[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