--- title: "Grouped Hyper Data Frame" author: Tingting Zhan date: today format: html: page-layout: full html-math-method: katex link-external-icon: true link-external-newwindow: true number-sections: true toc: true toc-location: left toc-depth: 4 toc-title: '' editor: source bibliography: groupedHyperframe.bib knitr: opts_chunk: collapse: true comment: "#" vignette: > %\VignetteIndexEntry{intro} %\VignetteEngine{quarto::html} %\VignetteEncoding{UTF-8} --- The complete vignette of R package **`groupedHyperframe`** (v`r packageVersion('groupedHyperframe')`) > documents - the creation of *grouped hyper data frame*; - the creation of a grouped hyper data frame with one-and-only-one point-pattern hypercolumn; - the batch process on eligible marks for the one-and-only-one point-pattern hypercolumn in a (grouped) hyper data frame; - the computation of various summary statistics from one or more function-value-table hypercolumn(s) of a (grouped) hyper data frame; - the aggregation of summary statistics, over a (nested) grouping structure, in a grouped hyper data frame. The complete vignette exceeds the file size limit allowed on [CRAN](https://cran.r-project.org/package=groupedHyperframe). # Prerequisite ## Environment Package **`groupedHyperframe`** (v`r packageVersion('groupedHyperframe')`) requires R version 4.5.0 (released 2025-04-11) or higher ([macOS](https://cran.r-project.org/bin/macosx/), [Windows](https://cran.r-project.org/bin/windows/base/), [Linux](https://cran.r-project.org/bin/linux/)). An Integrated Development Environment (IDE), e.g., [RStudio](https://posit.co/download/rstudio-desktop/) [@RStudio] or [Positron](https://positron.posit.co/download.html), is not required, but highly recommended. ```{r} #| code-fold: true #| code-summary: "Environment on author's computer" #| label: author-env Sys.info()[c('sysname', 'release', 'machine')] R.version ``` ## Enhancement & Dependency Package **`groupedHyperframe`** (v`r packageVersion('groupedHyperframe')`) `Enhances` the **`spatstat.*`** family of packages [@spatstat15; @spatstat05], especially **`spatstat.geom`** and **`spatstat.explore`**. Details are provided in the [complete vignette](https://rpubs.com/tingtingzhan/groupedHyperframe), Section 4.1. The dependencies of package **`groupedHyperframe`** are detailed in the [complete vignette](https://rpubs.com/tingtingzhan/groupedHyperframe), Section 4.1. Package **`groupedHyperframe`** requires the *development versions* of the **`spatstat.*`** family of packages. Installation instructions are provided in the [complete vignette](https://rpubs.com/tingtingzhan/groupedHyperframe), Section 4.1. ## Installation Package **`groupedHyperframe`** (v`r packageVersion('groupedHyperframe')`) can be installed using the following command. ```{r} #| eval: false utils::install.packages('groupedHyperframe') ``` # Getting Started Examples in the [complete vignette](https://rpubs.com/tingtingzhan/groupedHyperframe) require that the `search` path has ```{r} #| message: false #| label: search library(groupedHyperframe) library(survival) ``` ```{r} #| echo: false #| label: CRAN_cores options(cores = 2L) ``` # Peer-Reviewed Publications Package **`groupedHyperframe`** (v`r packageVersion('groupedHyperframe')`) plays a pivotal role in these peer reviewed publications from the authors. ## @Zhan25 ```{r} #| echo: false Zhan25 = bibentry( bibtype = 'article', title = 'Quantile Index predictors using R package `hyper.gam`', author = c('Tingting Zhan', 'Misung Yi', 'Inna Chervoneva' ), journal = 'Bioinformatics', volume = {41}, number = {8}, pages = 'btaf430', year = '2025', month = '07', issn = '1367-4811', doi = '10.1093/bioinformatics/btaf430' ) ``` > `r Zhan25 |> format(style = 'text') |> gsub(pattern = '\n', replacement = ' ', x = _)`
[BibTeX](https://ctan.org/pkg/bibtex) and/or [BibLaTeX](https://ctan.org/pkg/biblatex) entries for [LaTeX](https://www.latex-project.org) users ```{r} #| echo: false #| comment: '' c( Zhan25, citation(package = 'groupedHyperframe') ) |> toBibtex() ```
as well as @Yi25; @Yi23a; @Yi23b, was featured with a hyper data frame *`Ki67q`* with a numeric-hypercolumn *`logKi67.quantile`*. Functions in the R code-chunk below are explained in the [complete vignette](https://rpubs.com/tingtingzhan/groupedHyperframe). ```{r} #| code-fold: true #| code-summary: 'R code in @Zhan25' Ki67q = groupedHyperframe::Ki67 |> within.data.frame(expr = { x = y = NULL # remove x- and y-coords for non-spacial application }) |> as.groupedHyperframe(group = ~ patientID/tissueID) |> quantile(probs = seq.int(from = .01, to = .99, by = .01)) |> aggregate(by = ~ patientID) ``` ```{r} #| message: false #| code-fold: true #| code-summary: 'A `hyperframe` object *`Ki67q`*: aggregated quantiles' Ki67q |> head() ``` Readers are encouraged to learn more about this application from package **`hyper.gam`** [@hypergam, [CRAN](https://CRAN.R-project.org/package=hyper.gam), [Github](https://github.com/tingtingzhan/hyper.gam)] [vignette](https://rpubs.com/tingtingzhan/hyper_gam), section *Quantile Index*. # Acknowledgement This work is supported by National Institutes of Health, U.S. Department of Health and Human Services grants - R01CA222847 ([I. Chervoneva](https://orcid.org/0000-0002-9104-4505), [T. Zhan](https://orcid.org/0000-0001-9971-4844), and [H. Rui](https://orcid.org/0000-0002-8778-261X)) - R01CA253977 (H. Rui and I. Chervoneva). # References {.appendix} ::: {#refs} :::