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Convert statistical analysis objects from R into tidy format
broom is part of the tidymodels ecosystem that converts statistical model outputs (e.g. from lm, glm, t.test, lme4, etc.) into tidy tibbles — standardized data frames — using functions tidy(), glance(), and augment(). These are easier to manipulate, visualize, and report programmatically.
Handling and basic analysis of hyperspectral data in R
The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
Feature extraction toolkit based on a wavelet multiscale
vision model. Includes 1D signal processing sample application for line
identification and classification of astronomical spectra.
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N-GRAM - tool for n-grams extraction from xml files
Main features: (i) XPath expressions for nodes selection and stop patterns identification; (ii) custom xsl stylesheet to filter the n-gram data.