Package: synr 1.0.0

synr: Explore and Process Synesthesia Consistency Test Data

Explore synesthesia consistency test data, calculate consistency scores, and classify participant data as valid or invalid.

Authors:Lowe Wilsson [aut, cre]

synr_1.0.0.tar.gz
synr_1.0.0.zip(r-4.7-any)synr_1.0.0.zip(r-4.6-any)synr_1.0.0.zip(r-4.5-any)
synr_1.0.0.tgz(r-4.6-any)synr_1.0.0.tgz(r-4.5-any)
synr_1.0.0.tar.gz(r-4.7-any)synr_1.0.0.tar.gz(r-4.6-any)
synr_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
synr/json (API)

# Install 'synr' in R:
install.packages('synr', repos = c('https://datalowe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/datalowe/synr/issues

Pkgdown/docs site:https://datalowe.github.io

Datasets:

On CRAN:

Conda:

data-cleaningsynesthesia

5.32 score 139 scripts 267 downloads 7 exports 21 dependencies

Last updated from:4feea2ad1d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK138
source / vignettesOK228
linux-releaseOK120
macos-releaseOK158
macos-oldrelOK244
windows-develOK98
windows-releaseOK101
windows-oldrelOK89
wasm-releaseOK102

Exports:create_graphemecreate_participantcreate_participantgroupcreate_participantgroup_widedataGraphemeParticipantParticipantGroup

Dependencies:clicpp11data.tabledbscanfarvergenericsggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr

synr: Main tutorial
Introduction | Synesthesia and consistency testing | synr's purpose | Getting started | Rolling up the data | Accessing participantgroup data | Summarizing data | Consistency scores | grapheme level: get_consistency_score | participant level: get_mean_consistency_score | participantgroup level: get_mean_consistency_scores | Number of valid responses | participant level: get_number_all_colored_graphemes | participantgroup level: get_numbers_all_colored_graphemes | Mean color response | participant level: get_participant_mean_color | participantgroup level: get_mean_colors | Validating participant data | participantgroup level: check_valid_get_twcv_scores | Filtering data | participantgroup level filtering | Handling summary statistics efficiently | Visualizing participant data | Producing plots for immediate display | participant level plotting: get_plot | Producing plots and saving them on your computer | participant level plot saving: save_plot | participantgroup level plot saving: save_plots | Next steps

Last update: 2024-01-13
Started: 2020-06-10

synr: Quick start
Rolling up the data | Calculate participant consistency scores | Produce a plot of a single participant's responses | Export relevant participant data to a data frame | Finding more information

Last update: 2021-11-24
Started: 2021-09-27

Creating ParticipantGroup objects
Introduction | 'Long format' data | Example data | Convert data into a ParticipantGroup object | 'Wide format' data | Details about regular expression patterns in example

Last update: 2021-11-23
Started: 2021-09-27