coder (version 0.13.10)

summary.classcodes: Summarizing a classcodes object

Description

Classification schemes are formalized by regular expressions within the classcodes objects. These are computationally effective but sometimes hard to interpret. Use this function to list all codes identified for each group.

Usage

# S3 method for classcodes
summary(object, coding, ..., cc_args = list())
# S3 method for summary.classcodes
print(x, ...)

Value

Methods primarily called for their side effects (printing to the screen) but with additional invisible objects returned:

• summary.classcodes(): list with input arguments object and coding unchanged, as well as a data frame (summary) with columns for groups identified (group); the number of codes to be recognized for each group (n) and individual codes within each group (codes).

• print.summary.classcodes(): argument x unchanged

Arguments

object

classcodes object

coding

either a vector with codes from the original classification, or a name (character vector of length one) of a keyvalue object from package "decoder" (for example "icd10cm" or "atc")

...

• summary.classcodes(): ignored

• print.summary.classcodes(): arguments passed to tibble:::print.tbl()

cc_args

List of named arguments passed to set_classcodes()

x

output from summary.classcodes()

See Also

Other classcodes: all_classcodes(), as.data.frame.classified(), classcodes, codebook(), print.classcodes(), print.classified(), set_classcodes(), visualize.classcodes()

Examples

# summary.classcodes() ----------------------------------------------------

# Summarize all ICD-10-CM codes identified by the Elixhauser
# comorbidity classification
# See `?decoder::icd10cm` for details
summary(elixhauser, coding = "icd10cm")

# Is there a difference if instead considering the Swedish ICD-10-SE?
# See `?decoder::icd10se` for details
summary(elixhauser, coding = "icd10se")

# Which ICD-9-CM diagnostics codes are recognized by Charlson according to
# Brusselears et al. 2017 (see `?charlson`)
summary(
  charlson, coding = "icd9cmd",
  cc_args = list(regex = "icd9_brusselaers")
)


# print.summary.classcodes() ----------------------------------------------

# Print all 31 lines of the summarized Elixhauser classcodes object
print(
  summary(elixhauser, coding = "icd10cm"),
  n = 31
)