Dear Teresa, using such services will only speed up the imputations significantly if you can split up/parallelize your code.
And maybe you can use more cores on your local machine by using packages like doSNOW, foreach and/or plyr. There are a lot of examples on the web. Kind regards Arne -----Ursprüngliche Nachricht----- Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im Auftrag von Mª Teresa Martinez Soriano Gesendet: Dienstag, 5. August 2014 12:35 An: r-help@r-project.org Betreff: [R] Library(mice) too slow for my dataset Hi to everyone I have a big dataset (40.000 columns (variables) and 50 rows) I want to impute a lot of variables with library(mice), the problem is that this process is too slow (because of my dataset, the library is brilliant). I am looking some options like Amazon web services, ( http://aws.amazon.com/es/datapipeline/developer-resources/ ) Has anyone used this service or knows other options? Any ideas are welcome. Thanks in advance ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
