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authorFelix Cheung <felixcheung_m@hotmail.com>2017-01-27 10:31:28 -0800
committerFelix Cheung <felixcheung@apache.org>2017-01-27 10:31:28 -0800
commit385d73848b0d274467b633c7615e03b370f4a634 (patch)
tree03e3ae8da0f215d616b02ae473c8f6e45f253f23 /R/pkg/vignettes
parent4e35c5a3d39522ba54685b5c3370a11ba6dbb230 (diff)
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[SPARK-19333][SPARKR] Add Apache License headers to R files
## What changes were proposed in this pull request? add header ## How was this patch tested? Manual run to check vignettes html is created properly Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #16709 from felixcheung/rfilelicense.
Diffstat (limited to 'R/pkg/vignettes')
-rw-r--r--R/pkg/vignettes/sparkr-vignettes.Rmd17
1 files changed, 17 insertions, 0 deletions
diff --git a/R/pkg/vignettes/sparkr-vignettes.Rmd b/R/pkg/vignettes/sparkr-vignettes.Rmd
index 6f11c5c516..9b0ded3b8d 100644
--- a/R/pkg/vignettes/sparkr-vignettes.Rmd
+++ b/R/pkg/vignettes/sparkr-vignettes.Rmd
@@ -10,6 +10,23 @@ vignette: >
\usepackage[utf8]{inputenc}
---
+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements. See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+-->
+
## Overview
SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. With Spark `r packageVersion("SparkR")`, SparkR provides a distributed data frame implementation that supports data processing operations like selection, filtering, aggregation etc. and distributed machine learning using [MLlib](http://spark.apache.org/mllib/).