I'm a beginner in R and, therefore, I don't know how serious my trouble is.
After running a script:
**
*t**<-c(14598417794,649693)*
*data**=data.frame(read.spss("C:\\Ginters\\Kalibracija\\cal_data.sav"))*
*Xs=**as.matrix(data[,1:2])
*
*koef**=data.frame(read.spss("C:\\Ginters\\Kalibracija\\f.sav"))
*
*piks=**as.matrix(koef[,1**])*
*g=regressionestimator(Xs,piks,t)*
I get:
*Error: cannot allocate vector of size 1614604 Kb
In addition: Warning messages:
1: Reached total allocation of 255Mb: see help(memory.size)
2: Reached total allocation of 255Mb: see help(memory.size) *
My OS is Win 2000 Proffesional.
Those 2 objects are of sizes
*> object.size(Xs)
[1] 805404
> object.size(piks)
[1] 115128*
accordingly. The 2 files use only 142KB and 60KB accordingly.
Why does memory need so much (1.6 GB) space? How can I enlarge it? Is it
possible to allocate a part of memory used to the hard drive? Or, is the
trouble only with my script?
Best regards,
Ginters
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