get_data_from_Robj: Extract the snow data from a saved 'robj' file
In SpatialModelsZAMG: Spatial Modeling of Extreme Events

Description Usage Arguments Details Value See Also Examples

this function extracts the snow data from a saved robj file which consists of a list of stations like described in the Details section

1	get_data_from_Robj(dataname, measurements_barrier = 10)

`dataname`	the dataname of the saved `robj` file as a character string
`measurements_barrier`	how many measurements does each station has to have at least. those stations are used later on in the optimization (see functions `optimizer_..._model`). default is `measurements_barrier = 10`

the saved robj file should include a list of stations with dataframes meta and data. stations are ordered via station number.

meta should include stnr, lon, lat and alt

data should include year, sd, swe, date.sd and date.swe

see also the sample snow data from 36 examplary stations distributed over Austria:
‘sample_snow_data’

a list with

`snow_data`	the data of the saved file (as a list). all stations with less than `measurements_barrier` measurements have been deleted
`sd_max_data`	a matrix with the yearly maxima of snow depth (sd). each row corresponds to one station, columns are the corresponding years. matrix might contain `NA`'s
`swe_max_data`	a matrix with the yearly maxima of snow water equivalent (swe). each row corresponds to one station, columns are the corresponding years. matrix might contain `NA`'s
`covariables`	a matrix with the covariables for each station. each row corresponds to one station, columns are `lon` (longitude), `lat` (latitude), `alt` (altitude), `mdday` (mean of the time difference in days of sd and swe maxima), `sd_mmax` (mean maxima of sd over all years) and `swe_mmax` (mean maxima of swe over all years)

model_selection, optimizer_smooth_model, optimizer_biv_hr_model

# load sample_snow_data and save it to working directory
data(sample_snow_data)
save(sample_snow_data, file = "sample_snow_data.robj")

get_data =
  get_data_from_Robj(dataname = "sample_snow_data.robj",
                     measurements_barrier = 3)