AssignDataAlien: Simulated assignment dataset

In IsoriX: Isoscape Computation and Inference of Spatial Origins using Mixed Models

Simulated assignment dataset

Description

This dataset contains simulated hydrogen delta values. The data can be used as an example to perform assignments using the function isofind.

Format

A dataframe with 10 observations and 2 variables:

sample_ID	(factor)	Identification of the sample
sample_value	(numeric)	Hydrogen delta value of the tissue

See Also

isofind to perform assignments

Examples

head(AssignDataAlien)
str(AssignDataAlien)

## The examples below will only be run if sufficient time is allowed
## You can change that by typing e.g. options_IsoriX(example_maxtime = XX)
## if you want to allow for examples taking up to ca. XX seconds to run
## (so don't write XX but put a number instead!)

if (getOption_IsoriX("example_maxtime") > 30) {
  ## The following describes how we created such dataset

  ### We prepare the precipitation data
  GNIPDataDEagg <- prepsources(data = GNIPDataDE)

  ### We fit the models for Germany
  GermanFit <- isofit(data = GNIPDataDEagg)

  ### We build the isoscape
  GermanScape <- isoscape(raster = ElevRasterDE, isofit = GermanFit)

  ### We create a simulated dataset with 1 site and 10 observations
  set.seed(1L)
  Aliens <- create_aliens(
    calib_fn = list(intercept = 3, slope = 0.5, resid_var = 5),
    isoscape = GermanScape,
    raster = ElevRasterDE,
    coordinates = data.frame(
      site_ID = "Berlin",
      long = 13.52134,
      lat = 52.50598
    ),
    n_sites = 1,
    min_n_samples = 10,
    max_n_samples = 10
  )
  AssignDataAlien <- Aliens[, c("sample_ID", "sample_value")]

  ### Uncomment the following to store the file as we did
  # save(AssignDataAlien, file = "AssignDataAlien.rda", compress = "xz")
}

IsoriX documentation built on Sept. 11, 2024, 8:22 p.m.