[jira] [Updated] (SPARK-13905) Change signature of as.data.frame() to be consistent with the R base package
[
https://issues.apache.org/jira/browse/SPARK-13905?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sun Rui updated SPARK-13905:
Description: (was: SparkR provides a method as.data.frame() to collect
a SparkR DataFrame into a local data.frame. But it conflicts the methods with
the same name in the R base package.
For example,
{code}
code as follows -
countData <- matrix(1:100,ncol=4)
condition <- factor(c("A","A","B","B"))
dds <- DESeqDataSetFromMatrix(countData, DataFrame(condition), ~ condition)
Works if i dont initialize the sparkR environment.
if I do library(SparkR) and sqlContext <- sparkRSQL.init(sc) it gives
following error
> dds <- DESeqDataSetFromMatrix(countData, as.data.frame(condition), ~
> condition)
Error in DataFrame(colData, row.names = rownames(colData)) :
cannot coerce class "data.frame" to a DataFrame
{code}
The implementation of as.data.frame() in SparkR can be improved to avoid
conflict with those in the R base package.)
> Change signature of as.data.frame() to be consistent with the R base package
>
>
> Key: SPARK-13905
> URL: https://issues.apache.org/jira/browse/SPARK-13905
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
>Affects Versions: 1.6.1
>Reporter: Sun Rui
>
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[jira] [Updated] (SPARK-13905) Change signature of as.data.frame() to be consistent with the R base package
[
https://issues.apache.org/jira/browse/SPARK-13905?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sun Rui updated SPARK-13905:
Summary: Change signature of as.data.frame() to be consistent with the R
base package (was: Change implementation of as.data.frame() to avoid conflict
with the ones in the R base package)
> Change signature of as.data.frame() to be consistent with the R base package
>
>
> Key: SPARK-13905
> URL: https://issues.apache.org/jira/browse/SPARK-13905
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
>Affects Versions: 1.6.1
>Reporter: Sun Rui
>
> SparkR provides a method as.data.frame() to collect a SparkR DataFrame into a
> local data.frame. But it conflicts the methods with the same name in the R
> base package.
> For example,
> {code}
> code as follows -
> countData <- matrix(1:100,ncol=4)
> condition <- factor(c("A","A","B","B"))
> dds <- DESeqDataSetFromMatrix(countData, DataFrame(condition), ~ condition)
> Works if i dont initialize the sparkR environment.
> if I do library(SparkR) and sqlContext <- sparkRSQL.init(sc) it gives
> following error
> > dds <- DESeqDataSetFromMatrix(countData, as.data.frame(condition), ~
> > condition)
> Error in DataFrame(colData, row.names = rownames(colData)) :
> cannot coerce class "data.frame" to a DataFrame
> {code}
> The implementation of as.data.frame() in SparkR can be improved to avoid
> conflict with those in the R base package.
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[jira] [Updated] (SPARK-13905) Change signature of as.data.frame() to be consistent with the R base package
[ https://issues.apache.org/jira/browse/SPARK-13905?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sun Rui updated SPARK-13905: Description: change the signature of as.data.frame() to be consistent with that in the R base package to meet R user's convention, as documented at http://www.inside-r.org/r-doc/base/as.data.frame > Change signature of as.data.frame() to be consistent with the R base package > > > Key: SPARK-13905 > URL: https://issues.apache.org/jira/browse/SPARK-13905 > Project: Spark > Issue Type: Improvement > Components: SparkR >Affects Versions: 1.6.1 >Reporter: Sun Rui > > change the signature of as.data.frame() to be consistent with that in the R > base package to meet R user's convention, as documented at > http://www.inside-r.org/r-doc/base/as.data.frame -- 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
