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crplyr  

A 'dplyr' Interface for Crunch
View on CRAN: Click here


Download and install crplyr package within the R console
Install from CRAN:
install.packages("crplyr")

Install from Github:
library("remotes")
install_github("cran/crplyr")

Install by package version:
library("remotes")
install_version("crplyr", "0.4.0")



Attach the package and use:
library("crplyr")
Maintained by
Greg Freedman Ellis
[Scholar Profile | Author Map]
First Published: 2017-05-05
Latest Update: 2023-03-21
Description:
In order to facilitate analysis of datasets hosted on the Crunch data platform , the 'crplyr' package implements 'dplyr' methods on top of the Crunch backend. The usual methods 'select', 'filter', 'group_by', 'summarize', and 'collect' are implemented in such a way as to perform as much computation on the server and pull as little data locally as possible.
How to cite:
Greg Freedman Ellis (2017). crplyr: A 'dplyr' Interface for Crunch. R package version 0.4.0, https://cran.r-project.org/web/packages/crplyr. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2017-05-05 19:41), 0.1.2 (2017-06-06 18:49), 0.1.4 (2017-08-22 19:21), 0.2.0 (2018-06-29 16:55), 0.3.0 (2019-04-03 23:52), 0.3.1 (2019-06-07 01:30), 0.3.3 (2020-01-14 10:20), 0.3.4 (2020-04-24 18:10), 0.3.5 (2020-07-20 22:10), 0.3.6 (2020-07-22 00:40), 0.3.7 (2021-01-12 17:30), 0.3.8 (2021-02-02 03:40), 0.3.9 (2022-05-01 17:10), 0.4.0 (2023-03-21 22:50)
Other packages that cited crplyr R package
View crplyr citation profile
Other R packages that crplyr depends, imports, suggests or enhances
Complete documentation for crplyr
Functions, R codes and Examples using the crplyr R package
Some associated functions: GroupedCrunchDataset-class . as_cr_tibble . autoplot . collect . filter . filter_.CrunchDataset . group_by . mutate . select . summarize . theme_crunch . unweighted_n . 
Some associated R codes: AllClasses.R . as-tibble.R . collect.R . compat-lazyeval.R . crplyr.R . filter.R . group-by.R . mutate.R . plotting.R . select.R . summarize.R .  Full crplyr package functions and examples
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