Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to manipulate data with plyrmr:

1. First, you need to load both plyrmr and rmr2 into R:

        > library(rmr2)
        > library(plyrmr)  

2. You can then set the execution mode to the local mode:

        > plyrmr.options(backend="local")
  

3. Next, load the Titanic dataset into R:

        > data(Titanic)
        > titanic = data.frame(Titanic)
  

4. Begin the operation by filtering the data:

        > where(
        +    Titanic, 
        + Freq >=100)  

5. You can also use a pipe operator to filter the data:

        > titanic %|% where(Freq >=100)  

6. Put the Titanic data into HDFS and load the path of the data to the variable, tidata:

        > tidata = to.dfs(data.frame(Titanic), output = '/tmp/titanic')
        > tidata 

7. Next, you can generate a summation of the frequency from the ...