1. A convenient tool for bivariate data analysis and bar graph plotting with R
- Author
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Megan Cross, Andreas Hofmann, Malte A. Karow, Jan Hendrik Straub, Christoph S. Clemen, and Ludwig Eichinger
- Subjects
0303 health sciences ,Java ,business.industry ,Computer science ,Programming language ,Bar chart ,05 social sciences ,Scalable Vector Graphics ,050301 education ,computer.file_format ,computer.software_genre ,Biochemistry ,Pipeline (software) ,law.invention ,03 medical and health sciences ,Software ,Bivariate data ,law ,business ,0503 education ,Molecular Biology ,computer ,030304 developmental biology ,computer.programming_language ,Graphical user interface - 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 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.
- Published
- 2019