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https://issues.apache.org/jira/browse/SPARK-9316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14718267#comment-14718267
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Felix Cheung commented on SPARK-9316:
-------------------------------------
The string form is not listed in the code example in the documentation, please
see:
{code}
#' # Columns can be selected using `[[` and `[`
#' df[[2]] == df[["age"]]
#' df[,2] == df[,"age"]
#' df[,c("name", "age")]
#' # Or to filter rows
#' df[df$age > 20,]
#' # DataFrame can be subset on both rows and Columns
#' df[df$name == "Smith", c(1,2)]
#' df[df$age %in% c(19, 30), 1:2]
#' subset(df, df$age %in% c(19, 30), 1:2)
#' subset(df, df$age %in% c(19), select = c(1,2))
{code}
To clarify, I wanted to keep the code simple thus I had opt'ed to take out that
implementation instead. Therefore
{code}
df["age in (19, 30)",]
{code}
is not supported at this point. As you have pointed out, Deborah, one could use
`transform` with that syntax if needed.
> Add support for filtering using `[` (synonym for filter / select)
> -----------------------------------------------------------------
>
> Key: SPARK-9316
> URL: https://issues.apache.org/jira/browse/SPARK-9316
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR
> Reporter: Shivaram Venkataraman
> Assignee: Felix Cheung
> Fix For: 1.6.0, 1.5.1
>
>
> Will help us support queries of the form
> {code}
> air[air$UniqueCarrier %in% c("UA", "HA"), c(1,2,3,5:9)]
> {code}
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