Thanks a lot Bill!
This works fine!
Useful to know regarding subset.
Charles
--
View this message in context:
http://r.789695.n4.nabble.com/mlogit-message-invalid-row-names-length-after-subsetting-data-tp4684465p4684470.html
Sent from the R help mailing list archive at Nabble.com.
__
> dd1 <- subset(dd, dd$Effect=='none')
Try using
dd1 <- dd[dd$Effect=='none', ]
instead of that call to subset(). subset() strips
the non-data.frame attributes from its output.
It may be easier to use the subset argument to mlogit,
as in mlogit(..., subset = Effect=="none").
Bill Dunlap
TIBC
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
Hi,
Try this:
Mult3$mode.ids
#[1] 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1
#Levels: 1 2 3 4 5 6
I guess the key is to have equal number of alternatives.
Mult3$mode.ids<- as.numeric(as.character(Mult3$mode.ids))
res<-mlogit.data(Mult3[-25,],shape="long",choice="CHOICE",alt.var="mode.id
-
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
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 develop a multi
Hi Achim:
Excellent points. Thank you so much for your prompt reply.
Tudor
--
View this message in context:
http://r.789695.n4.nabble.com/mlogit-and-model-based-recursive-partitioning-tp4644743p4644767.html
Sent from the R help mailing list archive at Nabble.com.
___
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
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
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
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
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<-
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
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
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
--
View this message in context: http:
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
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
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
29 matches
Mail list logo
