> On Aug 14, 2017, at 12:22 PM, fs <m...@friedrich-schuster.de> wrote: > > Hi, and sorry for asking such an unspecific question. > > Does anybody know of statistical / data mining methods that are available in > R > that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS > Enterprise Miner. I don't expect a complete list, just two or three examples > or hints where and what to look for. > > I found some older comparisons, and the R methods mentioned there (GLMET, RF, > ADABoost) are now supported by SAS (at least to some degree). > > And there exists a (massive) list of available models for the caret package > here: https://rdrr.io/cran/caret/man/models.html, but it's hard to analyze > the > complete list. > > (I'm trying to answer a question of a colleague).
It wasn't clear whether it was statistical procedures themselves or connections to back-end data and machine learning packages might be the metric of comparison. I also thought the question would have been better posted on a SAS website, since the CRAN Task Views provide an even more complete listing and most of us are not current users of the SAS Enterprise Miner Suite. The SAS users might have a better notion of their capacities and limitations. You might start by comparing: 1) https://www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-enterprise-miner-101369.pdf ... although that did not appear to be a comprehensive listing of available model types. With: 2a) https://cran.r-project.org/web/views/MachineLearning.html 2b) https://cran.r-project.org/web/views/Bayesian.html 2c) https://cran.r-project.org/web/views/ExtremeValue.html 2d) https://cran.r-project.org/web/views/FunctionalData.html 2e) https://cran.r-project.org/web/views/Robust.html 2f) https://cran.r-project.org/web/views/SpatioTemporal.html 2g) https://cran.r-project.org/web/views/Spatial.html Left out several Task Views since they might be probably too "ordinary", but you should look at all of them: https://cran.r-project.org/web/views/ Other websites possibly outlining areas of possible difference: https://tensorflow.rstudio.com/ https://blog.rstudio.com/2016/09/27/sparklyr-r-interface-for-apache-spark/ https://spark.rstudio.com/reference/sparklyr/latest/ml_multilayer_perceptron.html https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/TensorFlow-MNIST/td-p/318708 https://thomaswdinsmore.com/2017/04/05/sas-peddles-open-source-fud/ -- David Winsemius Alameda, CA, USA 'Any technology distinguishable from magic is insufficiently advanced.' -Gehm's Corollary to Clarke's Third Law ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
