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Shivaram Venkataraman commented on SPARK-6812: ---------------------------------------------- Regarding the name conflicts occurring between the Scala API, other R packages etc. there are a couple of points - IMHO we don't need to mimic the Scala API always as SparkR is more geared towards R users than towards users who are switching to it from Scala. So we should still look to override common R functions for DataFrames or Machine learning so that we can maintain familiarity for R-users - Also I agree with you that naming conflicts exist even when you load three or four R related packages (without SparkR), so I think the best we can do is to load SparkR at the top of default packages list as you mention. Regarding sortDF, I was actually planning to name it `arrange` after the dply call as part of https://issues.apache.org/jira/browse/SPARK-7231 -- Let me know if this sounds good to you. > filter() on DataFrame does not work as expected > ----------------------------------------------- > > Key: SPARK-6812 > URL: https://issues.apache.org/jira/browse/SPARK-6812 > Project: Spark > Issue Type: Bug > Components: SparkR > Reporter: Davies Liu > Assignee: Sun Rui > Priority: Blocker > > {code} > > filter(df, df$age > 21) > Error in filter(df, df$age > 21) : > no method for coercing this S4 class to a vector > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org