Simulated assignment dataset
This dataset contains simulated hydrogen delta values.
The data can be used as an example to perform assignments using the function isofind
.
A dataframe with 10 observations on 2 variables:
[, 1] | sample_ID | (Factor) | Identification of the sample |
[, 2] | sample_value | (numeric) | Hydrogen delta value of the tissue |
isofind
to perform assignments
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") }
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