Chapter 4. Data Manipulation
This chapter covers the following topics:
- Enhancing a
data.framewith adata.table - Managing data with a
data.table - Performing fast aggregation with a
data.table - Merging large datasets with a
data.table - Subsetting and slicing data with
dplyr - Sampling data with
dplyr - Selecting columns with
dplyr - Chaining operations in
dplyr - Arranging rows with
dplyr - Eliminating duplicated rows with
dplyr - Adding new columns with
dplyr - Summarizing data with
dplyr - Merging data with
dplyr
Introduction
Most R users will agree that data frames provide a flexible and expressive structure for tabular data. While data frames are effective for small datasets, they are not ideal to use when processing data that is larger than a Gigabyte in size. Additionally, ...
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