# ----------------------------------------------------------------------------- # R programming statements for h254F 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 (h254F.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 'h254F'. # # 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 h254F.dat file.) # # meps_path <- "C:/MEPS/h254F.dat" # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h254F/h254Fru.txt") # head(h254F) # 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 h254F 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/h254Fdat.zip" # download.file(url, temp <- tempfile()) # # meps_path <- unzip(temp, exdir = tempdir()) # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h254F/h254Fru.txt") # # unlink(temp) # Unlink to delete temporary file # # head(h254F) # view data # # ----------------------------------------------------------------------------- # DEFINE 'meps_path' ----------------------------------------------------------- # 'meps_path' should point to the file path of the ASCII file (h254F.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/h254F.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, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 90, 91, 93, 95, 104, 113, 121, 129, 137, 146, 154, 161, 168, 175, 183, 191, 200, 209, 216, 223, 230, 238, 245, 252, 256, 262, 269, 276, 284, 292, 293, 305, 309) pos_end <- c( 7, 10, 20, 36, 37, 51, 53, 54, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 89, 90, 92, 94, 103, 112, 120, 128, 136, 145, 153, 160, 167, 174, 182, 190, 199, 208, 215, 222, 229, 237, 244, 251, 255, 261, 268, 275, 283, 291, 292, 304, 308, 309) var_names <- c( "DUID", "PID", "DUPERSID", "EVNTIDX", "EVENTRN", "FFEEIDX", "PANEL", "MPCDATA", "OPDATEYR", "OPDATEMM", "SEEDOC_M18", "DRSPLTY_M18", "MEDPTYPE_M18", "VSTCTGRY", "VSTRELCN_M18", "LABTEST_M18", "SONOGRAM_M18", "XRAYS_M18", "MAMMOG_M18", "MRI_M18", "EKG_M18", "RCVVAC_M18", "SURGPROC", "MEDPRESC", "TELEHEALTHFLAG", "VISITTYPE", "FFOPTYPE", "OPXP24X", "OPTC24X", "OPFSF24X", "OPFMR24X", "OPFMD24X", "OPFPV24X", "OPFVA24X", "OPFTR24X", "OPFOF24X", "OPFSL24X", "OPFWC24X", "OPFOT24X", "OPFXP24X", "OPFTC24X", "OPDSF24X", "OPDMR24X", "OPDMD24X", "OPDPV24X", "OPDVA24X", "OPDTR24X", "OPDOF24X", "OPDSL24X", "OPDWC24X", "OPDOT24X", "OPDXP24X", "OPDTC24X", "IMPFLAG", "PERWT24F", "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", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n") var_types <- setNames(var_types, var_names) # IMPORT ASCII file ----------------------- h254F <- 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(h254F, file ="h254F.Rdata") # ----------------------------------------------------------------------------- # NOTES: # # 1. This program has been tested on R version 4.4.0 # # 2. This program will create a temporary data frame in R called 'h254F'. # You must run the 'save' command to permanently save the data to a local # folder # -----------------------------------------------------------------------------