Validate deep_mutational_scan objects

Source: R/deep_mutational_scan.R

Check properties of deep_mutational_scan object adhere to various baseline expectations, which would lead to downstream errors if not caught.

validate_deep_mutational_scan(x)

Arguments

x

deep_mutational_scan object.

Value

The input is returned unaltered, since the main purpose of the function is to raise an error if the object is erroneous.

Details

The following assumptions are currently checked:

  • Correct class set

  • Correct fields present

  • data is a tibble

  • imputed is logical

  • annotated is logical

  • multi_study is logical

  • data contains the correct columns and no incorrect ones

  • data contains no duplicate rows

  • meta list is correctly structured

  • meta list contains values for each unique name

  • The correct additional columns are present when the object is annotated or imputed

  • No NA scores remain for imputed objects

  • Objects listed as multi_study contain data from multiple studies