Hi everyone, I am trying to perform a multiple imputation with mice on a dataset of about 13000 observations and 178 variables. I can start an "empty" imputation ("imp_start <- mice(data, maxit=0)"), but after a few minutes R stops with the following error message: Error: cannot allocate vector of size 2.0 Gb In addition: Warning messages: 1: In col(value) : Reached total allocation of 8078Mb: see help(memory.size) 2: In col(value) : Reached total allocation of 8078Mb: see help(memory.size) 3: In unique.default(x) : Reached total allocation of 8078Mb: see help(memory.size) 4: In unique.default(x) : Reached total allocation of 8078Mb: see help(memory.size) 5: In unique.default(x) : Reached total allocation of 8078Mb: see help(memory.size) 6: In unique.default(x) : Reached total allocation of 8078Mb: see help(memory.size)
I am using R (with R Studio) on Windows 7, my computer has a total of 8 GB RAM. Following advice I found on the internet, I installed the newest R-version (64-bit) and tried the following commands: memory.size(max = F) memory.limit(size=NA) But I still get the same error. Now I am wondering, if my dataset is really to large for mice or R? Or is there any other setting I could use to increase memory size for R? I would really appreciate if anyone who is familiar with this problem would share their insights... Thanks, Jen --- Jennifer Lorenz, M.A. Georg-August-Universit�t G�ttingen Sozialwissenschaftliche Fakult�t Institut f�r Erziehungswissenschaft Lehrstuhl Schulp�dagogik / Empirische Schulforschung e-mail: jlor...@uni-goettingen.de<mailto:jlor...@uni-goettingen.de> phone: 0551-39-21411 adress: Waldweg 26, 37073 G�ttingen room: 8.106 [[alternative HTML version deleted]]
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