Displaying 3 results from an estimated 3 matches for "backingpath".
Did you mean:
backing_path
2009 Jun 02
2
bigmemory - extracting submatrix from big.matrix object
...can be helpful.
_Problem-1:
_
I am using "read.big.matrix" function to create a filebacked big matrix
of my data and get the following warning:
> x =
read.big.matrix("/home/utkarsh.s/data.csv",header=T,type="double",shared=T,backingfile
= "backup", backingpath = "/home/utkarsh.s")
Warning message:
In filebacked.big.matrix(nrow = numRows, ncol = numCols, type = type, :
A descriptor file has not been specified. A descriptor named
backup.desc will be created.
However there is no such argument in "read.big.matrix". Although there...
2010 Apr 23
2
bigmemory package woes
...ging. I work by the way on Red Hat
Linux, 64 bit R version 10.
Simplest problem is just saving matrices. When i do something like
r<-matrix(rnorm(100), nr=10); librarybigmemory)
for(i in 1:3) xx<-as.big.matrix(r, backingfile=paste("r",i, sep="",
collapse=""), backingpath=MyDirName)
it works just fine -- saves small matrices as three different matrices on
disc. However, when i try it with real size, like
with r<-matrix(normal(50000000), nr=1000)
I am either getting seg fault on saving the third big matrix, or hang
forever.
Am i doing something obviously wro...
2012 May 04
2
Can't import this 4GB DATASET
...e you can in read.table()).
###/*MY ATTEMPT USING BIGMEMORY*/###
#I can't even import "dataset2.txt", so I'm trying to figure out this before
I try on the big "dataset.txt".
E <- read.big.matrix("dataset2.txt", skip = 3,
backingpath = getwd(),
sep = " ",
type = "double",
)
#results in:
E[10,]
[1] NA NA NA 10001.0000 NA NA
NA 1.0000 NA NA NA NA 11.0000
NA...