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salty  

Turn Clean Data into Messy Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("salty", "0.1.1")



Attach the package and use:
library("salty")
Maintained by
Matthew Lincoln
[Scholar Profile | Author Map]
First Published: 2018-09-17
Latest Update: 2018-09-17
Description:
Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.
How to cite:
Matthew Lincoln (2018). salty: Turn Clean Data into Messy Data. R package version 0.1.1, https://cran.r-project.org/web/packages/salty. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-09-17 13:40)
Other packages that cited salty R package
View salty citation profile
Other R packages that salty depends, imports, suggests or enhances
Complete documentation for salty
Functions, R codes and Examples using the salty R package
Some associated functions: inspect_shaker . p_indices . salt . salt_delete . salt_insert . salt_na . salt_replace . salt_substitute . salt_swap . salty . shaker . 
Some associated R codes: salt_delete.R . salt_insert.R . salt_replace.R . salt_substitute.R . salt_swap.R . salty-package.R . shakers.R . utils.R . wrappers.R .  Full salty package functions and examples
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