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

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Author(s)
Hofmann, Andreas
Cross, Megan
Karow, Malte A
Straub, Jan H
Clemen, Christoph S
Eichinger, Ludwig
Year published
2019
Metadata
Show full item recordAbstract
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 ...
View more >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.
View less >
View more >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.
View less >
Journal Title
BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION
Volume
47
Issue
2
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