Rplyr

Rplyr is a helpful tool for working with data in R. It has easy-to-use functions that help users do common data tasks, especially with data frames. It was made in 2014. Rplyr fixes some problems from its older version, plyr, by using C++ for faster work. This makes it good for handling big data, even if the data is stored outside of R. It does not have the usual memory problems that R has.

Benefits
Rplyr has many good points. It has a set of functions, often called verbs, that make data work easy. These verbs let users pick rows, choose certain columns, change the order of rows, add new columns, and sum up data. Compared to basic R functions, Rplyr''s verbs are more consistent and easier to use. This makes data work more efficient.

Use Cases
Rplyr is great for many data tasks. For example, it can pick certain columns from a dataset, filter rows based on certain rules, and put rows in a wanted order. It also lets users make new columns, sum up data, and do group tasks. This makes Rplyr a useful tool for data workers and researchers who use data frames.

Additional Information
Rplyr is part of the tidyverse, a group of R packages for data science. Users can add Rplyr with the command install.packages dplyr and start it with the command library dplyr. Also, adding the tidyverse package will start Rplyr with other helpful tools for data work and analysis.