Paul

I tested your suggestion of use the BIGLM package. With this package, model
run with out any problem.

regards


2011/9/22 David Winsemius <dwinsemius@comcast.net>

>
> On Sep 22, 2011, at 5:00 PM, Mario Montecinos Carvajal wrote:
>
>  Michale and Paul
>>
>> Thanks for your quick response.
>>
>> Michael, I am running a 32bit version of R
>>
>>  sessionInfo()
>>>
>> R version 2.11.1 (2010-05-31)
>> i386-pc-mingw32
>>
>>
>> Paul, the dimension of the Data Frame with I am workis is
>> dim(d)
>>
>>> [1] 70174    11
>>>
>> And the size of the file that contains the data is 2946 Kb
>>
>
> Not a very big dataset for a workspace that should be 2GB or more.
>
>
>
>>
>> The script that I use for manage the data is:
>>
>> #clean the workspace
>> rm(list = ls(all = TRUE))
>>
>
> I hate it when people put that code in without a warning and preferably
> commented out. Some us boobs have been known to paste in code without
> mentally single stepping through it.
>
>
>
>> #Increase the memory size
>> memory.limit(size=4000)
>>
>> #Set Directory of WorkSpace where whe have the data
>> setwd('C:/Users/XXX/XXX/R/**XXXX')
>>
>> #load data
>> dat <- read.table('dat_fin_age.txt')
>>
>> #delete empty registry
>> d<-na.omit(dat)
>> remove(dat) # remove dat (intermedia object) for release resource
>>
>> #Asigned the name to the variables in the data
>> names(d)<-
>> c('pesq','year','month','sex',**'length','weigth','mature','**
>> age','soi','temp','k')
>>
>
> Bad idea to use "length" as a variable name. It is a function name.
>
>
>
>> #define the ages over the analysis is focuses.
>> minage<-1 # minimum age
>> maxage<-6 # maximum age
>>
>
> At this point you should have offered:
>
>  str(d)
>
>
>
>> # One of the diferent lm I have been tested
>>
>>
>>
> You are constructing a 5-way interaction that will have way more
> interactions than you will know what to do with. Why not start out with a
> simple model and move "up" from there? If these ages and years are integer
> valued then you may not have enough  data to support such a model with only
> 70k records.
>
> What do these models tell you?
>
> l6w.lin <- lm(length~as.factor(age) + as.factor(year) + as.factor(sex) +soi
> + k,
>
> Or:
>
> l6w.2way <- lm(length~ (as.factor(age) + as.factor(year) + as.factor(sex)
> +soi + k)^2 ,
>
>
>
>  data=d[d$age
>> %in% minage:maxage,])
>>
>
> A much safer way to handle this would be:
>
> data=subset(d, age >= minage & age <= maxage)
>
> %in% is a set operation and you are passing it a vector of integers rather
> than a range.
>
>
>
>
>> Today I will prove your recommendation to use the package biglm
>>
>
> Should not be necessary. The problem lies elsewhere.
>
>
>
>> Thanks to both for your Help
>>
>> Regards
>>
>> 2011/9/22 Paul Hiemstra <paul.hiemstra@knmi.nl>
>>
>>  On 09/22/2011 04:00 AM, R. Michael Weylandt
>>> <michael.weylandt@gmail.com> wrote:
>>>
>>>> Are you running a 32bit or 64bit version of R? Type sessionInfo() to
>>>> see.
>>>>
>>>> Michael
>>>>
>>>
>>> ...in addition, how large is your dataset? Please provide us with a self
>>> contained example which reproduces this problem. You could take a look
>>> at the biglm package.
>>>
>>> regards,
>>> Paul
>>>
>>>  On Sep 21, 2011, at 10:41 PM, Mario Montecinos Carvajal <
>>>>
>>> mariomontecinos@gmail.com> wrote:
>>>
>>>>
>>>>  Hi
>>>>>
>>>>> I am a new user of the mail list.
>>>>>
>>>>> Mi problem occurs when I try to test a lineal model (lm), becouse
>>>>> appear
>>>>>
>>>> the
>>>
>>>> messaje "Error: cannot allocate vector of size xxx"
>>>>>
>>>>> The data frame whit I am working, Have
>>>>>
>>>>>  dim(d)
>>>>>>
>>>>> [1] 70174    11
>>>>>
>>>>> and the function i am test is:
>>>>>
>>>>>
>>>>>  lm(length~as.factor(age)*as.**factor(year)*as.factor(sex)***
>>> soi*k,data=d[d$age
>>>
>>>> %in% minage:maxage,])
>>>>>
>>>>> I tried with a diferent options for solve this problem, but any one
>>>>> give
>>>>>
>>>> me
>>>
>>>> results.
>>>>>
>>>>> I tried with:
>>>>>
>>>>> Change in Function: memory.limit(size=4000)
>>>>>
>>>>> Change the setting in Windows using  BCDEdit /set
>>>>>
>>>>> Change in the memory availability for R, change the path of the program
>>>>> (suggested for other user)
>>>>>
>>>>> My computer have 4GB RAM, Have 20 GB of Virtual Memory, HDD 300 GB with
>>>>>
>>>> 200
>>>
>>>> GB of free space and Windows 7 as OS and my R version is 2.11.1
>>>>>
>>>>> I need solve this problem, any help or suggestion will be very well
>>>>> received.
>>>>>
>>>>> I've been thinking in change the OS, but this is may last option.
>>>>>
>>>>> Regards
>>>>>
>>>>> I read
>>>>>
>>>>
>
> David Winsemius, MD
> West Hartford, CT
>
>


-- 
Mario Montecinos C.
Biologo Marino
Dr (c) en Ciencias
Universidad Austral de Chile


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