get_data: get_data: Pull data from CDC Wonder using wonderpy and put it...

In tlcaputi/wondeR: Pull, visualize, and analyze data from CDC Wonder Web Form

Description

get_data: Pull data from CDC Wonder using wonderpy and put it into a good format

Usage

get_data(
  ROOTPATH = "",
  MCD1 = c(),
  MCD2 = c(NA),
  RUNNAME = "",
  replace = T,
  by_vars = c("sex", "race", "hispanic"),
  pypath = "/path/to/python.exe"
)

Arguments

ROOTPATH	path to directory that includes an "input" and "output" folder
MCD1	ICD10 codes
MCD2	ICD10 codes that must ALSO be included in the MCD
RUNNAME	Name for the data you will pull
replace	Default True, if False or if the data file does not exist it will pull data
by_vars	Segment the data by sex, race, hispanic, and/or state. Year is always included.
pypath	Defaults to where python in CMD. You can also set the path to your Python 3 EXE file

Examples

df <- get_data(
  ROOTPATH = "C:/Users/tcapu/Desktop/wonderdd",
  MCD1 = c("X40","X41","X42","X43","X44","X60","X61","X62","X63","X64","Y10","Y11","Y12","Y13","Y14"),
  MCD2 = c("T40.2","T40.3","T40.4"),
  RUNNAME = "year_state_sex_race_opioids",
  replace = T,
  by_vars = c("race", "hispanic"),
  pypath = T
)

tlcaputi/wondeR documentation built on April 10, 2020, 3:53 p.m.