Does someone have an overview with respect to advantages/disadvantages of SparkR vs sparklyr? Google does not yield any satisfactory results and both seem fairly similar. Trying both out, SparkR appears a lot more cumbersome, whereas sparklyr is pretty straight forward (both to install but also to use, especially with the dplyr inputs). Can sparklyr only be used to run dplyr functions in parallel or also &quot;normal&quot; R-Code?

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SparkR vs sparklyr

I have the last version of R - 3.2.1. Now I want to install SparkR on R. After I execute:

    &gt; install.packages(&quot;SparkR&quot;)

I got back:

    Installing package into ‘/home/user/R/x86_64-pc-linux-gnu-library/3.2’
    (as ‘lib’ is unspecified)
    Warning in install.packages :
      package ‘SparkR’ is not available (for R version 3.2.1)

I have also installed Spark on my machine 

    Spark 1.4.0

How I can solve this problem?

All Sparkr Solutions on Gang of Coders

Total of 2 Sparkr Solutions

SparkR vs sparklyr

Installing of SparkR