Working efficiently with large datasets
dplyr - In R, search for several unique IDs from one dataset in another - Stack Overflow
Base R, the tidyverse, and data.table: A comparison of R dialects to wrangle your data - Wetlandscapes
How to merge data in R using R merge, dplyr, or data.table | InfoWorld
Chapter 6 Wrangling Rows in R with Filter | Reproducible Medical Research with R
A Grammar of Data Manipulation • dplyr
![Popularity of R's dplyr and data.table packages [OC] : r/rstats](https://preview.redd.it/fnpqfra1uqr11.png?auto=webp&s=988558b625f1704428089603540a740664077755 "Popularity of R's dplyr and data.table packages [OC] : r/rstats")
Popularity of R's dplyr and data.table packages [OC] : r/rstats
Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data | PPT
Join Data Frames with Base R vs. dplyr (Example) | Fastest Way to Merge
Data Analysis and Visualisation in R for Ecologists: Manipulating, analyzing and exporting data with tidyverse
Working with “large” datasets, with dplyr and data.table | Freakonometrics
How to merge data in R using R merge, dplyr, or data.table | InfoWorld
Dplyr Tutorial: Merge and Join Data in R with Examples
Merging and appending datasets with dplyr (R) – Pere A. Taberner
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Databases using R · R Views
Tidyverse data wrangling | Introduction to R - ARCHIVED
slice() from dplyr in R - Examples - Spark By {Examples}
Chapter 3 Wrangling Data in the Tidyverse | Tidyverse Skills for Data Science
Introduction to Tidyverse : readr, tibbles, tidyr & dplyr | by Brian Ward | Medium
31 Working with Multiple Data Frames | R for Epidemiology
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Three Strategies for Working with Big Data in R · R Views
How to Use R for Large Data Analysis
