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.hiems...@knmi.nl>
On 09/22/2011 04:00 AM, R. Michael Weylandt
<michael.weyla...@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 <
mariomonteci...@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
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