Control Qualitative Variables
Overview
Covers k-table control analysis using multivariate control charts for qualitative variables using fundamentals of multiple correspondence analysis and multiple factor analysis. The graphs can be shown in a flat or interactive way, in the same way all the outputs can be shown in an interactive shiny panel.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 80%4 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing T2Qv adds 75 packages (40 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, bslib 5.6 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.2.0Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-05-18
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-05-18
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 2.5 KB / 1 file
- Download size
- 13 KB
Cite
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