Thanks, I've exported it now from BiocGenerics. It shouldn't cause a
duplication.

Michael


On Mon, Dec 2, 2013 at 12:12 PM, Robert Castelo <robert.cast...@upf.edu>wrote:

>  hi Michael, thanks for your quick response, comments below..
>
>
> On 12/2/13 6:29 PM, Michael Lawrence wrote:
>
>  A DataFrame being a SimpleList, coercion to list is immediate, so just
> coerce to a list instead of a data.frame.
>
>  do.call(pmax, as.list(DataFrame(x=1:10,y=2:11)))
>
>   thanks for tip, so i understand this route does not duplicate the
> object in memory, right?
>
>
>  I added a do.call method in IRanges that does this for you.
>
>  that's great, i think however the new do.call() method still needs to be
> exported:
>
> library(IRanges)
>
>
> do.call(pmax, DataFrame(x=1:10, y=2:11))
> Error in do.call(pmax, DataFrame(x = 1:10, y = 2:11)) :
>   second argument must be a list
> IRanges::do.call(pmax, DataFrame(x=1:10, y=2:11))
> Error: 'do.call' is not an exported object from 'namespace:IRanges'
>
> sessionInfo()
> R Under development (unstable) (2013-10-23 r64103)
> Platform: x86_64-apple-darwin12.5.0 (64-bit)
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>
>
> attached base packages:
> [1] parallel  stats     graphics  grDevices utils     datasets  methods
> [8] base
>
> other attached packages:
> [1] IRanges_1.21.13    BiocGenerics_0.9.1
>
>
> loaded via a namespace (and not attached):
> [1] stats4_3.1.0
>
>
> robert.
>
>
>
>
> On Mon, Dec 2, 2013 at 8:58 AM, Robert Castelo <robert.cast...@upf.edu>wrote:
>
>> hi,
>>
>> i would like to do the following:
>>
>> library(IRanges)
>>
>> do.call(pmax, data.frame(x=1:10, y=2:11))
>>  [1]  2  3  4  5  6  7  8  9 10 11
>>
>> with 'DataFrame' objects:
>>
>> do.call(pmax, DataFrame(x=1:10, y=2:11))
>> Error in do.call(pmax, DataFrame(x = 1:10, y = 2:11)) :
>>   second argument must be a list
>>
>> concretely with the metadata columns of GRanges objects, which are
>> DataFrame objects.
>>
>> currently i can do it by coercing back to DataFrame:
>>
>> do.call(pmax, as.data.frame(DataFrame(x=1:10, y=2:11)))
>>  [1]  2  3  4  5  6  7  8  9 10 11
>>
>> but if the GRanges object is large this becomes a significant overhead in
>> cpu and memory which i guess could be avoided by a pmax method working on
>> DataFrame objects directly.
>>
>>
>> thanks!!
>> robert.
>> ps: sessionInfo()
>> R Under development (unstable) (2013-10-20 r64082)
>> Platform: x86_64-unknown-linux-gnu (64-bit)
>>
>> locale:
>>  [1] LC_CTYPE=en_US.UTF8       LC_NUMERIC=C
>>  [3] LC_TIME=en_US.UTF8        LC_COLLATE=en_US.UTF8
>>  [5] LC_MONETARY=en_US.UTF8    LC_MESSAGES=en_US.UTF8
>>  [7] LC_PAPER=en_US.UTF8       LC_NAME=C
>>  [9] LC_ADDRESS=C              LC_TELEPHONE=C
>> [11] LC_MEASUREMENT=en_US.UTF8 LC_IDENTIFICATION=C
>>
>> attached base packages:
>> [1] parallel  stats     graphics  grDevices utils     datasets  methods
>> [8] base
>>
>> other attached packages:
>> [1] IRanges_1.21.10    BiocGenerics_0.9.0 vimcom_0.9-91 setwidth_1.0-3
>> [5] colorout_1.0-1
>>
>> loaded via a namespace (and not attached):
>> [1] stats4_3.1.0 tools_3.1.0
>>
>> _______________________________________________
>> Bioc-devel@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>
>
>
>

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