[R] silent loading of packages
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Jan 30 23:24:25 CET 2007
It depends on the 'message'. In this case
> library(VGAM, warn.conflicts=FALSE)
> suppressMessages(library(VGAM))
both work. (How did you manage to miss the first?)
In general, it depends on whether the 'message' is a message in the sense
of message() or produced some other way. sink() would work, but these are
*messages*, so how did you use it?
On Tue, 30 Jan 2007, johan Faux wrote:
> I would like to turn off all the messages during
> library(aPackage) or
> require(aPackage)
>
> I tried different commands: invisible, capture.output, sink but none of them is working.
>
> For example, loading VGAM, gives a lot of unnecessary messages:
>
>> library(VGAM)
>
> Attaching package: 'VGAM'
>
>
> The following object(s) are masked from package:splines :
>
> bs
>
> The following object(s) are masked from package:splines :
>
> ns
>
>
> The following object(s) are masked from package:boot :
>
> logit
>
> The following object(s) are masked from package:boot :
>
> simplex
>
>
> The following object(s) are masked from package:stats :
>
> glm
>
> The following object(s) are masked from package:stats :
>
> lm
>
> The following object(s) are masked from package:stats :
>
> poly
>
> The following object(s) are masked from package:stats :
>
> predict.glm
>
> The following object(s) are masked from package:stats :
>
> predict.lm
>
> The following object(s) are masked from package:stats :
>
> predict.mlm
>
>
> The following object(s) are masked from package:base :
>
> scale.default
>
>
>
> Any hint/help will be appreciated.
>
>
>
>
> ---------------------------------
> Expecting? Get great news right away with email Auto-Check.
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> 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.
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
More information about the R-help
mailing list