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A collection of functions for statistical and multivariate analysis of surface-related data, with a focus on antimicrobial activity and omniphobicity. Designed to support materials scientists and researchers in exploring structure–function relationships in surface-engineered materials through reproducible and interpretable workflows. For more details, see Li et al. (2021) <doi:10.1002/advs.202100368>, and Kwon et al. (2020) <doi:10.3390/polym12081826>.
Version: | 0.1.0 |
Depends: | R (≥ 4.1.0) |
Imports: | dplyr, ggplot2, effectsize, stats, FactoMineR, factoextra, randomForest, multcompView, grid |
Suggests: | testthat, scales |
Published: | 2025-07-31 |
DOI: | 10.32614/CRAN.package.suRface.analytics |
Author: | Paul Angelo C. Manlapaz
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Maintainer: | Paul Angelo C. Manlapaz <pacmanlapaz at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | suRface.analytics results |
Reference manual: | suRface.analytics.html , suRface.analytics.pdf |
Package source: | suRface.analytics_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: suRface.analytics_0.1.0.zip, r-oldrel: suRface.analytics_0.1.0.zip |
macOS binaries: | r-release (arm64): suRface.analytics_0.1.0.tgz, r-oldrel (arm64): suRface.analytics_0.1.0.tgz, r-release (x86_64): suRface.analytics_0.1.0.tgz, r-oldrel (x86_64): suRface.analytics_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=suRface.analytics to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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