dplyr: dplyr: a grammar of data manipulation
In sctyner/dplyr050: A Grammar of Data Manipulation
Description
dplyr provides a flexible grammar of data manipulation. It's the next
iteration of plyr, focused on tools for working with data frames (hence the
d in the name).
Details
It has three main goals:
Identify the most important data manipulation verbs and make them
easy to use from R.
Provide blazing fast performance for in-memory data by writing key
pieces in C++ (using Rcpp)
Use the same interface to work with data no matter where it's stored,
whether in a data frame, a data table or database.
To learn more about dplyr, start with the vignettes:
browseVignettes(package = "dplyr")
sctyner/dplyr050 documentation built on May 17, 2019, 2:22 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
dplyr provides a flexible grammar of data manipulation. It's the next iteration of plyr, focused on tools for working with data frames (hence the d in the name).
Details
It has three main goals:
Identify the most important data manipulation verbs and make them easy to use from R.
Provide blazing fast performance for in-memory data by writing key pieces in C++ (using Rcpp)
Use the same interface to work with data no matter where it's stored, whether in a data frame, a data table or database.
To learn more about dplyr, start with the vignettes:
browseVignettes(package = "dplyr")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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