orange_df: Growth of Orange Trees

In dataset: Create Data Frames for Exchange and Reuse

Growth of Orange Trees

Description

A dataset recording the growth of orange trees, replicated from the classic datasets::Orange dataset and implemented as a dataset_df S3 class with enhanced semantic metadata.

Usage

orange_df

Format

A data frame with 35 rows and 4 variables:

• rowid: A unique identifier for each row (character)

• tree: Tree identifier (ordered factor)

• age: Age of the tree in days (numeric)

• circumference: Trunk circumference in mm (numeric)

Details

This is a semantically enriched version of the classic Orange dataset, constructed using the dataset_df() and dublincore() constructors. Each column includes semantic metadata such as units, labels, concepts, or namespace identifiers. The dataset also embeds a machine-readable citation for reproducibility and provenance tracking.

Constructor Example

orange_bibentry <- dublincore(
  title = "Growth of Orange Trees",
  creator = c(
    person(
      given = "N.R.",
      family = "Draper",
      role = "cre",
      comment = c(VIAF = "http://viaf.org/viaf/84585260")
    ),
    person(
      given = "H",
      family = "Smith",
      role = "cre"
    )
  ),
  contributor = person(
    given = "Antal",
    family = "Daniel",
    role = "dtm"
  ),
  publisher = "Wiley",
  datasource = "https://isbnsearch.org/isbn/9780471170822",
  dataset_date = 1998,
  identifier = "https://doi.org/10.5281/zenodo.14917851",
  language = "en",
  description = "The Orange data frame has 35 rows and 3 columns of records of the growth of orange trees."
)

orange_df <- dataset_df(
  rowid = defined(paste0("orange:", row.names(Orange)),
    label = "ID in the Orange dataset",
    namespace = c("orange" = "datasets::Orange")
  ),
  tree = defined(Orange$Tree,
    label = "The number of the tree"
  ),
  age = defined(Orange$age,
    label = "The age of the tree",
    unit = "days since 1968/12/31"
  ),
  circumference = defined(Orange$circumference,
    label = "circumference at breast height",
    unit = "milimeter",
    concept = "https://www.wikidata.org/wiki/Property:P2043"
  ),
  dataset_bibentry = orange_bibentry
)

orange_df$rowid <- defined(orange_df$rowid,
  namespace = "https://doi.org/10.5281/zenodo.14917851"
)

References

• Draper, N. R. & Smith, H. (1998). Applied Regression Analysis (3rd ed.). Wiley.

• Pinheiro, J. C. & Bates, D. M. (2000). Mixed-effects Models in S and S-PLUS. Springer.

• Becker, R. A., Chambers, J. M. & Wilks, A. R. (1988). The New S Language. Wadsworth & Brooks/Cole.

Examples

# Print with semantic citation and data preview
print(orange_df)

# Access semantic metadata associated with variables
print(orange_df$age)

# Retrieve the embedded bibliographic record
as_dublincore(orange_df)

dataset documentation built on Nov. 16, 2025, 5:06 p.m.