[R] save structure to be accesible later
Ivan Calandra
ivan.calandra at univ-reims.fr
Fri Feb 6 12:20:03 CET 2015
Hi,
I think that putting all your objects into one single list would be
easier, both to handle it and to save it.
To do it, you can create an empty list with 1000 elements before running
your function and then run your function in a loop (or something
similar) with the output of each run being saved in one element of the
big list.
Something like this:
big.list <- vector(mode="list", length=1000)
for (i in 1:1000){
big.list[[i]] <- your.function(...)
}
I also like to name the elements of my list, especially when the
structure gets complicated.
And then you just need to save big.list either with save() or with
R.utils::saveOjbect().
HTH,
Ivan
PS: answer to the list as well, so you have better chance to get better
answers.
--
Ivan Calandra, ATER
University of Reims Champagne-Ardenne
GEGENAA - EA 3795
CREA - 2 esplanade Roland Garros
51100 Reims, France
+33(0)3 26 77 36 89
ivan.calandra at univ-reims.fr
https://www.researchgate.net/profile/Ivan_Calandra
Le 06/02/15 09:13, Alaios a écrit :
> Thanks for the answer.Then I guess that your recommendation is to save
> each of these structures independently and then load those files one
> by one. I thought it would be easier to build a big list (I am not
> sure still how to do that) that contains the 1000 results of my
> function (with their respective sublists) and save that one once at my
> file.
> What do you think of this option?
>
> Regards
> Alex
>
>
> On Thursday, February 5, 2015 2:43 PM, Ivan Calandra
> <ivan.calandra at univ-reims.fr> wrote:
>
>
> Hi,
>
> I generally prefer using the functions saveObject() and loadObject()
> from the R.utils package. I like that you load directly to an object in
> the R workspace.
>
> HTH,
> Ivan
>
> --
> Ivan Calandra, ATER
> University of Reims Champagne-Ardenne
> GEGENAA - EA 3795
> CREA - 2 esplanade Roland Garros
> 51100 Reims, France
> +33(0)3 26 77 36 89
> ivan.calandra at univ-reims.fr <mailto:ivan.calandra at univ-reims.fr>
> https://www.researchgate.net/profile/Ivan_Calandra
>
> Le 05/02/15 14:07, Olivier Crouzet a écrit :
> > Hi, have a look at save() and load().
> >
> > You can save part of your workspace to a file (save()) and load it
> from this file (load()). Of course the file format is R specific (but
> its specifications are free) You may easily share the file with other
> R users.
> >
> > Olivier.
> >
> > --
> > Olivier Crouzet
> > LLING - Laboratoire de Linguistique de Nantes - EA3827
> > Université de Nantes
> >
> > -----Original Message-----
> > From: Alaios via R-help <r-help at r-project.org
> <mailto:r-help at r-project.org>>
> > Sender: "R-help" <r-help-bounces at r-project.org
> <mailto:r-help-bounces at r-project.org>>Date: Thu, 5 Feb 2015 12:57:42
> > To: R-help Mailing List<r-help at r-project.org
> <mailto:r-help at r-project.org>>
> > Reply-To: Alaios <alaios at yahoo.com <mailto:alaios at yahoo.com>>
> > Subject: [R] save structure to be accesible later
> >
> > Dear all,I have a function that returns the following list. At the
> end I will call my function 1000 times and I want to keep for each of
> these 1000 "results" (the structure as given below)in an order to be
> accessible later (Load the 1000 results and access them within a for
> loop for example)
> > How should I approach the issue?I would like to thank you for your
> exampleRegardsAlex
> > P,S The result of my function
> >
> >
> >
> > str(fitcass1)
> > List of 10
> > $ parameters :'data.frame': 2 obs. of 3 variables:
> > ..$ pi : num [1:2] 0.833 0.167
> > ..$ mu : num [1:2] 8828 110000
> > ..$ sigma: num [1:2] 18085 1543
> > $ se :'data.frame': 2 obs. of 3 variables:
> > ..$ pi.se : num [1:2] NA NA
> > ..$ mu.se : num [1:2] NA NA
> > ..$ sigma.se: num [1:2] NA NA
> > $ distribution: chr "gamma"
> > $ constraint :List of 8
> > ..$ conpi : chr "NONE"
> > ..$ conmu : chr "NONE"
> > ..$ consigma: chr "NONE"
> > ..$ fixpi : NULL
> > ..$ fixmu : NULL
> > ..$ fixsigma: NULL
> > ..$ cov : NULL
> > ..$ size : NULL
> > $ chisq : num 52.4
> > $ df : num 5
> > $ P : num 4.57e-10
> > $ vmat : num [1:5, 1:5] NA NA NA NA NA NA NA NA NA NA ...
> > $ mixdata :Classes ‘mixdata’ and 'data.frame': 11 obs. of 2
> variables:
> > ..$ X : num [1:11] 1e+04 2e+04 3e+04 4e+04 5e+04 6e+04 7e+04
> 8e+04 9e+04 1e+05 ...
> > ..$ count: int [1:11] 993 137 82 30 21 5 7 14 21 2 ...
> > $ usecondit : logi FALSE
> > - attr(*, "class")= chr "mix"
> >
> >
> >
> > [[alternative HTML version deleted]]
> >
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