summary.classcodes()
and visualize.classcodes()
are used to
summarize/visualize classcodes in R. A codebook, on the other hand,
is an exported summary
saved in an Excel spreadsheet to use in collaboration with non R-users.
Several codebooks might be combined into a single Excel document with
several sheets (one for each codebook).
Usage
codebook(object, coding, ..., file = NULL)
# S3 method for class 'codebook'
print(x, ...)
codebooks(..., file = NULL)
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")
- ...
Additional arguments for each function:
codebook()
: arguments passed tosummary.classcodes()
codebooks()
: multiple named outputs fromcodebook()
print.codebook()
: arguments passed totibble:::print.tbl()
- file
name/path to Excel file for data export
- x
output from
codebook()
Value
Functions are primarily called for their side effects (exporting data to Excel or printing to screen). In addition:
codebook()
returns list of data frames describing relationship between groups and individual codescodebooks()
returns a concatenated list with output fromcodebook()
. Only one 'README' object is kept however and renamed as such.print.codebook()
returnsx
(invisible)
See also
Other classcodes:
all_classcodes()
,
as.data.frame.classified()
,
classcodes
,
print.classcodes()
,
print.classified()
,
set_classcodes()
,
summary.classcodes()
,
visualize.classcodes()
Examples
# codebook() --------------------------------------------------------------
if (FALSE) { # \dontrun{
# Export codebook (to temporary file) with all codes identified by the
# Elixhauser comorbidity classification based on ICD-10-CM
codebook(elixhauser, "icd10cm", file = tempfile("codebook", fileext = ".xlsx"))
# All codes from ICD-9-CM Disease part used by Elixhauser enhanced version
codebook(elixhauser, "icd9cmd",
cc_args = list(regex = "icd9cm_enhanced",
file = tempfile("codebook", fileext = ".xlsx"))
)
# The codebook returns a list with three objects.
# Access a dictionary table with translates of each code to text:
codebook(charlson, "icd10cm")$all_codes
# print.codebook() --------------------------------------------------------
# If argument `file` is unspecified, a preview of each sheet of the codebook is
# printed to the screen
(cb <- codebook(charlson, "icd10cm"))
# The preview can be modified by arguments to the print-method
print(cb, n = 20)
# codebooks() -------------------------------------------------------------
# Combine codebooks based on different versions of the regular expressions
# and export to a single (temporary) Excel file
c1 <- codebook(elixhauser, "icd10cm")
c2 <- codebook(elixhauser, "icd9cmd",
cc_args = list(regex = "icd9cm_enhanced")
)
codebooks(
elix_icd10 = c1, elix_icd9cm = c2,
file = tempfile("codebooks", fileext = ".xlsx")
)
} # }