Fill in missing and non-missing values across interrelated survey questions

Usage

qualtrics_define_missing(
  df,
  question_code_include,
  question_code_omit = NULL,
  default_values = list("No", 0, as.Date(0)),
  predicate_question = NULL,
  predicate_question_negative_value = NULL
)

Arguments

df: A dataframe of survey responses
question_code_include: A regex that matches the columns to include in the missing non-missing value imputation
question_code_omit: A regex that matches the columns to omit from the missing non-missing value imputation
default_values: A list of length three, specifying the default, non-missing values to be used for character, numeric, and Date columns, respectively
predicate_question: Optional. The name of a single column that controls whether columns selected with question_code_include
predicate_question_negative_value: If predicate_question is specified, provide the value that indicates a negative response to the predicate question. For responses where the predicate question has this value, this value will be imputed to the specified columns

Value

The inputted df object with missing/non-missing values applied to specified columns