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tidyspec  

Spectroscopy Analysis Using the Tidy Data Philosophy
View on CRAN: Click here


Download and install tidyspec package within the R console
Install from CRAN:
install.packages("tidyspec")

Install from Github:
library("remotes")
install_github("cran/tidyspec")

Install by package version:
library("remotes")
install_version("tidyspec", "0.1.0")



Attach the package and use:
library("tidyspec")
Maintained by
Marcel Ferreira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-12
Latest Update: 2025-06-12
Description:
Enables the analysis of spectroscopy data such as infrared ('IR'), Raman, and nuclear magnetic resonance ('NMR') using the tidy data framework from the 'tidyverse'. The 'tidyspec' package provides functions for data transformation, normalization, baseline correction, smoothing, derivatives, and both interactive and static visualization. It promotes structured, reproducible workflows for spectral data exploration and preprocessing. Implemented methods include Savitzky and Golay (1964) "Smoothing and Differentiation of Data by Simplified Least Squares Procedures" <doi:10.1021/ac60214a047>, Sternberg (1983) "Biomedical Image Processing" <https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1654163>, Zimmermann and Kohler (1996) "Baseline correction using the rolling ball algorithm" <doi:10.1016/0168-583X(95)00908-6>, Beattie and Esmonde-White (2021) "Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra" <doi:10.1177/0003702820987847>, Wickham et al. (2019) "Welcome to the tidyverse" <doi:10.21105/joss.01686>, and Kuhn, Wickham and Hvitfeldt (2024) "recipes: Preprocessing and Feature Engineering Steps for Modeling" <https://CRAN.R-project.org/package=recipes>.
How to cite:
Marcel Ferreira (2025). tidyspec: Spectroscopy Analysis Using the Tidy Data Philosophy. R package version 0.1.0, https://cran.r-project.org/web/packages/tidyspec. Accessed 25 Jun. 2026.
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Full tidyspec package functions and examples
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