IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v007i10.html
   My bibliography  Save this article

zt: A Sofware Tool for Simple and Partial Mantel Tests

Author

Listed:
  • Bonnet, Eric
  • de Peer, Yves Van

Abstract

Different methods of data analysis (e.g. clustering and ordination) are based on distance matrices. In some cases, researchers may wish to compare several distance matrices with one another in order to test a hypothesis concerning a possible relationship between these matrices. However, this is not always self-evident. Usually, values in distance matrices are, in some way, correlated and therefore the usual assumption of independence between objects is violated in the classical tests approach. Furthermore, often, spurious correlations can be observed when comparing two distances matrices. A classic example is the comparison between genetic and environmental distances. Colonies that are in close proximity of each other tend to have similar environments and therefore there will be a positive correlation between environmental and geographical distances. Such colonies will also be more likely to exchange migrants so that genetic distances will be positively correlated with spatial distances. The consequence is that an observed positive association between genetic and environmental distances may be simply due to spatial effects. The most widely used method to account for distance correlations is a procedure known as the Mantel test (Mantel,'67; Mantel and Valand,'70 following the pioneering work of Daniels,'44 ; Daniels and Kendall'47). The simple Mantel test considers two matrices while an extension known as the partial Mantel test considers three matrices. These tools are widely used in different fields of research such as population genetics, ecology, anthropology, psychometrics and sociology.

Suggested Citation

  • Bonnet, Eric & de Peer, Yves Van, 2002. "zt: A Sofware Tool for Simple and Partial Mantel Tests," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i10).
  • Handle: RePEc:jss:jstsof:v:007:i10
    DOI: http://hdl.handle.net/10.18637/jss.v007.i10
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v007i10/zt.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v007i10/zt_linux.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v007i10/zt_mac_osx.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v007i10/zt_solaris.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v007i10/zt_win.zip
    Download Restriction: no

    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v007.i10?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. Freedman, David & Lane, David, 1983. "A Nonstochastic Interpretation of Reported Significance Levels," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 292-298, October.
    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. Hyojoong Kim & Wonhoon Lee & Seunghwan Lee, 2010. "Morphometric Relationship, Phylogenetic Correlation, and Character Evolution in the Species-Rich Genus Aphis (Hemiptera: Aphididae)," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-13, July.

    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. Niels Lundtorp Olsen & Alessia Pini & Simone Vantini, 2021. "False discovery rate for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 784-809, September.
    2. Stephen Klein & David Freedman & Richard Shavelson & Roger Bolus, 2008. "Assessing School Effectiveness," Evaluation Review, , vol. 32(6), pages 511-525, December.
    3. Orla Doyle & Liam Delaney & Christine O'Farrelly & Nick Fitzpatrick & Michael Daly, 2015. "Can Early Intervention Improve Maternal Well-being? Evidence from a Randomized Controlled Trial," Working Papers 2015-015, Human Capital and Economic Opportunity Working Group.
    4. Stefano Bonnini & Michela Borghesi, 2022. "Relationship between Mental Health and Socio-Economic, Demographic and Environmental Factors in the COVID-19 Lockdown Period—A Multivariate Regression Analysis," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    5. repec:jss:jstsof:07:i10 is not listed on IDEAS
    6. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    7. Orla Doyle, 2017. "The First 2,000 Days and Child Skills: Evidence from a Randomized Experiment of Home Visiting," Working Papers 2017-054, Human Capital and Economic Opportunity Working Group.
    8. Charles A. Holt & Sean P. Sullivan, 2023. "Permutation tests for experimental data," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 775-812, September.
    9. Juliana Menger & William E Magnusson & Marti J Anderson & Martin Schlegel & Guy Pe’er & Klaus Henle, 2017. "Environmental characteristics drive variation in Amazonian understorey bird assemblages," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-20, February.
    10. Hu, Yuan & Behrman, Jere R. & Zhang, Junsen, 2021. "The causal effects of parents’ schooling on children's schooling in urban China," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 258-276.
    11. Orla Doyle, 2024. "Can Early Intervention Have a Sustained Effect on Human Capital?," Journal of Human Resources, University of Wisconsin Press, vol. 59(5), pages 1599-1636.
    12. Kherad-Pajouh, Sara & Renaud, Olivier, 2010. "An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1881-1893, July.
    13. Michael Daly & Liam Delaney & Orla Doyle & Nick Fitzpatrick & Christine O'Farrelly, 2014. "Can Early Intervention Policies Improve Well-being? Evidence from a randomized controlled trial," Working Papers 201415, School of Economics, University College Dublin.
    14. Gill,Indermit S., 1990. "Does the structure of production affect demand for schooling in Peru?," Policy Research Working Paper Series 468, The World Bank.
    15. Agostino Torti & Alessia Pini & Simone Vantini, 2021. "Modelling time‐varying mobility flows using function‐on‐function regression: Analysis of a bike sharing system in the city of Milan," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 226-247, January.
    16. Pinto, Rodrigo, 2010. "Evaluation of Small-sample Compromised Randomization: Long-term Effects of Early Childhood Intervention on Health and Addictive Behavior," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    17. Sara Kherad-Pajouh & Olivier Renaud, 2015. "A general permutation approach for analyzing repeated measures ANOVA and mixed-model designs," Statistical Papers, Springer, vol. 56(4), pages 947-967, November.
    18. Pini, Alessia & Stamm, Aymeric & Vantini, Simone, 2018. "Hotelling’s T2 in separable Hilbert spaces," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 284-305.
    19. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.
    20. Nathaniel E. Helwig, 2022. "Robust Permutation Tests for Penalized Splines," Stats, MDPI, vol. 5(3), pages 1-18, September.
    21. Cyrus J. DiCiccio & Joseph P. Romano, 2017. "Robust Permutation Tests For Correlation And Regression Coefficients," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1211-1220, July.

    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:007:i10. 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.