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A convenient tool for bivariate data analysis and bar graph plotting with R
Author(s) -
Hofmann Andreas,
Cross Megan,
Karow Malte A.,
Straub Jan H.,
Clemen Christoph S.,
Eichinger Ludwig
Publication year - 2019
Publication title -
biochemistry and molecular biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 39
eISSN - 1539-3429
pISSN - 1470-8175
DOI - 10.1002/bmb.21205
Subject(s) - bar chart , computer science , scalable vector graphics , graphical user interface , pipeline (software) , programming language , java , user interface , graph , software , bivariate data , interface (matter) , bivariate analysis , bar (unit) , data mining , computer graphics (images) , operating system , theoretical computer science , mathematics , statistics , physics , bubble , machine learning , maximum bubble pressure method , meteorology
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. © 2019 International Union of Biochemistry and Molecular Biology, 47(2): 207–210, 2019.