View source: R/data_cleaners.R
| make_loq | R Documentation | 
Extract numeric, below/above the lower/upper limits of quantification (LLQ and ULQ), and text data from a vector.
make_loq(
  x,
  llq_pattern = "^< *\\(? *([0-9]*\\.?[0-9]+) *\\)?$",
  ulq_pattern = "^> *\\(? *([0-9]*\\.?[0-9]+) *\\)?$",
  number_pattern = "^(+-)?[0-9]+(\\.[0-9]*)?([eE][+-]?[0-9]+)?$",
  replace_llq = 0,
  replace_ulq = Inf,
  ...
)
x | 
 The character vector to extract data from.  | 
llq_pattern, ulq_pattern | 
 A regex or vector of regex values for extracting llq and ULQ. If a vector, all regexes will be tested.  | 
number_pattern | 
 A regex or vector of regex values for finding numbers.  | 
replace_llq, replace_ulq | 
 The value to place in the "number" column when
a llq/ulq is matched (typically   | 
... | 
 Parameters passed to   | 
If llq_pattern or ulq_pattern are regular expressions
that extract a value, then the extracted value will be used in the
"llq"/"ulq" column.  If not, then the value -1 will be inserted.  If
all "llq"/"ulq" values match the number_pattern, then the
"llq"/"ulq" columns will be converted to numeric (if not, a warning will be
given).
a data.frame with columns named "text", "number", "llq", and "ulq".
make_loq(c("1", "A", "<1", ">60"))
make_loq(c("1", "A", "<1", ">60"), replace_llq=NA_real_)
make_loq(c("1", "A", "<1", ">60"), replace_llq=NA_real_, replace_ulq=NA_real_)
make_loq(c("1", "A", "<1", ">ULQ"), replace_llq=NA_real_, replace_ulq=NA_real_)
make_loq(c("1", "A", "<1", ">ULQ"), replace_llq=NA_real_, replace_ulq=NA_real_, ulq_pattern=">ULQ")
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