Hi, 1. The main difference between SparkR and R is that "SparkR" can handle bigdata.
Yes, you can use other core libraries inside SparkR(not algos like lm(),glm(),kmean()) 2.Yes, core R libraries will not be distributed. You can use function from these libraries which are applicabe for mapper kind of thing. funnctions which can be applied on each line individually. 3. SparkR is an wrapper for an underlying scala code, Whereas for R it is not. R gives you complete flexibility to do any machine learning u want, While SparkR is still in developing stage. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SparkR-vs-R-tp24772p24778.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
