| int_unexp_records_set {dataquieR} | R Documentation | 
Check for unexpected data record set
Description
This function tests that the identifiers match a provided record set. It is possible to check for unexpected data record sets by study segments or to consider only selected segments.
Usage
int_unexp_records_set(level = c("dataframe", "segment"), ...)
Arguments
level | 
 character a character vector indicating whether the assessment should be conducted at the study level (level = "dataframe") or at the segment level (level = "segment").  | 
... | 
 Depending on   | 
Value
a list. Depending on level, see
util_int_unexp_records_set_segment or
util_int_unexp_records_set_dataframe for a description of the outputs.
Examples
## Not run: 
study_data <- readRDS(system.file("extdata", "ship.RDS",
  package = "dataquieR"
))
meta_data <- readRDS(system.file("extdata", "ship_meta.RDS",
  package = "dataquieR"
))
md1_segment <- readRDS(system.file("extdata", "meta_data_segment.RDS",
  package = "dataquieR"
))
ids_segment <- readRDS(system.file("extdata", "meta_data_ids_segment.RDS",
  package = "dataquieR"
))
# TODO: update examples
int_unexp_records_set(
  level = "segment",
  identifier_name_list = c("INTERVIEW", "LABORATORY"),
  valid_id_table_list = ids_segment,
  meta_data_record_check = md1_segment[,
    c("STUDY_SEGMENT", "SEGMENT_RECORD_CHECK")],
  study_data = study_data,
  meta_data = meta_data,
  meta_data_level = md1_segment
)
## End(Not run)
[Package dataquieR version 2.1.0 Index]