IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v018i01.html
   My bibliography  Save this article

An Introduction to the "Special Volume Spectroscopy and Chemometrics in R"

Author

Listed:
  • Mullen, Katharine M.
  • van Stokkum, Ivo H. M.

Abstract

This special volume collates ten issues under the rubric "Spectroscopy and Chemometrics in R". In so doing, it provides an overview of the breadth, depth and state of the art of R-based software projects for spectroscopy and chemometrics applications. Just as the authors have contributed to R their documentation and source code, so has R contributed to the quality, standardization and dissemination of their software, as this volume attests. We hope that the volume is inspiring to both computational statisticians interested in applications of their methodologies and to spectroscopists or chemometricians in need of solutions to their data analysis problems.

Suggested Citation

  • Mullen, Katharine M. & van Stokkum, Ivo H. M., 2007. "An Introduction to the "Special Volume Spectroscopy and Chemometrics in R"," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i01).
    • Handle: RePEc:jss:jstsof:v:018:i01
    DOI: http://hdl.handle.net/10.18637/jss.v018.i01
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v018i01/v18i01.pdf
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v018.i01?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Krastev, Theodor, 2007. "spectrino Software: Spectra Visualization and Preparation for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i10).
    2. Babu, Jogesh G. & Mahabal, Ashish, 2007. "Using R-based VOStat as a Low-Resolution Spectrum Analysis Tool," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i11).
    3. Fraley, Chris & Raftery, Adrian, 2007. "Model-based Methods of Classification: Using the mclust Software in Chemometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i06).
    4. Guha, Rajarshi, 2007. "Chemical Informatics Functionality in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i05).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:jss:jstsof:23:i12 is not listed on IDEAS
    2. repec:jss:jstsof:22:i01 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:jss:jstsof:18:i01 is not listed on IDEAS
    2. repec:jss:jstsof:18:i11 is not listed on IDEAS
    3. Marc Pourroy, 2013. "Inflation-Targeting and Foreign Exchange Interventions in Emerging Economies," Post-Print halshs-00881359, HAL.
    4. Janelle R Noel-MacDonnell & Joseph Usset & Ellen L Goode & Brooke L Fridley, 2018. "Assessment of data transformations for model-based clustering of RNA-Seq data," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-12, February.
    5. Jenna E. Leeuwen & Wail Ba-Alawi & Emily Branchard & Jennifer Cruickshank & Wiebke Schormann & Joseph Longo & Jennifer Silvester & Peter L. Gross & David W. Andrews & David W. Cescon & Benjamin Haibe-, 2022. "Computational pharmacogenomic screen identifies drugs that potentiate the anti-breast cancer activity of statins," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    6. Abby Flynt & Nema Dean & Rebecca Nugent, 2019. "sARI: a soft agreement measure for class partitions incorporating assignment probabilities," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 303-323, March.
    7. Mai, Feng & Fry, Michael J. & Ohlmann, Jeffrey W., 2018. "Model-based capacitated clustering with posterior regularization," European Journal of Operational Research, Elsevier, vol. 271(2), pages 594-605.
    8. Ching-Lin Hsiao & Ai-Ru Hsieh & Ie-Bin Lian & Ying-Chao Lin & Hui-Min Wang & Cathy S J Fann, 2014. "A Novel Method for Identification and Quantification of Consistently Differentially Methylated Regions," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-11, May.
    9. Motegi, Ryosuke & Seki, Yoichi, 2023. "SMLSOM: The shrinking maximum likelihood self-organizing map," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    10. Paula Carroll & Arthur White, 2017. "Identifying Patterns of Learner Behaviour: What Business Statistics Students Do with Learning Resources," INFORMS Transactions on Education, INFORMS, vol. 18(1), pages 1-13, September.
    11. Anna Cichonska & Balaguru Ravikumar & Elina Parri & Sanna Timonen & Tapio Pahikkala & Antti Airola & Krister Wennerberg & Juho Rousu & Tero Aittokallio, 2017. "Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-28, August.
    12. Vega González-Bueso & Juan José Santamaría & Ignasi Oliveras & Daniel Fernández & Elena Montero & Marta Baño & Susana Jiménez-Murcia & Amparo del Pino-Gutiérrez & Joan Ribas, 2020. "Internet Gaming Disorder Clustering Based on Personality Traits in Adolescents, and Its Relation with Comorbid Psychological Symptoms," IJERPH, MDPI, vol. 17(5), pages 1-13, February.
    13. Alina Bărbulescu & Lucica Barbeș & Cristian Ștefan Dumitriu, 2022. "Computer-Aided Methods for Molecular Classification," Mathematics, MDPI, vol. 10(9), pages 1-19, May.
    14. Torben Schubert & Andrea Bonaccorsi & Tasso Brandt & Daniela De Filippo & Benedetto Lepori & Andreas Niederl, 2014. "Is there a European university model? New evidence on national path dependence and structural convergence," Chapters, in: Andrea Bonaccorsi (ed.), Knowledge, Diversity and Performance in European Higher Education, chapter 2, pages iii-iii, Edward Elgar Publishing.
    15. Xuwen Zhu & Volodymyr Melnykov, 2015. "Probabilistic assessment of model-based clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(4), pages 395-422, December.
    16. Olsen, Jerome & Kasper, Matthias & Kogler, Christoph & Muehlbacher, Stephan & Kirchler, Erich, 2019. "Mental accounting of income tax and value added tax among self-employed business owners," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 125-139.
    17. Aleksandr Ianevski & Kristen Nader & Kyriaki Driva & Wojciech Senkowski & Daria Bulanova & Lidia Moyano-Galceran & Tanja Ruokoranta & Heikki Kuusanmäki & Nemo Ikonen & Philipp Sergeev & Markus Vähä-Ko, 2024. "Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:018:i01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.