> rawData <- read.celfiles(celfiles)
Platform design info loaded.
Reading in : GSE42902/CEL/GSM1053073_S0608F0055a.CEL.gz
Reading in : GSE42902/CEL/GSM1053074_S0608F0051.CEL.gz
Reading in : GSE42902/CEL/GSM1053075_S0608F0048.CEL.gz
Reading in : GSE42902/CEL/GSM1053076_S0608F0046.CEL.gz
Reading in : GSE42902/CEL/GSM1053077_S0608F0057.CEL.gz
Reading in : GSE42902/CEL/GSM1053078_S0608F0049.CEL.gz
Reading in : GSE42902/CEL/GSM1053079_S0608F0045.CEL.gz
Reading in : GSE42902/CEL/GSM1053080_S0608F0047.CEL.gz
Reading in : GSE42902/CEL/GSM1053081_S0608F0059.CEL.gz
Reading in : GSE42902/CEL/GSM1053082_S0608F0052.CEL.gz
Reading in : GSE42902/CEL/GSM1053083_S0608F0060.CEL.gz
Reading in : GSE42902/CEL/GSM1053084_S0608F0056.CEL.gz
Reading in : GSE42902/CEL/GSM1053085_S0608F0058.CEL.gz
Reading in : GSE42902/CEL/GSM1053086_S0608F0050.CEL.gz
Reading in : GSE42902/CEL/GSM1053087_S0608F0054.CEL.gz
Reading in : GSE42902/CEL/GSM1053088_S0608F0053.CEL.gz
Error: cannot allocate vector of size 800.0 Mb
In addition: Warning messages:
1: In dimnames(elt) <- lapply(dimnames(elt), unname) :
Reached total allocation of 1941Mb: see help(memory.size)
2: In dimnames(elt) <- lapply(dimnames(elt), unname) :
Reached total allocation of 1941Mb: see help(memory.size)
3: In dimnames(elt) <- lapply(dimnames(elt), unname) :
Reached total allocation of 1941Mb: see help(memory.size)
4: In dimnames(elt) <- lapply(dimnames(elt), unname) :
Reached total allocation of 1941Mb: see help(memory.size)
> rawData
character(0)
I have Run this command but error occured and also Character count is (0). Please can anyone Help me to sort this error.
•
written
by
12021560-040
It seems that you need a computer with more RAM resources Hoping you are not using a 32bits R, since it can allocate less memory than a 64 bits R
I have used 64bit R and also my window is 64bits.. But still facing this problem. :(
Still is needed to be known the amount of RAM memory set in your computer. What operative system are you using ?
In addition, run this commands into R
memory.limit() # It will provide the memory available
And read this article
Suppose you need 2000 memory size, I think you could simply run this code memory.limit(size=2000) and then run your script(also you could give more size to your memory size), In my case I set my machine memory size to 190000
Log in to answer this question.
How much memory do you have on this machine? Are you using 32-bit R and/or OS? Are you able to load a smaller number of files (~5)?