IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v049i07.html
   My bibliography  Save this article

The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis

Author

Listed:
  • Fox, John
  • Carvalho, Marilia S.

Abstract

The R Commander graphical user interface to R is extensible via plug-in packages, which integrate seamlessly with the R Commander's menu structure, data, and model handling. The paper describes the RcmdrPlugin.survival package, which makes many of the facilities of the survival package for R available through the R Commander, including Cox and parametric survival models. We explain the structure, capabilities, and limitations of this plug-in package and illustrate its use.

Suggested Citation

  • Fox, John & Carvalho, Marilia S., 2012. "The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i07).
    • Handle: RePEc:jss:jstsof:v:049:i07
    DOI: http://hdl.handle.net/10.18637/jss.v049.i07
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v049i07/v49i07.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v049i07/RcmdrPlugin.survival_1.0-2.tar.gz
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v049i07/v49i07.R
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v049.i07?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. Wickham, Hadley, 2007. "Reshaping Data with the reshape Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i12).
    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. Downie, Tim, 2016. "Using the R Commander: A Point-and-Click Interface for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(b03).
    2. Fellows, Ian, 2012. "Deducer: A Data Analysis GUI for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i08).
    3. Cheng, Ya-Shan & Peng, Chien-Yu, 2012. "Integrated Degradation Models in R Using iDEMO," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i02).
    4. Bastiaan Quast & Victor Kummritz, 2015. "Decompr: Global Value Chain Decomposition In R," CTEI Working Papers series 01-2015, Centre for Trade and Economic Integration, The Graduate Institute.
    5. Valero-Mora, Pedro M. & Ledesma, Ruben, 2012. "Graphical User Interfaces for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i01).

    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. Augustinus, Benno A. & Blum, Moshe & Citterio, Sandra & Gentili, Rodolfo & Helman, David & Nestel, David & Schaffner, Urs & Müller-Schärer, Heinz & Lensky, Itamar M., 2022. "Ground-truthing predictions of a demographic model driven by land surface temperatures with a weed biocontrol cage experiment," Ecological Modelling, Elsevier, vol. 466(C).
    2. Julio Cesar Alonso Cifuentes & Jaime Andres Carabali, 2019. "Breve Tuturial para visualizar y Calcular Métricas de Redes (grafos) en R (para Económisas)," Icesi Economics Lecture Notes 18170, Universidad Icesi.
    3. Miller, Christine M.F. & Waterhouse, Hannah & Harter, Thomas & Fadel, James G. & Meyer, Deanne, 2020. "Quantifying the uncertainty in nitrogen application and groundwater nitrate leaching in manure based cropping systems," Agricultural Systems, Elsevier, vol. 184(C).
    4. Sarlas, Georgios & Páez, Antonio & Axhausen, Kay W., 2020. "Betweenness-accessibility: Estimating impacts of accessibility on networks," Journal of Transport Geography, Elsevier, vol. 84(C).
    5. Marin FOTACHE & Florin DUMITRU & Valerica GREAVU-SERBAN, 2015. "An Information Systems Master Programme in Romania. Some Commonalities and Specificities," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(3), pages 5-18.
    6. Martijn Van Heel & Dinska Van Gucht & Koen Vanbrabant & Frank Baeyens, 2017. "The Importance of Conditioned Stimuli in Cigarette and E-Cigarette Craving Reduction by E-Cigarettes," IJERPH, MDPI, vol. 14(2), pages 1-18, February.
    7. Sean McKenzie & Hilary Parkinson & Jane Mangold & Mary Burrows & Selena Ahmed & Fabian Menalled, 2018. "Perceptions, Experiences, and Priorities Supporting Agroecosystem Management Decisions Differ among Agricultural Producers, Consultants, and Researchers," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    8. Milad Abbasiharofteh & Tom Broekel, 2021. "Still in the shadow of the wall? The case of the Berlin biotechnology cluster," Environment and Planning A, , vol. 53(1), pages 73-94, February.
    9. Jill F. Lundell & Brennan Bean & Jürgen Symanzik, 2023. "Let’s talk about the weather: a cluster-based approach to weather forecast accuracy," Computational Statistics, Springer, vol. 38(3), pages 1135-1155, September.
    10. Andee J. Kaplan & Eric R. Hare, 2019. "Putting down roots: a graphical exploration of community attachment," Computational Statistics, Springer, vol. 34(4), pages 1449-1464, December.
    11. Haider, Saira M. & Benscoter, Allison M. & Pearlstine, Leonard & D'Acunto, Laura E. & Romañach, Stephanie S., 2021. "Landscape-scale drivers of endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) presence using an ensemble modeling approach," Ecological Modelling, Elsevier, vol. 461(C).
    12. C. J. Torrecilla-Salinas & O. Troyer & M. J. Escalona & M. Mejías, 2019. "A Delphi-based expert judgment method applied to the validation of a mature Agile framework for Web development projects," Information Technology and Management, Springer, vol. 20(1), pages 9-40, March.
    13. Priyanga Dilini Talagala & Rob J Hyndman & Kate Smith-Miles & Sevvandi Kandanaarachchi & Mario A Munoz, 2018. "Anomaly detection in streaming nonstationary temporal data," Monash Econometrics and Business Statistics Working Papers 4/18, Monash University, Department of Econometrics and Business Statistics.
    14. Thelma Dede Baddoo & Zhijia Li & Yiqing Guan & Kenneth Rodolphe Chabi Boni & Isaac Kwesi Nooni, 2020. "Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions," IJERPH, MDPI, vol. 17(11), pages 1-26, June.
    15. Sólymos, Péter, 2009. "Processing Ecological Data in R with the mefa Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i08).
    16. Paul J McMurdie & Susan Holmes, 2014. "Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-12, April.
    17. Priscila Villalobos Perna & Mirko Di Febbraro & Maria Laura Carranza & Flavio Marzialetti & Michele Innangi, 2023. "Remote Sensing and Invasive Plants in Coastal Ecosystems: What We Know So Far and Future Prospects," Land, MDPI, vol. 12(2), pages 1-16, January.
    18. Bikram K. Das & Robiul Islam Rubel & Surbhi Gupta & Yajun Wu & Lin Wei & Volker S. Brözel, 2022. "Impacts of Biochar-Based Controlled-Release Nitrogen Fertilizers on Soil Prokaryotic and Fungal Communities," Agriculture, MDPI, vol. 12(10), pages 1-15, October.
    19. Stefan LINGNER & Eiko THIESSEN & Kerrin MÜLLER & Eberhard HARTUNG, 2018. "Dry Biomass Estimation of Hedge Banks: Allometric Equation vs. Structure from Motion via Unmanned Aerial Vehicle," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 64(4), pages 149-156.
    20. Miriam Brinberg & Nilam Ram & Gizem Hülür & Timothy R Brick & Denis Gerstorf, 2018. "Analyzing Dyadic Data Using Grid-Sequence Analysis: Interdyad Differences in Intradyad Dynamics," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(1), pages 5-18.

    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:049:i07. 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.