20,000 simulated responses from 1,000 respondents to 20 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script.
| Description | Simulated binary symptom data from a known Ising network: 1,000 persons x 20 nodes, random graph (edge probability 0.2), squared-normal edge weights. True node thresholds, degrees and the full edge-weight matrix in itemcov_true_* (itemcov_true_w_itemKK = weight to itemKK). |
|---|---|
| Reference | van Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918. Generated with IsingSampler::IsingSampler (Epskamp, S., IsingSampler R package, version 0.5.0). |
| DOI | 10.1038/srep05918 |
| Licence | CC0 1.0 |
| Generating script | https://cran.r-project.org/package=IsingSampler |
| Responses | 20,000 |
|---|---|
| Respondents | 1,000 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 1,000 |
| Density | 1 |
iditemitemcov_true_degreeitemcov_true_thresholditemcov_true_w_item01itemcov_true_w_item02itemcov_true_w_item03itemcov_true_w_item04itemcov_true_w_item05itemcov_true_w_item06itemcov_true_w_item07itemcov_true_w_item08itemcov_true_w_item09itemcov_true_w_item10itemcov_true_w_item11itemcov_true_w_item12itemcov_true_w_item13itemcov_true_w_item14itemcov_true_w_item15itemcov_true_w_item16itemcov_true_w_item17itemcov_true_w_item18itemcov_true_w_item19itemcov_true_w_item20resp
id, item, resp are defined in the IRW data standard and mean the same in every table. The other columns are set by the generating script.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ising_network_sim", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("ising_network_sim", source="sim")
@article{van_Borkulo_2014, title={A new method for constructing networks from binary data}, volume={4}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/srep05918}, DOI={10.1038/srep05918}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={van Borkulo, Claudia D. and Borsboom, Denny and Epskamp, Sacha and Blanken, Tessa F. and Boschloo, Lynn and Schoevers, Robert A. and Waldorp, Lourens J.}, year={2014}, month=Aug }
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_simsyn v1.4 |
| Redivis dataset DOI | 10.57761/d90d-aa22 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |