Simulated Grouped Hyper Data Frame

The complete vignette of R (R Core Team 2025) package groupedHyperframe.random (v0.2.1)

1 Prerequisite

1.1 Environment

Package groupedHyperframe.random (v0.2.1) requires R version 4.5.0 (released 2025-04-11) or higher (macOS, Windows, Linux).

An Integrated Development Environment (IDE), e.g., RStudio (Posit team 2025) or Positron, is not required, but highly recommended.

Environment on author’s computer

Sys.info()[c('sysname', 'release', 'machine')]
#  sysname  release  machine 
# "Darwin" "25.2.0"  "arm64"
R.version
#                _                           
# platform       aarch64-apple-darwin20      
# arch           aarch64                     
# os             darwin20                    
# system         aarch64, darwin20           
# status                                     
# major          4                           
# minor          5.2                         
# year           2025                        
# month          10                          
# day            31                          
# svn rev        88974                       
# language       R                           
# version.string R version 4.5.2 (2025-10-31)
# nickname       [Not] Part in a Rumble

1.2 Enhancement & Dependency

Package groupedHyperframe.random (v0.2.1) Enhances the spatstat.* family of packages (Baddeley, Rubak, and Turner 2015; Baddeley and Turner 2005), especially spatstat.random. Details are provided in the book, Section 7.1.

The dependencies of package groupedHyperframe.random are detailed in the book, Section 7.1.

Package groupedHyperframe.random requires the development versions of the spatstat.* family of packages. Installation instructions are provided in the book, Section 7.1.

1.3 Installation

Packages groupedHyperframe.random (v0.2.1) and groupedHyperframe (v0.3.3.20260123) can be installed using the following command.

utils::install.packages('groupedHyperframe')
utils::install.packages('groupedHyperframe.random')

2 Acknowledgement

Most of this work was undertaken during Tingting Zhan’s leisure hours, with limited support from National Institutes of Health, U.S. Department of Health and Human Services grants

3 References

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with R. London: Chapman; Hall/CRC Press. https://www.routledge.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/p/book/9781482210200/.

Baddeley, Adrian, and Rolf Turner. 2005. “spatstat: An R Package for Analyzing Spatial Point Patterns.” Journal of Statistical Software 12 (6): 1–42. https://doi.org/10.18637/jss.v012.i06.

Posit team. 2025. RStudio: Integrated Development Environment for R. Boston, MA: Posit Software, PBC. https://posit.co/.

R Core Team. 2025. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.