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hacksaw  

Additional Tools for Splitting and Cleaning Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hacksaw", "0.0.2")



Attach the package and use:
library("hacksaw")
Maintained by
David Ranzolin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-18
Latest Update:
Description:
Move between data frames and lists more efficiently with precision splitting via 'dplyr' verbs. Easily cast variables to different data types. Keep rows with NAs. Shift row values.
How to cite:
David Ranzolin (2020). hacksaw: Additional Tools for Splitting and Cleaning Data. R package version 0.0.2, https://cran.r-project.org/web/packages/hacksaw. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:46), 0.0.1 (2020-07-18 11:40), 0.0.2 (2020-12-15 06:30)
Other packages that cited hacksaw R package
View hacksaw citation profile
Other R packages that hacksaw depends, imports, suggests or enhances
Complete documentation for hacksaw
Functions, R codes and Examples using the hacksaw R package
Some associated functions: casting . filter_pattern . keep_na . list-ops . multi-assign . pipe . pluck_when . shift_row_values . split-ops . var_max . var_min . 
Some associated R codes: casting.R . keep_na.R . patterns.R . pluck_when.R . reexports.R . shift_row_values.R . splits.R . utils.R .  Full hacksaw package functions and examples
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