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31 Working with Multiple Data Frames | R for Epidemiology
31 Working with Multiple Data Frames | R for Epidemiology

r - iterative computation ./ mutate of the mean of a large dataset within dplyr functions - Stack Overflow
r - iterative computation ./ mutate of the mean of a large dataset within dplyr functions - Stack Overflow

Join Data Frames with Base R vs. dplyr (Example) | Fastest Way to Merge
Join Data Frames with Base R vs. dplyr (Example) | Fastest Way to Merge

Three Strategies for Working with Big Data in R · R Views
Three Strategies for Working with Big Data in R · R Views

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Data Analysis and Visualisation in R for Ecologists: Manipulating, analyzing and exporting data with tidyverse
Data Analysis and Visualisation in R for Ecologists: Manipulating, analyzing and exporting data with tidyverse

5 Manipulating data with dplyr | Introduction to R - tidyverse
5 Manipulating data with dplyr | Introduction to R - tidyverse

Popularity of R's dplyr and data.table packages [OC] : r/rstats
Popularity of R's dplyr and data.table packages [OC] : r/rstats

8 Cleaning data and core functions | The Epidemiologist R Handbook
8 Cleaning data and core functions | The Epidemiologist R Handbook

Base R, the tidyverse, and data.table: A comparison of R dialects to wrangle your data - Wetlandscapes
Base R, the tidyverse, and data.table: A comparison of R dialects to wrangle your data - Wetlandscapes

Working efficiently with large datasets
Working efficiently with large datasets

Introduction to Tidyverse : readr, tibbles, tidyr & dplyr | by Brian Ward | Medium
Introduction to Tidyverse : readr, tibbles, tidyr & dplyr | by Brian Ward | Medium

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Working with “large” datasets, with dplyr and data.table | Freakonometrics
Working with “large” datasets, with dplyr and data.table | Freakonometrics

Arrange, Filter, & Group Rows In R Using dplyr
Arrange, Filter, & Group Rows In R Using dplyr

Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data | PPT
Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data | PPT

dplyr - In R, search for several unique IDs from one dataset in another - Stack Overflow
dplyr - In R, search for several unique IDs from one dataset in another - Stack Overflow

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Manipulating, analyzing and exporting data with tidyverse
Manipulating, analyzing and exporting data with tidyverse

A Grammar of Data Manipulation • dplyr
A Grammar of Data Manipulation • dplyr

Fast data lookups in R: dplyr vs data.table - R programming
Fast data lookups in R: dplyr vs data.table - R programming

Introduction to Data Cleaning with the Tidyverse | Idaho Ag Stats
Introduction to Data Cleaning with the Tidyverse | Idaho Ag Stats

RPubs - Joining Data with dplyr
RPubs - Joining Data with dplyr

R dplyr filter() - Subset DataFrame Rows - Spark By {Examples}
R dplyr filter() - Subset DataFrame Rows - Spark By {Examples}

Chapter 6 Wrangling Rows in R with Filter | Reproducible Medical Research with R
Chapter 6 Wrangling Rows in R with Filter | Reproducible Medical Research with R

Chapter 3 Wrangling Data in the Tidyverse | Tidyverse Skills for Data Science
Chapter 3 Wrangling Data in the Tidyverse | Tidyverse Skills for Data Science

Dplyr Tutorial: Merge and Join Data in R with Examples
Dplyr Tutorial: Merge and Join Data in R with Examples

How to Use R for Large Data Analysis
How to Use R for Large Data Analysis

data-wrangling-cheatsheet - karuna.chemiz - Page 1 - 2 | Flip PDF Online | PubHTML5
data-wrangling-cheatsheet - karuna.chemiz - Page 1 - 2 | Flip PDF Online | PubHTML5

Tidyverse data wrangling | Introduction to R - ARCHIVED
Tidyverse data wrangling | Introduction to R - ARCHIVED