ggplot2, by Hadley Wickham, is an excellent and flexible package for elegant data visualization in R. However the default generated plots require some formatting before we can send them for ...

The identification and visualization of functional elements within biological sequences offers visual presentation for biologists to integrate annotation, and also helps them to produce high-quality ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

bDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht 3584CX, the Netherlands cDepartment of Medical Oncology, Amsterdam UMC, VU ...

Spatial data analysis has become increasingly important in various fields, including urban planning, environmental science, agriculture, and epidemiology. With the rise of geographic information ...

Abstract: The purpose of this study is to develop a prediction formula for the winning points of the J-League, a Japanese soccer league, and compare it with the actual winning points. The Pythagorean ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

Venn diagrams are widely used diagrams to show the set relationships in biomedical studies. In this study, we developed ggVennDiagram, an R package that could automatically generate high-quality Venn ...

Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic ...