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https://issues.apache.org/jira/browse/SPARK-6841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14516057#comment-14516057
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Qian Huang edited comment on SPARK-6841 at 4/28/15 12:41 AM:
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Hi, Shivaram. Sorry for delay. Do you mean it would be better if we implement
it only as DataFrame API? On the other hand, i wonder if we need to create a
new R file (statcounter.R) like statcounter.py and use a S4 class to implement
it in this new R file.
was (Author: qhuang):
So, do you mean it would be better if we implement it only as DataFrame API? On
the other hand, i wonder if we need to create a new R file (statcounter.R) like
statcounter.py and use a S4 class to implement it in this new R file.
> Similar to `stats.py` in Python, add support for mean, median, stdev etc.
> -------------------------------------------------------------------------
>
> Key: SPARK-6841
> URL: https://issues.apache.org/jira/browse/SPARK-6841
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Reporter: Shivaram Venkataraman
>
> Similar to `stats.py` in Python, we should add support for mean, median,
> stdev etc. More specifically the functions we should support include
> 1. sum(rdd)
> 2. histogram(rdd, buckets)
> 3. mean(rdd)
> 4. variance(rdd)
> 5. stdev(rdd)
> 6. sampleStdev(rdd)
> 7. sampleVariance(rdd)
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