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dat  

Tools for Data Manipulation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dat", "0.7.0")



Attach the package and use:
library("dat")
Maintained by
Sebastian Warnholz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-07
Latest Update: 2020-05-15
Description:
An implementation of common higher order functions with syntactic sugar for anonymous function. Provides also a link to 'dplyr' and 'data.table' for common transformations on data frames to work around non standard evaluation by default.
How to cite:
Sebastian Warnholz (2017). dat: Tools for Data Manipulation. R package version 0.7.0, https://cran.r-project.org/web/packages/dat. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:30), 0.1.0 (2017-01-07 02:04), 0.2.0 (2017-04-21 07:54), 0.3.0 (2017-07-22 22:52), 0.4.0 (2018-01-20 16:36), 0.5.0 (2020-05-15 21:40)
Other packages that cited dat R package
View dat citation profile
Other R packages that dat depends, imports, suggests or enhances
Complete documentation for dat
Functions, R codes and Examples using the dat R package
Some associated functions: DataFrame . FormulaList . as.function.formula . bindRows . extract . map . mutar . reexports . replace . verboseApply . 
Some associated R codes: DataFrame.R . FormulaList.R . NAMESPACE.R . as.function.R . bindRows.R . dataTableBackend.R . deparse.R . extract.R . helper.R . map.R . mutar.R . pipeExport.R . replace.R . useDplyr.R . verboseApply.R .  Full dat package functions and examples
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