[R-marketing-bugs] Error with mlogit

[sree datta]

In addition, I tried installing *mlogit version 0.4-2 *and the error
persists. I'm beginning to think the error is due to another library mlogit
depends on unless all the older versions and their requirements /
dependencies have changed.

> install.packages("~/Downloads/mlogit_*0.4-2*.tar.gz", repos=NULL,
type="source")
Installing package into ‘/home/sreezach/R/x86_64-pc-linux-gnu-library/4.0’
(as ‘lib’ is unspecified)
* installing *source* package ‘mlogit’ ...
** package ‘mlogit’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation
path
* DONE (mlogit)
> library(mlogit)
> cbc.mlogit <- mlogit.data(data=cbc.df, choice="choice", shape="long",
+ varying =3:6, alt.levels= paste("pos" ,1:3), id.var="resp.id ")
Error in guess(varying) :
 failed to guess time-varying variables from their names
In addition: Warning message:
In dfidx::dfidx(data = data, dfa$idx, drop.index = dfa$drop.index,  :
 the levels shouldn't be provided with a data set in wide format


On Thu, Oct 29, 2020 at 6:47 PM sree datta <sreedta8 at gmail.com> wrote:

> Hi
>
> I was training some colleagues on use of mlogit (version 1.0-1 as
> specified in the errata) for cbc using R and your example data set cbc.df
> in the book. It still failed. Here is the output. I installed the package
> from a local file
>
> > install.packages("~/Downloads/mlogit_*1.0-1*.tar.gz", repos=NULL,
> type="source")
> Installing package into ‘/home/datasci/R/x86_64-pc-linux-gnu-library/4.0’
> (as ‘lib’ is unspecified)
> * installing *source* package ‘mlogit’ ...
> ** package ‘mlogit’ successfully unpacked and MD5 sums checked
> ** using staged installation
> ** R
> ** data
> ** inst
> ** byte-compile and prepare package for lazy loading
> ** help
> *** installing help indices
> ** building package indices
> ** installing vignettes
> ** testing if installed package can be loaded from temporary location
> ** testing if installed package can be loaded from final location
> ** testing if installed package keeps a record of temporary installation
> path
> * DONE (mlogit)
> > library(mlogit)
> > cbc.mlogit <- mlogit.data(data=cbc.df, choice="choice", shape="long",
> + varying =3:6, alt.levels= paste("pos" ,1:3), id.var="resp.id ")
> Error in guess(varying) :
>  failed to guess time-varying variables from their names
> In addition: Warning message:
> In dfidx::dfidx(data = data, dfa$idx, drop.index = dfa$drop.index,  :
>  the levels shouldn't be provided with a data set in wide format
>
> Next I tried version 1.0-0 of mlogit but no success still:
>
> > install.packages("~/Downloads/mlogit_1.0-0.tar.gz", repos=NULL,
> type="source")
> Installing package into ‘/home/sreezach/R/x86_64-pc-linux-gnu-library/4.0’
> (as ‘lib’ is unspecified)
> * installing *source* package ‘mlogit’ ...
> ** package ‘mlogit’ successfully unpacked and MD5 sums checked
> ** using staged installation
> ** R
> ** data
> ** inst
> ** byte-compile and prepare package for lazy loading
> ** help
> *** installing help indices
> ** building package indices
> ** installing vignettes
> ** testing if installed package can be loaded from temporary location
> ** testing if installed package can be loaded from final location
> ** testing if installed package keeps a record of temporary installation
> path
> * DONE (mlogit)
> > library(mlogit)
> > cbc.mlogit <- mlogit.data(data=cbc.df, choice="choice", shape="long",
> + varying =3:6, alt.levels= paste("pos" ,1:3), id.var="resp.id ")
> Error in guess(varying) :
>  failed to guess time-varying variables from their names
> In addition: Warning message:
> In dfidx::dfidx(data = data, dfa$idx, drop.index = dfa$drop.index,  :
>  the levels shouldn't be provided with a data set in wide format
>
> Any help/feedback would be great. Thanks for an excellent book - my top
> go-to reference book for my day-to-day R analytics and one I recommend the
> most for a lot of colleagues and new R learners in analytics
>
> Sree
>
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