Package: mdsOpt 0.7-7

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:Marek Walesiak [aut], Andrzej Dudek [aut, cre]

mdsOpt_0.7-7.tar.gz
mdsOpt_0.7-7.zip(r-4.7)mdsOpt_0.7-7.zip(r-4.6)mdsOpt_0.7-7.zip(r-4.5)
mdsOpt_0.7-7.tgz(r-4.6-any)mdsOpt_0.7-7.tgz(r-4.5-any)
mdsOpt_0.7-7.tar.gz(r-4.7-any)mdsOpt_0.7-7.tar.gz(r-4.6-any)
mdsOpt_0.7-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mdsOpt/json (API)

# Install 'mdsOpt' in R:

install.packages('mdsOpt', repos = c('https://a-dudek-ue.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

data_lower_silesian - The evaluation of tourist attractiveness of Lower Silesian counties

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 20 scripts 279 downloads 6 exports 208 dependencies

Last updated from:4f84a3f74f. Checks:8 OK, 1 ERROR. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	293
source / vignettes	ERROR	349
linux-release-x86_64	OK	299
macos-release-arm64	OK	138
macos-oldrel-arm64	OK	149
windows-devel	OK	197
windows-release	OK	171
windows-oldrel	OK	181
wasm-release	OK	223

Exports:drawIsoquants findOptimalSmacofSym optSmacofSym_mMDS optSmacofSym_nMDS optSmacofSymInterval rotation2dAnimation

Dependencies:abind ade4 animation askpass backports base64enc bit bit64 blob boot broom bslib cachem car carData checkmate chron class classInt cli clipr cluster clusterSim codetools colorspace cowplot cpp11 crayon crosstalk curl data.table DBI deldir Deriv digest doBy doParallel dplyr DT e1071 ellipse emmeans estimability evaluate FactoMineR farver fastmap fitdistrplus flashClust fontawesome forcats foreach forecast foreign Formula fracdiff fs gbm gdata generics ggplot2 ggpolypath ggrepel glmnet glue gridExtra gsubfn gtable gtools haven here highr Hmisc hms htmlTable htmltools htmlwidgets httr igraph irlba isoband iterators jomo jquerylib jsonlite KernSmooth kknn knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest magick magrittr MASS Matrix MatrixModels memoise mgcv mice microbenchmark mime minpack.lm minqa mitml modelr multcompView mvtnorm neuralnet nlme nloptr nnet nnls numDeriv openssl ordinal otel pan pbkrtest pillar pixmap pkgconfig plotly plotrix plyr png polynom prettyunits princurve progress promises proto proxy purrr quantreg R6 randomcoloR randomForest rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppTOML Rdpack readr reformulas reshape reticulate rgl RJSONIO rlang rmarkdown rpart rprojroot RSDA RSpectra RSQLite rstudioapi Rtsne s2 S7 sass scales scatterplot3d sf shape shapes smacof sp SparseM spData spdep sqldf stringi stringr survival symbolicDA sys tibble tidyr tidyselect timeDate tinytex tzdb ucminf umap units urca utf8 V8 vctrs viridisLite vroom weights withr wk wordcloud xfun XML xtable yaml zoo

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

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.

Introduction | Selection of the optimal multidimensional scaling procedure | Using the package – examples | Summary | References

Rendered frommdsOpt.ltxusingR.rsp::tex

Last update: 2020-07-20
Started: 2019-08-28

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

Package: mdsOpt 0.7-7

mdsOpt: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data

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Usage by other packages (reverse dependencies)