Package: latent2likert 1.2.2
latent2likert: Converting Latent Variables into Likert Scale Responses
Effectively simulates the discretization process inherent to Likert scales while minimizing distortion. It converts continuous latent variables into ordinal categories to generate Likert scale item responses. Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.
Authors:
latent2likert_1.2.2.tar.gz
latent2likert_1.2.2.zip(r-4.5)latent2likert_1.2.2.zip(r-4.4)latent2likert_1.2.2.zip(r-4.3)
latent2likert_1.2.2.tgz(r-4.5-any)latent2likert_1.2.2.tgz(r-4.4-any)latent2likert_1.2.2.tgz(r-4.3-any)
latent2likert_1.2.2.tar.gz(r-4.5-noble)latent2likert_1.2.2.tar.gz(r-4.4-noble)
latent2likert_1.2.2.tgz(r-4.4-emscripten)latent2likert_1.2.2.tgz(r-4.3-emscripten)
latent2likert.pdf |latent2likert.html✨
latent2likert/json (API)
NEWS
| # Install 'latent2likert' in R: |
| install.packages('latent2likert', repos = c('https://markolalovic.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/markolalovic/latent2likert/issues
Pkgdown site:https://latent2likert.lalovic.io
- part_bfi - Agreeableness and Gender Data
likertlikert-datasimulationsurvey-data
Last updated 5 months agofrom:90c53cff3f. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 06 2025 |
| R-4.5-win | OK | Feb 06 2025 |
| R-4.5-mac | OK | Feb 06 2025 |
| R-4.5-linux | OK | Feb 06 2025 |
| R-4.4-win | OK | Feb 06 2025 |
| R-4.4-mac | OK | Feb 06 2025 |
| R-4.3-win | OK | Feb 06 2025 |
| R-4.3-mac | OK | Feb 06 2025 |
Exports:discretize_densityestimate_mean_and_sdestimate_paramsplot_likert_transformresponse_proprlikertsimulate_likert
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Discretize Density | discretize_density |
| Estimate mean and standard deviation | estimate_mean_and_sd |
| Estimate Latent Parameters | estimate_params |
| Agreeableness and Gender Data | part_bfi |
| Plot Transformation | plot_likert_transform |
| Calculate Response Proportions | response_prop |
| Generate Random Responses | rlikert |
| Simulate Likert Scale Item Responses | simulate_likert |
