Hi,
With reference to the mail below, I have large datasets, coming from various
different sources, which I can read into filebacked big.matrix using library
bigmemory. I want to merge them all into one 'big.matrix' object. (Later, I
want to run regression using library 'biglm').
I am unsuccessfully trying to do this from quite some time now. Can you
please suggest some way? Am I missing some already available function?
Even a functionality of the following will work for me:
* Just appending more columns in an existing big.matrix object (not
merging).
* If the individual datasets are small enough to be read in usual R, just
the combined dataset is huge.
Any thoughts are welcome.
Thanks,
Utkarsh
-------- Original Message --------
Subject: adding more columns in big.matrix object of bigmemory package
Date: Thu, 16 Dec 2010 18:29:38 +0530
From: utkarshsinghal [1]<utkarsh.sing...@global-analytics.com>
To: r help [2]<r-h...@stat.math.ethz.ch>
Hi all,
Is there any way I can add more columns to an existing filebacked big.matrix
object.
In general, I want a way to modify an existing big.matrix object, i.e., add
rows/columns, rename colnames, etc.
I tried the following:
> library(bigmemory)
> x =
read.big.matrix("test.csv",header=T,type="double",shared=T,backingfile="test
.backup",descriptorfile="test.desc")
> x[,"v4"] = "new"
Error in mmap(j, colnames(x)) :
Couldn't find a match to one of the arguments.
(The above functionality is presently there in usual data.frames in R.)
Thanks in advance,
Utkarsh
References
1. mailto:utkarsh.sing...@global-analytics.com
2. mailto:r-h...@stat.math.ethz.ch
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