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IsoriX (version 0.6)

AssignDataAlien: Simulated assignment dataset

Description

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

Arguments

Format

A dataframe with 10 observations on 2 variables:

[, 1] animalID (Factor) Identification of the animal
[, 2] tissue.value (numeric) Deuterium delta value of the tissue

See Also

isofind to perform assignments

Examples

Run this code
# NOT RUN {
head(AssignDataAlien)
str(AssignDataAlien)

## The examples below will only be run if sufficient time is allowed
## You can change that by typing e.g. IsoriX.options(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(IsoriX.getOption("example_maxtime") > 30) {

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

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

## We build the isoscape
isoscape <- isoscape(elevation.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 = isoscape,
                        elevation_raster = ElevRasterDE,
                        coordinates = data.frame(siteID = "Berlin",
                                                 long   = 13.52134,
                                                 lat    = 52.50598),
                        n_sites = 1,
                        min_n_samples = 10,
                        max_n_samples = 10)
AssignDataAlien <- Aliens[, c("animalID", "tissue.value")]

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

}

# }

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