# ----------------------------------------------------------------------------- # R programming statements for h229D 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 (h229D.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 'h229D'. # # 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 h229D.dat file.) # # meps_path <- "C:/MEPS/h229D.dat" # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h229D/h229Dru.txt") # head(h229D) # 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 h229D 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/h229Ddat.zip" # download.file(url, temp <- tempfile()) # # meps_path <- unzip(temp, exdir = tempdir()) # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h229D/h229Dru.txt") # # unlink(temp) # Unlink to delete temporary file # # head(h229D) # view data # # ----------------------------------------------------------------------------- # DEFINE 'meps_path' ----------------------------------------------------------- # 'meps_path' should point to the file path of the ASCII file (h229D.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/h229D.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, 54, 66, 68, 69, 73, 75, 79, 81, 84, 85, 87, 90, 92, 94, 96, 105, 115, 123, 132, 140, 149, 158, 166, 173, 181, 189, 197, 206, 216, 223, 232, 240, 248, 255, 262, 266, 273, 280, 287, 296, 305, 306, 318, 322) pos_end <- c( 7, 10, 20, 36, 37, 53, 65, 67, 68, 72, 74, 78, 80, 83, 84, 86, 89, 91, 93, 95, 104, 114, 122, 131, 139, 148, 157, 165, 172, 180, 188, 196, 205, 215, 222, 231, 239, 247, 254, 261, 265, 272, 279, 286, 295, 304, 305, 317, 321, 322) var_names <- c( "DUID", "PID", "DUPERSID", "EVNTIDX", "EVENTRN", "ERHEVIDX", "FFEEIDX", "PANEL", "MPCDATA", "IPBEGYR", "IPBEGMM", "IPENDYR", "IPENDMM", "NUMNIGHX", "EMERROOM", "SPECCOND", "RSNINHOS", "ANYOPER", "DSCHPMED", "FFIPTYPE", "IPXP21X", "IPTC21X", "IPFSF21X", "IPFMR21X", "IPFMD21X", "IPFPV21X", "IPFVA21X", "IPFTR21X", "IPFOF21X", "IPFSL21X", "IPFWC21X", "IPFOT21X", "IPFXP21X", "IPFTC21X", "IPDSF21X", "IPDMR21X", "IPDMD21X", "IPDPV21X", "IPDVA21X", "IPDTR21X", "IPDOF21X", "IPDSL21X", "IPDWC21X", "IPDOT21X", "IPDXP21X", "IPDTC21X", "IMPFLAG", "PERWT21F", "VARSTR", "VARPSU") var_types <- c( "n", "n", "c", "c", "n", "c", "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", "n", "n", "n", "n") var_types <- setNames(var_types, var_names) # IMPORT ASCII file ----------------------- h229D <- 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(h229D, file ="h229D.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 'h229D'. # You must run the 'save' command to permanently save the data to a local # folder # -----------------------------------------------------------------------------