symbolicDA
0.7-3Analysis of Symbolic Data
Overview
Symbolic data analysis methods: importing/exporting data from ASSO XML Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho measure), zoom star plot, 3d interval plot, multidimensional scaling for symbolic interval data, dynamic clustering based on distance matrix, HINoV method for symbolic data, Ichino's feature selection method, principal component analysis for symbolic interval data, decision trees for symbolic data based on optimal split with bagging, boosting and random forest approach (+visualization), kernel discriminant analysis for symbolic data, Kohonen's self-organizing maps for symbolic data, replication and profiling, artificial symbolic data generation. (Milligan, G.W., Cooper, M.C. (1985) doi:10.1007/BF02294245, Breiman, L. (1996), doi:10.1007/BF00058655, Hubert, L., Arabie, P. (1985), doi:10.1007%2FBF01908075, Ichino, M., & Yaguchi, H. (1994), doi:10.1109/21.286391, Rand, W.M. (1971) doi:10.1080/01621459.1971.10482356, Breckenridge, J.N. (2000) doi:10.1207/S15327906MBR3502_5, Groenen, P.J.F, Winsberg, S., Rodriguez, O., Diday, E. (2006) doi:10.1016/j.csda.2006.04.003, Dudek, A. (2007), doi:10.1007/978-3-540-70981-7_4).
Install
Health
- OK2026-08-1013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0612 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-07-189 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-07-169 OK · 3 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
- NOTE2026-07-1011 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 100%
Downloads
Dependencies
Code & Tests
Datasets
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.7-3Latest
- 0.7-22025-06-26 · diff ↗
- unarchivedReturned to CRAN2025-06-26
- archivedRemoved from CRAN2025-05-15requires archived package 'RSDA'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.7-12023-02-13 · diff ↗
- 0.6-32022-05-27 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.6-22019-08-08 · diff ↗
- 0.6-12019-05-09 · diff ↗
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2013-10-12
- Total releases
- 10 / 13 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 14 KB / 2 files
- Download size
- 1.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("symbolicDA")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.