Package: mdsOpt 0.7-6
mdsOpt: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
Authors:
mdsOpt_0.7-6.tar.gz
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mdsOpt_0.7-6.tar.gz(r-4.5-noble)mdsOpt_0.7-6.tar.gz(r-4.4-noble)
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mdsOpt.pdf |mdsOpt.html✨
mdsOpt/json (API)
# Install 'mdsOpt' in R: |
install.packages('mdsOpt', repos = c('https://a-dudek-ue.r-universe.dev', 'https://cloud.r-project.org')) |
- data_lower_silesian - The evaluation of tourist attractiveness of Lower Silesian counties
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:de42c22afc. Checks:ERROR: 1 NOTE: 2 OK: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Oct 27 2024 |
R-4.5-win | NOTE | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |
R-4.4-win | OK | Oct 27 2024 |
R-4.4-mac | OK | Oct 27 2024 |
R-4.3-win | OK | Oct 27 2024 |
R-4.3-mac | OK | Oct 27 2024 |
Exports:drawIsoquantsfindOptimalSmacofSymoptSmacofSym_mMDSoptSmacofSym_nMDSoptSmacofSymIntervalrotation2dAnimation
Dependencies:abindade4animationaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcarcarDatacheckmatechronclassclassIntclicliprclusterclusterSimcodetoolscolorspacecowplotcpp11crayoncrosstalkcurldata.tableDBIdeldirDerivdigestdoBydoParalleldplyrDTe1071ellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforcatsforeachforeignFormulafsgbmgdatagenericsggplot2ggpolypathggrepelglmnetgluegridExtragsubfngtablegtoolshavenherehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrigraphisobanditeratorsjomojquerylibjsonliteKernSmoothkknnknitrlabelinglaterlatticelazyevalleapslifecyclelme4magickmagrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminpack.lmminqamitmlmodelrmultcompViewmunsellmvtnormneuralnetnlmenloptrnnetnnlsnumDerivopensslordinalpanpbkrtestpillarpixmappkgconfigplogrplotlyplotrixplyrpngpolynomprettyunitsprincurveprogresspromisesprotoproxypurrrquantregR6randomcoloRrandomForestrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLreadrreshapereticulaterglRJSONIOrlangrmarkdownrpartrprojrootRSDARSpectraRSQLiterstudioapiRtsnes2sassscalesscatterplot3dsfshapeshapessmacofspSparseMspDataspdepsqldfstringistringrsurvivalsymbolicDAsystibbletidyrtidyselecttinytextzdbucminfumapunitsutf8V8vctrsviridisviridisLitevroomweightswithrwkwordcloudxfunXMLxtableyaml
MdsOPT package, published in M. Walesiak and A. Dudek, "Searching for an Optimal MDS Procedure for Metric and Interval-Valued Data using mdsOpt R package", in: Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenges, 2020, pp. 307-324.
Rendered frommdsOpt.ltx
usingR.rsp::tex
on Oct 27 2024.Last update: 2020-07-20
Started: 2019-08-28
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The evaluation of tourist attractiveness of Lower Silesian counties | data_lower_silesian |
draw series of isoquants | drawIsoquants |
Selecting the optimal multidimensional scaling (MDS) procedure | findOptimalSmacofSym |
Selecting the optimal multidimensional scaling procedure - metric MDS | optSmacofSym_mMDS |
Selecting the optimal multidimensional scaling procedure - nonmetric MDS | optSmacofSym_nMDS |
Selecting the optimal multidimensional scaling procedure for interval-valued data | optSmacofSymInterval |
Cretaes video by FFmpeg with animation of dataset rotated | rotation2dAnimation |