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  • A convenient tool for bivariate data analysis and bar graph plotting with R

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    Hofmann154223.pdf (922.3Kb)
    Author(s)
    Hofmann, Andreas
    Cross, Megan
    Karow, Malte A
    Straub, Jan H
    Clemen, Christoph S
    Eichinger, Ludwig
    Griffith University Author(s)
    Hofmann, Andreas
    Cross, Megan O.
    Year published
    2019
    Metadata
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    Abstract
    The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two‐sided Student's t test is carried out against a user‐selected reference and p‐values are calculated. The user can enter the data conveniently through the built‐in spreadsheet and configure the R pipeline in the graphical user interface. The configured R script is written into a file and then executed. Bar graphs can be ...
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    The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two‐sided Student's t test is carried out against a user‐selected reference and p‐values are calculated. The user can enter the data conveniently through the built‐in spreadsheet and configure the R pipeline in the graphical user interface. The configured R script is written into a file and then executed. Bar graphs can be generated as static PNG, PDF, and SVG files or as interactive HTML widgets.
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    Journal Title
    BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION
    Volume
    47
    Issue
    2
    DOI
    https://doi.org/10.1002/bmb.21205
    Copyright Statement
    © 2019 International Union of Biochemistry and Molecular Biology, Inc. This is the peer reviewed version of the following article: A Convenient Tool for Bivariate DataAnalysis and Bar Graph Plotting with R, Biochemistry and Molecular Biology Education, Volume 47, Number 2, March/April 2019, Pages 207–210, which has been published in final form at 10.1002/bmb.21205. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.htm
    Subject
    Biochemistry and cell biology
    Curriculum and pedagogy
    Analysis pipeline
    Data visualization
    HTML widgets
    Plotly
    R tools
    Publication URI
    http://hdl.handle.net/10072/382750
    Collection
    • Journal articles

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