# -----------------------------------------------------------------------------
# R programming statements for h213G data
#
# This file contains programming statements needed to import the ASCII data
# file (.dat) into R. The R programming language has the capability to produce
# appropriate standard errors for estimates from a survey with a complex sample
# design such as the Medical Expenditure Panel Survey (MEPS).
#
# The input file is the ASCII data file (h213G.dat) supplied in this PUF
# release, which can be extracted from the .zip file supplied at the MEPS
# website: https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp
#
# This code imports the MEPS data into R as a data frame called 'h213G'.
#
# Note that additional packages are needed to successfully run this code. To
# install these packages, run the 'install.packages' function (shown below).
# Once installed, the packages can be called using the 'library' function.
# Packages only need to be installed once, but they must be called using the
# 'library' function every time a new R session is started.
#
# Two options are available to run this code:
#
# 1. Copy and paste the code into an interactive R session.
#
# The user must first download the ASCII (.dat) file from the MEPS website
# and save it to a local directory, which must be defined in the
# 'meps_path' variable below. In this example, the local directory is
# called 'C:/MEPS'. Note that the path structure will differ on Mac and PC.
#
#
# 2. Call this code directly from an interactive R session.
#
# (a) If the ASCII (.dat) file has already been downloaded from the MEPS
# website and saved to a local directory, the following code can be run
# (after re-defining the 'meps_path' variable to point to the location
# of the h213G.dat file.)
#
# meps_path <- "C:/MEPS/h213G.dat"
# source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h213G/h213Gru.txt")
# head(h213G) # view data
#
# (b) Alternatively, the ASCII (.dat) file can be downloaded directly from
# the MEPS website. The following code can be used to download and
# import the h213G data into R without having to manually download,
# unzip, and store the file on your local computer.
#
# url <- "https://meps.ahrq.gov/mepsweb/data_files/pufs/h213Gdat.zip"
# download.file(url, temp <- tempfile())
#
# meps_path <- unzip(temp, exdir = tempdir())
# source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h213G/h213Gru.txt")
#
# unlink(temp) # Unlink to delete temporary file
#
# head(h213G) # view data
#
# -----------------------------------------------------------------------------
# DEFINE 'meps_path' -----------------------------------------------------------
# 'meps_path' should point to the file path of the ASCII file (h213G.dat)
# Here, the 'exists' function checks whether meps_path is already defined. This
# feature is useful if calling this file from an external source.
if(!exists("meps_path")) meps_path = "C:/MEPS/h213G.dat"
# INSTALL PACKAGES ------------------------------------------------------------
# Uncomment and run this portion if packages are not yet installed
#
# install.packages("readr")
# **************************************
# LOAD PACKAGES ---------------------------------------------------------------
# Run this for every new R session
library(readr)
# DATA FILE INFO ------------------------------------------
# Define start and end positions to read fixed-width file
pos_start <- c(
1, 8, 11, 21, 37, 38, 52, 54, 55, 56,
60, 62, 64, 66, 68, 70, 73, 75, 77, 79,
81, 83, 85, 87, 89, 91, 94, 96, 99, 102,
110, 118, 126, 134, 142, 149, 156, 164, 171, 179,
187, 196, 197, 209, 213)
pos_end <- c(
7, 10, 20, 36, 37, 51, 53, 54, 55, 59,
61, 63, 65, 67, 69, 72, 74, 76, 78, 80,
82, 84, 86, 88, 90, 93, 95, 98, 101, 109,
117, 125, 133, 141, 148, 155, 163, 170, 178, 186,
195, 196, 208, 212, 213)
var_names <- c(
"DUID", "PID", "DUPERSID", "EVNTIDX", "EVENTRN", "FFEEIDX", "PANEL", "MPCELIG", "MPCDATA", "OBDATEYR",
"OBDATEMM", "SEEDOC_M18", "DRSPLTY_M18", "MEDPTYPE_M18", "DOCATLOC", "VSTCTGRY", "VSTRELCN_M18", "LABTEST_M18", "SONOGRAM_M18", "XRAYS_M18",
"MAMMOG_M18", "MRI_M18", "EKG_M18", "RCVVAC_M18", "SURGPROC", "MEDPRESC", "FFOBTYPE", "FFBEF19", "FFTOT20", "OBSF19X",
"OBMR19X", "OBMD19X", "OBPV19X", "OBVA19X", "OBTR19X", "OBOF19X", "OBSL19X", "OBWC19X", "OBOT19X", "OBXP19X",
"OBTC19X", "IMPFLAG", "PERWT19F", "VARSTR", "VARPSU")
var_types <- c(
"n", "n", "c", "c", "n", "c", "n", "n", "n", "n",
"n", "n", "n", "n", "n", "n", "n", "n", "n", "n",
"n", "n", "n", "n", "n", "n", "n", "n", "n", "n",
"n", "n", "n", "n", "n", "n", "n", "n", "n", "n",
"n", "n", "n", "n", "n")
var_types <- setNames(var_types, var_names)
# IMPORT ASCII file -----------------------
h213G <- read_fwf(
meps_path,
col_positions =
fwf_positions(
start = pos_start,
end = pos_end,
col_names = var_names),
col_types = var_types)
# OPTIONAL: save as .Rdata file for easier loading ----------------------------
# Run this to save a permanent .Rdata file in the local working directory
#
# save(h213G, file ="h213G.Rdata")
# -----------------------------------------------------------------------------
# NOTES:
#
# 1. This program has been tested on R version 3.6.0
#
# 2. This program will create a temporary data frame in R called 'h213G'.
# You must run the 'save' command to permanently save the data to a local
# folder
# -----------------------------------------------------------------------------