[Rd] LazyData: no / yes

Christophe Genolini cgenolin at u-paris10.fr
Tue Nov 6 23:13:43 CET 2012


I get it from windows tack manager (under Window 7). I guess it is in K something.
My point was not about "how big is my dataset" (anyway, it is a fake dataset, so it can be as big as 
I want) but more about "where on hell are lost the 52 760 - 39 668 K ?"
:-)
Christophe

>   
> On Nov 6, 2012, at 1:03 PM, Christophe Genolini wrote:
>
>> Hi the list
>>
>> I have package foo0 with a big dataset 'myData'.
>> In DESCRIPTION, if I use 'LazyData: no', then I get:
>>
>> - when I open a R session : memory used=20 908
>> - when I attach 'library(foo0)' : memory used=24364
>> - then I load the set 'data(myData)' : memory used=39 668
>>
>> If I use LazyData: yes', then I get
>> - when I open a R session : memory used=20 908
>> - when I attach 'library(foo0)' : memory used=52 760.
>>
>> In this second example, after 'library(foo0)', I was expecting the memory to rize up to 39 668, not to 52 760... Where does the difference come from?
>>
> What do you mean by "memory used" - i.e. where do you get that from? After GC?
> This certainly doesn't look like a "big dataset" by the numbers - I would classify that as tiny :)
>
> Cheers,
> Simon
>
>
>> Thanks
>> Christophe
>>
>>
>> -- 
>> Christophe Genolini
>> Maître de conférences en bio-statistique
>> Vice président Communication interne et animation du campus
>> Université Paris Ouest Nanterre La Défense
>>
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
>>
>


-- 
Christophe Genolini
Maître de conférences en bio-statistique
Vice président Communication interne et animation du campus
Université Paris Ouest Nanterre La Défense



More information about the R-devel mailing list