Illusory Truth Longitudinal Study
Overview
Data and functions for analyzing and simulating illusory truth datasets, developed as part of a longitudinal study by Henderson, Barr, and Simons (2020). The illusory truth effect is the observation that people rate repeated statements as more likely to be true than novel statements. We tested the trajectory of the illusory truth effect by collecting truth ratings for statements repeated across four time intervals: immediately, one day, one week, and one month following initial presentation. The package contains the anonymized data from the study along with stimulus materials, as well as functions for analyzing the data, running simulations, and calculating power. Further details about the project are available at https://osf.io/nvugt/, which includes Stage 1 of the Registered Report at the Journal of Cognition (https://osf.io/vqnx2/).
- Added a
NEWS.mdfile to track changes to the package. - Added
I()to literal use ofreadr::read_csv()in preprocessing functions for compatibility with upcoming 2.0.0 release of thereadrpackage (#5).
From NEWS.md in the release
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 32 (1 internal)includes a package overview page
- Examples that run
- 94%17 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 64%
- Documented parameters
- 97%
- Return-value docs
- 96%
- Help pages citing references
- 19% with a bibliography file
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-12issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- 1.2.52021-05-24 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.2.42021-02-17
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-17
- Total releases
- 2 / 5 yrs
- License
- CC BY 4.0
- Minimum R
- ≥ 2.10
- Bundled data
- 424 KB / 12 files
Cite
Cite this package
Run in R for the authors' entry:
citation("truthiness")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.