Filters a data.frame of patients for valid or invalid ICD codes
filter_valid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(.subset2(x, icd_name)),
invert = FALSE,
...
)filter_invalid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(x[[icd_name]]),
invert = FALSE
)
icd9_filter_valid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(x[[icd_name]]),
invert = FALSE
)
icd10_filter_valid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(x[[icd_name]]),
invert = FALSE
)
icd9_filter_invalid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(x[[icd_name]]),
invert = FALSE
)
icd10_filter_invalid(
x,
icd_name = get_icd_name(x),
short_code = guess_short(x[[icd_name]]),
invert = FALSE
)
a data.frame containing a column of ICD codes
The name of the column in the data.frame
which
contains the ICD codes. This is a character vector of length one. If it is
NULL
, icd9
will attempt to guess the column name, looking for
progressively less likely possibilities until it matches a single column.
Failing this, it will take the first column in the data frame. Specifying
the column using this argument avoids the guesswork.
single logical value which determines whether the ICD-9
code provided is in short (TRUE
) or decimal (FALSE
) form.
Where reasonable, this is guessed from the input data.
Single logical value. Returns the inverse of the result. E.g. if seeking valid ICD-9 codes, the invalid ones are returned.
arguments passed to the class-specific functions
filter_invalid
: Filter invalid rows from data frame of patients with
ICD codes. This can also be achieved with filter_valid
and
invert = TRUE
icd9_filter_valid
: Filter data frame for valid ICD codes