Re: [R] mlogit is not an S4 object
On Wed, 24 Feb 2010, steve_fried...@nps.gov wrote:
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.d
On 2010-02-24 6:51, steve_fried...@nps.gov wrote:
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.da
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=
On Sun, 14 Feb 2010, Han Qin wrote:
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
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) :
unexpe
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
5.1 322322 322322 322
5.2 558558 558558 558
5.4 217217 217217 217
5.5 217217 217217 217
Date: Fri, 5 Feb 2010 05:36:12 -0800
Subject: Re: [R] mlogit
From: djmu...@gmail.com
To: hug...@hotmail.fr
Hi:
On Fri, Feb 5, 2010 at 5:23 A
Hi,
I'm using the function "mlogit" from the package "mlogit" in order to make a
multinomial model, with random and nested effect*. But, currently, even a basic
model as
> mlogit(c ~ lma + poids , MC, shape = "long", alt.var = "N")
Erreur dans drop(.Call("La_dgesv", a, as.matrix(b), tol, PACKAG
Hallo,
i am trying to use the mlogit package (which uses the multinom package
according to the documentation)
the multinom function works fine:
> fsex = multinom(country ~ sex, data=included_s_sex_MF)
# weights: 66 (42 variable)
initial value 8222.172926
iter 10 value 7647.481298
iter 20 va
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