Construct Natural-Language Lists with Internationalization
c(
person("Alexander", "Rossell Hayes", , "alexander@rossellhayes.com", role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0001-9412-0457")),
person(, "Unicode, Inc.", role = "dtc",
comment = "Language data")
)
Construct language-aware lists. Make "and"-separated and
"or"-separated lists that automatically conform to the user's language
settings.
covr, knitr, mockery, stringi, testthat (>= 3.0.0), withr
Alexander Rossell Hayes [aut, cre, cph]
(<https://orcid.org/0000-0001-9412-0457>),
Unicode, Inc. [dtc] (Language data)

Andrews curves for visualization of multidimensional data

Make Spectroscopic Data Processing Easier
c(
person("Noemi", "Alvarez Fernandez",
email = "noemiallefs@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID  = "0000-0003-2690-4051")),
person("Antonio", "Martinez Cortizas",
role = c("aut"),
comment = c(ORCID  = "0000-0003-0430-5760")))
The goal of 'andurinha' is provide a fast and friendly way to
process spectroscopic data. It is intended for processing several spectra of
samples with similar composition (tens to hundreds of spectra). It compiles
spectroscopy data files, produces standardized and second derivative spectra,
finds peaks and allows to select the most significant ones based on the second
derivative/absorbance sum spectrum. It also provides functions for graphic
evaluation of the outputs.
signal, tidyr, ggplot2, cowplot, rlang, utils, plyr
extrafont, dplyr, knitr, rmarkdown, testthat, MASS
Noemi Alvarez Fernandez [aut, cre]
(<https://orcid.org/0000-0003-2690-4051>),
Antonio Martinez Cortizas [aut]
(<https://orcid.org/0000-0003-0430-5760>)

This package provides a comprehensive system for selecting
variables and weighting data to match the specifications of the
American National Election Studies.  The package includes
methods for identifying discrepant variables, raking data, and
assessing the effects of the raking algorithm.  It also allows
automated re-raking if target variables fall outside identified
bounds and allows greater user specification than other
available raking algorithms.