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trimr  

An Implementation of Common Response Time Trimming Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("trimr", "1.1.1")



Attach the package and use:
library("trimr")
Maintained by
James Grange
[Scholar Profile | Author Map]
First Published: 2015-08-02
Latest Update: 2022-05-05
Description:
Provides various commonly-used response time trimming methods, including the recursive / moving-criterion methods reported by Van Selst and Jolicoeur (1994). By passing trimming functions raw data files, the package will return trimmed data ready for inferential testing.
How to cite:
James Grange (2015). trimr: An Implementation of Common Response Time Trimming Methods. R package version 1.1.1, https://cran.r-project.org/web/packages/trimr. Accessed 01 May. 2025.
Previous versions and publish date:
1.0.0 (2015-08-02 16:02), 1.0.1 (2015-08-28 16:37)
Other packages that cited trimr R package
View trimr citation profile
Other R packages that trimr depends, imports, suggests or enhances
Complete documentation for trimr
Functions, R codes and Examples using the trimr R package
Some associated functions: absoluteRT . exampleData . hybridRecursive . linearInterpolation . modifiedRecursive . nonRecursive . sdTrim . 
Some associated R codes: absoluteRT.R . datasets.R . hybridRecursive.R . modifiedRecursive.R . nonRecursive.R . sdTrim.R .  Full trimr package functions and examples
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