Package: windows.pls 0.1.0

windows.pls: Segmentation Approaches in Chemometrics

Evaluation of prediction performance of smaller regions of spectra for Chemometrics. Segmentation of spectra, evolving dimensions regions and sliding windows as selection methods. Election of the best model among those computed based on error metrics. Chen et al.(2017) <doi:10.1007/s00216-017-0218-9>.

Authors:Elia Gonzato [aut, cre, cph]

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windows.pls.pdf |windows.pls.html✨
windows.pls/json (API)

# Install 'windows.pls' in R:

install.packages('windows.pls', repos = c('https://egonzato.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/egonzato/windows.pls/issues

Datasets:

beer - Beer Dataset from Near Infrared Spectroscopy

On CRAN:

10 exports 0.62 score 107 dependencies 4 scripts 146 downloads

Last updated 1 years agofrom:a29d24e0b9. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 10 2024
R-4.5-win	OK	Sep 10 2024
R-4.5-linux	OK	Sep 10 2024
R-4.4-win	OK	Sep 10 2024
R-4.4-mac	OK	Sep 10 2024
R-4.3-win	OK	Sep 10 2024
R-4.3-mac	OK	Sep 10 2024

Exports:convert.names.wl cv.wpls global.r2 global.rmse map.best.window map.spectra.gradient r2.single.window rmse.single.window segment.windows sel.best.window

Dependencies:askpass backports base64enc bit bit64 blob broom bslib cachem callr cellranger cli clipr colorspace conflicted cpp11 crayon curl data.table DBI dbplyr digest dplyr dtplyr evaluate fansi farver fastmap fontawesome forcats fs gargle generics ggplot2 glue googledrive googlesheets4 gtable haven highr hms htmltools httr ids isoband jquerylib jsonlite knitr labeling lattice lifecycle lubridate magrittr MASS Matrix mdatools memoise mgcv mime modelr munsell nlme openssl pillar pkgconfig prettyunits processx progress ps purrr R6 ragg rappdirs RColorBrewer readr readxl rematch rematch2 reprex rlang rmarkdown rstudioapi rvest sass scales selectr stringi stringr sys systemfonts textshaping tibble tidyr tidyselect tidyverse timechange tinytex tzdb utf8 uuid vctrs viridisLite vroom withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Beer Dataset from Near Infrared Spectroscopy	beer
Turns wavelengths into variable's names	convert.names.wl
Cross-validation for segmented spectral regions of the original spectra.	cv.wpls
Plots in a single window the R2 of each model.	global.r2
Plots in a single window the RMSE of each model.	global.rmse
Plots spectra highlighting windows with the best performance.	map.best.window
Colors and plots each spectra based on the associated concentration of the outcome variable	map.spectra.gradient
Plots R2 of calibration and cross-validation of a single nindow.	r2.single.window
Plots RMSE of calibration and cross-validation of a single wnindow.	rmse.single.window
Displays how spectra are divided in windows	segment.windows
Selection of the best window computed with cv.wpls	sel.best.window