Overview | Using Your Own Data | Example Data | Absolute Value Criterion | absoluteRT | Standard Deviation Criterion | sdTrim | Recursive / Moving Criterion | nonRecursive | modifiedRecursive | hybridRecursive | Data from Factorial Designs | References
Package: trimr 1.1.1.9000
trimr: An Implementation of Common Response Time Trimming Methods
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.
Authors:
trimr_1.1.1.9000.tar.gz
trimr_1.1.1.9000.zip(r-4.7)trimr_1.1.1.9000.zip(r-4.6)trimr_1.1.1.9000.zip(r-4.5)
trimr_1.1.1.9000.tgz(r-4.6-any)trimr_1.1.1.9000.tgz(r-4.5-any)
trimr_1.1.1.9000.tar.gz(r-4.7-any)trimr_1.1.1.9000.tar.gz(r-4.6-any)
trimr_1.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
trimr/json (API)
| # Install 'trimr' in R: |
| install.packages('trimr', repos = c('https://jimgrange.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jimgrange/trimr/issues
Datasets:
- exampleData - Example response time data set
- linearInterpolation - SDs used for the recursive / moving criterion trimming methods
Last updated from:f35e44dbe7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 185 | ||
| linux-release-x86_64 | OK | 117 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-oldrel-arm64 | OK | 107 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 74 | ||
| windows-oldrel | OK | 77 | ||
| wasm-release | OK | 95 |
Exports:absoluteRThybridRecursivemodifiedRecursivenonRecursivesdTrim
Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Absolute RT trimming | absoluteRT |
| Example response time data set | exampleData |
| hybridRecursive trimming procedure. | hybridRecursive |
| SDs used for the recursive / moving criterion trimming methods | linearInterpolation |
| modifiedRecursive trimming procedure. | modifiedRecursive |
| nonRecursive trimming procedure. | nonRecursive |
| RT trimming with standard deviation criterion | sdTrim |
