SparkR dataFrame read.df fails to read from aws s3

[Ben Spark]

I have Spark 1.4 deployed on AWS EMR but methods of SparkR dataFrame read.df 
method cannot load data from aws s3.
1) "read.df" error message 
read.df(sqlContext,"s3://some-bucket/some.json","json")
15/07/09 04:07:01 ERROR r.RBackendHandler: loadDF on 
org.apache.spark.sql.api.r.SQLUtils failed
java.lang.IllegalArgumentException: invalid method loadDF for object 
org.apache.spark.sql.api.r.SQLUtils
        at 
org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:143)
        at 
org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:74)
        at 
org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:36)  
at 
io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
 2) "jsonFile" is working though with some warning messageWarning message:
In normalizePath(path) :
  path[1]="s3://rea-consumer-data-dev/cbr/profiler/output/20150618/part-00000": 
No such file or directory