mudfoldsim

10,000 simulated responses from 1,000 respondents to 10 items.

Simulated data. These responses were generated by a script, not collected from people; see the generating script.

About this table

DescriptionData simulated using mudfold package
ReferenceBalafas, S. E., Krijnen, W. P., Post, W. J., & Wit, E. C. (2020). Mudfold: An R package for nonparametric IRT modelling of unfolding processes. The R Journal, 12(1), 49-75.
DOI10.32614/CRAN.package.mudfold
LicenceCC0 1.0
Generating scripthttps://github.com/ben-domingue/irw/blob/main/data/simsyn/mudfold_sim.R

Size and shape

Responses10,000
Respondents1,000
Items10
Response categories2
Responses per respondent10
Responses per item1,000
Density1

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mudfoldsim", source = "sim")
# Python
pip install irw

import irw
df = irw.fetch("mudfoldsim", source="sim")

How to cite

@misc{Balafas_2017, title={mudfold: Multiple UniDimensional unFOLDing}, url={http://dx.doi.org/10.32614/CRAN.package.mudfold}, DOI={10.32614/cran.package.mudfold}, journal={CRAN: Contributed Packages}, publisher={The R Foundation}, author={Balafas, Spyros and Krijnen, Wim and Wit, Ernst}, year={2017}, month=mar }

Version and provenance

IRW versionv439
Redivis datasetirw_simsyn v1.2
Redivis dataset DOI10.57761/t5s5-a326
Manifest pin for this IRW versionv1.1
Metadata sourceirw_meta v27.0