Re: [R] Error Message With the "MCMCmixfactanal" Function

2020-11-11 Thread Jeff Newmiller
Someone may feel like tackling this anyway, but technically it is off-topic 
here, as this forum is about the R language rather than specific contributed 
packages. (http://www.r-project.org/posting-guide.html). Lookup the package 
DESCRIPTION file on CRAN and if it does not mention a recommended support forum 
then correspond with the package maintainer.

On November 11, 2020 2:06:03 PM PST, Ziad Elmously 
 wrote:
>To Whom It May Concern,
>
>In am using the script below to test the function "MAMCmixfactanal" in
>the package "MCMCpack".
>
>library(MCMCpack)
>data(PErisk)
>post <- MCMCmixfactanal(~courts+barb2+prsexp2+prscorr2+gdpw2,
>factors=1, data=PErisk, lambda.constraints=
>list(courts=list(2,"-")),burnin=5000,mcmc=100,thin=50,verbose=500,L0=.25,store.lambda=TRUE,store.scores=TRUE,tune=1.2)
>plot(post)
>summary(post)
>
>However, I get the error message below.
>
>Acceptance rates:
>Error in print.default(t(accepts)/(posterior$burnin + posterior$mcmc), 
>:
>  invalid printing width
>
>Your help would be greatly appreciated.
>
>Kind regards,
>
>Ziad Elmously
>Director, Advanced Analytics & Data Science
>
>MetrixLab, a Macromill Group company
>Chalfont, PA, USA
>T (+1) 267 298 1159 � M (+1) 267 218 4724
>ziad.elmou...@us.metrixlab.com �
>www.metrixlab.com
>
>How do you create a powerful packaging design?
>Discover our 9 best practices. Read our whitepaper
>>
>
>
>   [[alternative HTML version deleted]]

-- 
Sent from my phone. Please excuse my brevity.

__
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Re: [R] Error Message With the "MCMCmixfactanal" Function

2020-11-11 Thread Bert Gunter
Please read and follow the posting guide linked below, especially this:

"For questions about functions in standard packages distributed with R (see
the FAQ Add-on packages in R
), ask
questions on R-help.
If the question relates to a *contributed package* , e.g., one downloaded
from CRAN, try contacting the package maintainer first. You can also use
find("functionname") and packageDescription("packagename") to find this
information. *Only* send such questions to R-help or R-devel if you get no
reply or need further assistance. This applies to both requests for help
and to bug reports. "

Note: also ?maintainer for finding emails of maintainers.

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Nov 11, 2020 at 5:30 PM Ziad Elmously <
ziad.elmou...@us.metrixlab.com> wrote:

> To Whom It May Concern,
>
> In am using the script below to test the function "MAMCmixfactanal" in the
> package "MCMCpack".
>
> library(MCMCpack)
> data(PErisk)
> post <- MCMCmixfactanal(~courts+barb2+prsexp2+prscorr2+gdpw2, factors=1,
> data=PErisk, lambda.constraints=
>
> list(courts=list(2,"-")),burnin=5000,mcmc=100,thin=50,verbose=500,L0=.25,store.lambda=TRUE,store.scores=TRUE,tune=1.2)
> plot(post)
> summary(post)
>
> However, I get the error message below.
>
> Acceptance rates:
> Error in print.default(t(accepts)/(posterior$burnin + posterior$mcmc),  :
>   invalid printing width
>
> Your help would be greatly appreciated.
>
> Kind regards,
>
> Ziad Elmously
> Director, Advanced Analytics & Data Science
>
> MetrixLab, a Macromill Group company
> Chalfont, PA, USA
> T (+1) 267 298 1159   M (+1) 267 218 4724
> ziad.elmou...@us.metrixlab.com
> www.metrixlab.com
>
> How do you create a powerful packaging design?
> Discover our 9 best practices. Read our whitepaper > >
>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.