[R] Statistical / data mining methods in R and not in SAS?

[David Winsemius]

> On Aug 14, 2017, at 12:22 PM, fs <mail at 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