prepare_data {multimorbidity} | R Documentation |
Prepare our claims data for analysis
Description
prepare_data
returns a dataset which has been transformed and prepared for subsequent functions in this
package.
Usage
prepare_data(
dat = NULL,
style = "long",
id = NULL,
prefix_dx = "dx",
hcpcs = "no",
prefix_hcpcs,
version_var,
type_name,
date
)
Arguments
dat |
dataset |
style |
long, the default, is one diagnosis column per row whereas wide is multiple diagnosis columns |
id |
unique patient identifier variable name |
prefix_dx |
the variable prefix for the diagnosis columns (defaults to "dx"), in quotes |
hcpcs |
whether or not HCPCS variables are included ("yes" or "no", where "no" is the default) |
prefix_hcpcs |
if HCPCS are included, the variable prefix in quotes |
version_var |
variable which denotes if the diagnoses on that row are ICD-9 (9) or ICD-10 (10) |
type_name |
variable to denote if the claim is inpatient (ip) or outpatient (ot) |
date |
variable with the date of the claim |
Details
This function takes our raw claims data, in a number of different forms, and prepares it in a way which allows the other functions in this package to easily work with it. It is recommended to run this package on all data regardless of setup.
Value
dataframe with multiple rows per patient, which has re-structured their claims
Examples
prepare_data(dat = i9_i10_comb, id = patient_id, style = "wide",
prefix_dx = "dx", hcpcs = "yes", prefix_hcpcs = "hcpcs", version_var = icd_version,
type_name = visit_type, date = date_of_serv)