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https://issues.apache.org/jira/browse/SPARK-6813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14604333#comment-14604333
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Vincent Warmerdam commented on SPARK-6813:
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What is the current consensus on the use of magrittr? It offers the pipe
operator (%>%) which allows for more elegant code. Dplyr is heavily dependant
on it.
### example 1
log(sqrt(2))
2 %>% sqrt %>% log
### example 2
head(summarize(groupBy(dist_df, df$type), count = n(df$auc)))
dist_df %>%
groupBy(df$type) %>%
summarize(count = n(df$id)) %>%
head
The %>% operator creates more readable code and still allows the DAG to get
executed as normal. Should this not be part of the style guide for sparkR?
> SparkR style guide
> ------------------
>
> Key: SPARK-6813
> URL: https://issues.apache.org/jira/browse/SPARK-6813
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Reporter: Shivaram Venkataraman
>
> We should develop a SparkR style guide document based on the some of the
> guidelines we use and some of the best practices in R.
> Some examples of R style guide are:
> http://r-pkgs.had.co.nz/r.html#style
> http://google-styleguide.googlecode.com/svn/trunk/google-r-style.html
> A related issue is to work on a automatic style checking tool.
> https://github.com/jimhester/lintr seems promising
> We could have a R style guide based on the one from google [1], and adjust
> some of them with the conversation in Spark:
> 1. Line Length: maximum 100 characters
> 2. no limit on function name (API should be similar as in other languages)
> 3. Allow S4 objects/methods
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