make_cont_table: Create Contigency Values
In RobinKohrs/rainfallR: Extract and manipulate gridded rainfall measurements

Provide a model, newdata and some other values and this function hopefully creates a contigency matrix like dataframe

make_cont_table(
  model,
  new_data,
  cm = TRUE,
  x_var = "duration",
  y_var = "sum_rain",
  true_class = "class",
  trigger = "trigger",
  notrigger = "notrigger",
  quantiles = seq(0, 1, by = 0.01)
)

`model`	The Model
`new_data`	A dataframe with the newdata to apply the model (must have the predictors from the model) as columns. Otherwise will hopefully throw an error
`cm`	If `TRUE` will output a "short" daatframe and only contain the count of the contigency values. If `FALSE` will add to each obsevation the contigency value
`x_var`	The name of the column of the Predictor in our model
`y_var`	The name of the column of the dependent variables (cumulated rainfall, intensity)
`true_class`	Name of the column that hold the binary "true" values
`trigger`	The representation of the true (postive) value in the `true_class` column
`notrigger`	The representation of the false (negative) value in the `true_class` column
`quantiles`	...