Package: DisimForMixed 0.2
Hasanthi A. Pathberiya
DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.
Authors:
DisimForMixed_0.2.tar.gz
DisimForMixed_0.2.tar.gz(r-4.5-noble)DisimForMixed_0.2.tar.gz(r-4.4-noble)
DisimForMixed_0.2.tgz(r-4.4-emscripten)DisimForMixed_0.2.tgz(r-4.3-emscripten)
DisimForMixed.pdf |DisimForMixed.html✨
DisimForMixed/json (API)
| # Install 'DisimForMixed' in R: |
| install.packages('DisimForMixed', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:228ad5d354. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
Exports:calcCondProbcalcDissimMatdiscretizeQuantdistBetPairsfindMaxsignifOfQuantVars
Dependencies:cliclusterdplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate Conditional Probabilities. | calcCondProb |
| Calculate Dissimilarity Matrix for Mixed Attributes. | calcDissimMat |
| Descretize Quantitative Variables. | discretizeQuant |
| Calculate Distance Between Attribute Values. | distBetPairs |
| Calculate Distance Between given Attribute Values by considering only a pair of attributes. | findMax |
| Calculate Significance of Quantitative Attributes. | signifOfQuantVars |