# ----------------------------------------------------------------------------- # R programming statements for h238 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 (h238.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 'h238'. # # 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 h238.dat file.) # # meps_path <- "C:/MEPS/h238.dat" # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h238/h238ru.txt") # head(h238) # 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 h238 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/h238dat.zip" # download.file(url, temp <- tempfile()) # # meps_path <- unzip(temp, exdir = tempdir()) # source("https://meps.ahrq.gov/mepsweb/data_stats/download_data/pufs/h238/h238ru.txt") # # unlink(temp) # Unlink to delete temporary file # # head(h238) # view data # # ----------------------------------------------------------------------------- # DEFINE 'meps_path' ----------------------------------------------------------- # 'meps_path' should point to the file path of the ASCII file (h238.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/h238.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, 23, 27, 29, 31, 33, 35, 37, 39, 41, 43, 46, 48, 50, 52, 54, 56, 58, 60, 61, 63, 65, 67, 69, 71, 73, 75, 76, 78, 80, 82, 84, 87, 90, 93, 96, 97, 98, 99, 100, 102, 104, 106, 107, 109, 111, 113, 115, 117, 121, 123, 127, 129, 133, 135, 139, 141, 145, 147, 151, 153, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 196, 197, 198, 200, 201, 202, 203, 204, 205, 206, 208, 210, 212, 214, 217, 220, 223, 226, 229, 232, 235, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 315, 317, 319, 321, 323, 325, 327, 329, 331, 333, 335, 337, 339, 341, 343, 345, 347, 349, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 393, 397, 399, 401, 403, 405, 407, 409, 411, 413, 415, 417, 419, 421, 423, 425, 427, 429, 431, 433, 435, 437, 439, 441, 443, 445, 447, 449, 451, 453, 455, 457, 459, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 505, 507, 509, 511, 513, 515, 517, 519, 521, 523, 525, 527, 529, 531, 533, 535, 537, 539, 541, 543, 545, 547, 549, 551, 553, 555, 558, 561, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 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1424, 1426, 1428, 1430, 1432, 1434, 1436, 1438, 1440, 1442, 1444, 1446, 1448, 1450, 1452, 1454, 1456, 1458, 1460, 1462, 1464, 1466, 1468, 1470, 1472, 1474, 1476, 1478, 1480, 1482, 1484, 1486, 1488, 1490, 1492, 1494, 1496, 1498, 1500, 1502, 1504, 1506, 1508, 1510, 1512, 1514, 1516, 1518, 1520, 1522, 1524, 1526, 1528, 1530, 1532, 1534, 1536, 1538, 1540, 1542, 1544, 1546, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1561, 1563, 1565, 1567, 1569, 1571, 1574, 1577, 1580, 1583, 1586, 1589, 1592, 1595, 1598, 1601, 1604, 1607, 1610, 1613, 1616, 1619, 1622, 1625, 1628, 1630, 1633, 1640, 1642, 1644, 1646, 1648, 1650, 1652, 1654, 1656, 1658, 1660, 1662, 1664, 1666, 1668, 1670, 1672, 1674, 1676, 1678, 1680, 1682, 1684, 1686, 1688, 1690, 1692, 1694, 1696, 1698, 1700, 1702, 1704, 1706, 1708, 1710, 1712, 1714, 1716, 1718, 1720, 1722, 1724, 1726, 1728, 1730, 1732, 1734, 1736, 1738, 1740, 1742, 1744, 1746, 1748, 1750, 1752, 1754, 1756, 1758, 1760, 1762, 1764, 1766, 1768, 1770, 1772, 1774, 1776, 1778, 1780, 1782, 1784, 1786, 1788, 1790, 1792, 1794, 1796, 1798, 1800, 1802, 1804, 1806, 1808, 1810, 1812, 1814, 1816, 1818, 1820, 1822, 1824, 1826, 1828, 1830, 1832, 1834, 1836, 1838, 1840, 1842, 1844, 1846, 1848, 1850, 1852, 1854, 1856, 1858, 1860, 1862, 1864, 1866, 1868, 1870, 1872, 1874, 1876, 1878, 1880, 1882, 1884, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1914, 1916, 1918, 1920, 1922, 1925, 1928, 1931, 1944, 1948) pos_end <- c( 7, 10, 20, 22, 26, 28, 30, 32, 34, 36, 38, 40, 42, 45, 47, 49, 51, 53, 55, 57, 59, 60, 62, 64, 66, 68, 70, 72, 74, 75, 77, 79, 81, 83, 86, 89, 92, 95, 96, 97, 98, 99, 101, 103, 105, 106, 108, 110, 112, 114, 116, 120, 122, 126, 128, 132, 134, 138, 140, 144, 146, 150, 152, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 171, 173, 175, 177, 179, 181, 183, 185, 187, 189, 191, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 207, 209, 211, 213, 216, 219, 222, 225, 228, 231, 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1459, 1461, 1463, 1465, 1467, 1469, 1471, 1473, 1475, 1477, 1479, 1481, 1483, 1485, 1487, 1489, 1491, 1493, 1495, 1497, 1499, 1501, 1503, 1505, 1507, 1509, 1511, 1513, 1515, 1517, 1519, 1521, 1523, 1525, 1527, 1529, 1531, 1533, 1535, 1537, 1539, 1541, 1543, 1545, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1560, 1562, 1564, 1566, 1568, 1570, 1573, 1576, 1579, 1582, 1585, 1588, 1591, 1594, 1597, 1600, 1603, 1606, 1609, 1612, 1615, 1618, 1621, 1624, 1627, 1629, 1632, 1639, 1641, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1667, 1669, 1671, 1673, 1675, 1677, 1679, 1681, 1683, 1685, 1687, 1689, 1691, 1693, 1695, 1697, 1699, 1701, 1703, 1705, 1707, 1709, 1711, 1713, 1715, 1717, 1719, 1721, 1723, 1725, 1727, 1729, 1731, 1733, 1735, 1737, 1739, 1741, 1743, 1745, 1747, 1749, 1751, 1753, 1755, 1757, 1759, 1761, 1763, 1765, 1767, 1769, 1771, 1773, 1775, 1777, 1779, 1781, 1783, 1785, 1787, 1789, 1791, 1793, 1795, 1797, 1799, 1801, 1803, 1805, 1807, 1809, 1811, 1813, 1815, 1817, 1819, 1821, 1823, 1825, 1827, 1829, 1831, 1833, 1835, 1837, 1839, 1841, 1843, 1845, 1847, 1849, 1851, 1853, 1855, 1857, 1859, 1861, 1863, 1865, 1867, 1869, 1871, 1873, 1875, 1877, 1879, 1881, 1883, 1885, 1887, 1889, 1891, 1893, 1895, 1897, 1899, 1901, 1903, 1905, 1907, 1909, 1911, 1913, 1915, 1917, 1919, 1921, 1924, 1927, 1930, 1943, 1947, 1948) var_names <- c( "DUID", "PID", "DUPERSID", "PANEL", "DATAYEAR", "FAMID31", "FAMID42", "FAMID53", "FAMID22", "FAMIDYR", "RULETR31", "RULETR42", "RULETR53", "RULETR22", "RUSIZE31", "RUSIZE42", "RUSIZE53", "RUSIZE22", "RUCLAS31", "RUCLAS42", "RUCLAS53", "RUCLAS22", "FAMSZE31", "FAMSZE42", "FAMSZE53", "FAMSZE22", "FMRS1231", "FAMS1231", "FAMSZEYR", "FAMRFPYR", "REGION31", "REGION42", "REGION53", "REGION22", "REFPRS31", "REFPRS42", "REFPRS53", "REFPRS22", "RESP31", "RESP42", "RESP53", "RESP22", "PROXY31", "PROXY42", "PROXY53", "PROXY22", "INTVLANG", "INTVTYPE31", "INTVTYPE42", "INTVTYPE53", "BEGRFM31", "BEGRFY31", "ENDRFM31", "ENDRFY31", "BEGRFM42", "BEGRFY42", "ENDRFM42", "ENDRFY42", "BEGRFM53", "BEGRFY53", "ENDRFM53", "ENDRFY53", "ENDRFM22", "ENDRFY22", "KEYNESS", "INSCOP31", "INSCOP42", "INSCOP53", "INSCOP22", "INSC1231", "INSCOPE", "ELGRND31", "ELGRND42", "ELGRND53", "ELGRND22", "PSTATS31", "PSTATS42", "PSTATS53", "RURSLT31", "RURSLT42", "RURSLT53", "AGE31X", "AGE42X", "AGE53X", "AGE22X", "AGELAST", "DOBMM", "DOBYY", "SEX", "RACEV1X", "RACEV2X", "RACEAX", "RACEBX", "RACEWX", "RACETHX", "HISPANX", "HISPNCAT", "MARRY31X", "MARRY42X", "MARRY53X", "MARRY22X", "SPOUID31", "SPOUID42", "SPOUID53", "SPOUID22", "SPOUIN31", "SPOUIN42", "SPOUIN53", "SPOUIN22", "EDUCYR", "HIDEG", "FTSTU31X", "FTSTU42X", "FTSTU53X", "FTSTU22X", "ACTDTY31", "ACTDTY42", "ACTDTY53", "REFRL31X", "REFRL42X", "REFRL53X", "REFRL22X", "OTHLGSPK", "WHTLGSPK", "HWELLSPK", "BORNUSA", "YRSINUS", "HIBPDX", "HIBPAGED", "BPMLDX", "CHDDX", "CHDAGED", "ANGIDX", "ANGIAGED", "MIDX", "MIAGED", "OHRTDX", "OHRTAGED", "OHRTTYPE", "STRKDX", "STRKAGED", "EMPHDX", "EMPHAGED", "CHBRON31", "CHOLDX", "CHOLAGED", "CANCERDX", "CABLADDR", "CABREAST", "CACERVIX", "CACOLON", "CALUNG", "CALYMPH", "CAMELANO", "CAOTHER", "CAPROSTA", "CASKINNM", "CASKINDK", "CAUTERUS", "DIABDX_M18", "DIABAGED", "JTPAIN31_M18", "ARTHDX", "ARTHTYPE", "ARTHAGED", "ASTHDX", "ASTHAGED", "ASSTIL31", "ASATAK31", "ASTHEP31", "ASACUT31", "ASMRCN31", "ASPREV31", "ASDALY31", "ASPKFL31", "ASEVFL31", "ASWNFL31", "ADHDADDX", "ADHDAGED", "COVIDEVER53", "LCEVER53", "COVSYMNOW53", "COVREDABIL53", "COVID12MO53", "COVMNTHX53", "COVYRDX53", "RTHLTH31", "RTHLTH42", "RTHLTH53", "MNHLTH31", "MNHLTH42", "MNHLTH53", "IADLHP31", "ADLHLP31", "AIDHLP31", "WLKLIM31", "LFTDIF31", "STPDIF31", "WLKDIF31", "MILDIF31", "STNDIF31", "BENDIF31", "RCHDIF31", "FNGRDF31", "ACTLIM31", "WRKLIM31", "HSELIM31", "SCHLIM31", "UNABLE31", "SOCLIM31", "COGLIM31", "DFHEAR42", "DFSEE42", "DFCOG42", "DFWLKC42", "DFDRSB42", "DFERND42", "ANYLMI22", "CHPMED42", "CHPMHB42", "CHPMCN42", "CHSERV42", "CHSRHB42", "CHSRCN42", "CHLIMI42", "CHLIHB42", "CHLICO42", "CHTHER42", "CHTHHB42", "CHTHCO42", "CHCOUN42", "CHEMPB42", "CSHCN42", "MESHGT42", "WHNHGT42", "MESWGT42", "WHNWGT42", "CHBMIX42", "MESVIS42", "EATHLT42", "WHNEAT42", "PHYSCL42", "WHNPHY42", "SAFEST42", "WHNSAF42", "BOOST42", "WHNBST42", "LAPBLT42", "WHNLAP42", "HELMET42", "WHNHEL42", "NOSMOK42", "WHNSMK42", "TIMALN42", "LSTETH53", "PHYEXE53", "OFTSMK53", "COVAXEVR31", "COVAXEVR42", "COVAXEVR53", "BOOSTERSHOT31", "BOOSTERSHOT42", "COVAXNEW53", "DDNWRK22", "OTHDYS22", "OTHNDD22", "ACCELI42", "HAVEUS42", "PRACTP42", "YNOUSC42_M18", "PROVTY42_M18", "PLCTYP42", "TMTKUS42", "TYPEPE42", "LOCATN42", "HSPLAP42", "WHITPR42", "BLCKPR42", "ASIANP42", "NATAMP42", "PACISP42", "OTHRCP42", "GENDRP42", "PHNREG42", "OFFHOU42", "AFTHOU42", "TREATM42", "DECIDE42", "EXPLOP42", "PRVSPK42", "DLAYCA42", "AFRDCA42", "DLAYDN42", "AFRDDN42", "DLAYPM42", "AFRDPM42", "EMPST31", "EMPST42", "EMPST53", "RNDFLG31", "MORJOB31", "MORJOB42", "MORJOB53", "EVRWRK", "HRWG31X", "HRWG42X", "HRWG53X", "HRWGIM31", "HRWGIM42", "HRWGIM53", "HRHOW31", "HRHOW42", "HRHOW53", "DIFFWG31", "DIFFWG42", "DIFFWG53", "NHRWG31", "NHRWG42", "NHRWG53", "HOUR31", "HOUR42", "HOUR53", "TEMPJB31", "TEMPJB42", "TEMPJB53", "SSNLJB31", "SSNLJB42", "SSNLJB53", "SELFCM31", "SELFCM42", "SELFCM53", "DISVW31X", "DISVW42X", "DISVW53X", "CHOIC31", "CHOIC42", "CHOIC53", "INDCAT31", "INDCAT42", "INDCAT53", "NUMEMP31", "NUMEMP42", "NUMEMP53", "MORE31", "MORE42", "MORE53", "UNION31", "UNION42", "UNION53", "NWK31", "NWK42", "NWK53", "CHGJ3142", "CHGJ4253", "YCHJ3142", "YCHJ4253", "STJBMM31", "STJBYY31", "STJBMM42", "STJBYY42", "STJBMM53", "STJBYY53", "EVRETIRE", "OCCCAT31", "OCCCAT42", "OCCCAT53", "PAYVAC31", "PAYVAC42", "PAYVAC53", "SICPAY31", "SICPAY42", "SICPAY53", "PAYDR31", "PAYDR42", "PAYDR53", "RETPLN31", "RETPLN42", "RETPLN53", "BSNTY31", "BSNTY42", "BSNTY53", "JOBORG31", "JOBORG42", "JOBORG53", "HELD31X", "HELD42X", "HELD53X", "OFFER31X", "OFFER42X", "OFFER53X", "OFREMP31", "OFREMP42", "OFREMP53", "TRIJA22X", "TRIFE22X", "TRIMA22X", "TRIAP22X", "TRIMY22X", "TRIJU22X", "TRIJL22X", "TRIAU22X", "TRISE22X", "TRIOC22X", "TRINO22X", "TRIDE22X", "MCRJA22", "MCRFE22", "MCRMA22", "MCRAP22", "MCRMY22", "MCRJU22", "MCRJL22", "MCRAU22", "MCRSE22", "MCROC22", "MCRNO22", "MCRDE22", "MCRJA22X", "MCRFE22X", "MCRMA22X", "MCRAP22X", "MCRMY22X", "MCRJU22X", "MCRJL22X", "MCRAU22X", "MCRSE22X", "MCROC22X", "MCRNO22X", "MCRDE22X", "MCDJA22", "MCDFE22", "MCDMA22", "MCDAP22", "MCDMY22", "MCDJU22", "MCDJL22", "MCDAU22", "MCDSE22", "MCDOC22", "MCDNO22", "MCDDE22", "MCDJA22X", "MCDFE22X", "MCDMA22X", "MCDAP22X", "MCDMY22X", "MCDJU22X", "MCDJL22X", "MCDAU22X", "MCDSE22X", "MCDOC22X", "MCDNO22X", "MCDDE22X", "GVAJA22", "GVAFE22", "GVAMA22", "GVAAP22", "GVAMY22", "GVAJU22", "GVAJL22", "GVAAU22", "GVASE22", "GVAOC22", "GVANO22", "GVADE22", "GVBJA22", "GVBFE22", "GVBMA22", "GVBAP22", "GVBMY22", "GVBJU22", "GVBJL22", "GVBAU22", "GVBSE22", "GVBOC22", "GVBNO22", "GVBDE22", "GVCJA22", "GVCFE22", "GVCMA22", "GVCAP22", "GVCMY22", "GVCJU22", "GVCJL22", "GVCAU22", "GVCSE22", "GVCOC22", "GVCNO22", "GVCDE22", "VAPJA22", "VAPFE22", "VAPMA22", "VAPAP22", "VAPMY22", "VAPJU22", "VAPJL22", "VAPAU22", "VAPSE22", "VAPOC22", "VAPNO22", "VAPDE22", "IHSJA22", "IHSFE22", "IHSMA22", "IHSAP22", "IHSMY22", "IHSJU22", "IHSJL22", "IHSAU22", "IHSSE22", "IHSOC22", "IHSNO22", "IHSDE22", "PUBJA22X", "PUBFE22X", "PUBMA22X", "PUBAP22X", "PUBMY22X", "PUBJU22X", "PUBJL22X", "PUBAU22X", "PUBSE22X", "PUBOC22X", "PUBNO22X", "PUBDE22X", "PEGJA22", "PEGFE22", "PEGMA22", "PEGAP22", "PEGMY22", "PEGJU22", "PEGJL22", "PEGAU22", "PEGSE22", "PEGOC22", "PEGNO22", "PEGDE22", "PDKJA22", "PDKFE22", "PDKMA22", "PDKAP22", "PDKMY22", "PDKJU22", "PDKJL22", "PDKAU22", "PDKSE22", "PDKOC22", "PDKNO22", "PDKDE22", "PNGJA22", "PNGFE22", "PNGMA22", "PNGAP22", "PNGMY22", "PNGJU22", "PNGJL22", "PNGAU22", "PNGSE22", "PNGOC22", "PNGNO22", "PNGDE22", "POGJA22", "POGFE22", "POGMA22", "POGAP22", "POGMY22", "POGJU22", "POGJL22", "POGAU22", "POGSE22", "POGOC22", "POGNO22", "POGDE22", "POEJA22", "POEFE22", "POEMA22", "POEAP22", "POEMY22", "POEJU22", "POEJL22", "POEAU22", "POESE22", "POEOC22", "POENO22", "POEDE22", "PNEJA22", "PNEFE22", "PNEMA22", "PNEAP22", "PNEMY22", "PNEJU22", "PNEJL22", "PNEAU22", "PNESE22", "PNEOC22", "PNENO22", "PNEDE22", "PRXJA22", "PRXFE22", "PRXMA22", "PRXAP22", "PRXMY22", "PRXJU22", "PRXJL22", "PRXAU22", "PRXSE22", "PRXOC22", "PRXNO22", "PRXDE22", "PRIJA22", "PRIFE22", "PRIMA22", "PRIAP22", "PRIMY22", "PRIJU22", "PRIJL22", "PRIAU22", "PRISE22", "PRIOC22", "PRINO22", "PRIDE22", "HPEJA22", "HPEFE22", "HPEMA22", "HPEAP22", "HPEMY22", "HPEJU22", "HPEJL22", "HPEAU22", "HPESE22", "HPEOC22", "HPENO22", "HPEDE22", "HPDJA22", "HPDFE22", "HPDMA22", "HPDAP22", "HPDMY22", "HPDJU22", "HPDJL22", "HPDAU22", "HPDSE22", "HPDOC22", "HPDNO22", "HPDDE22", "HPNJA22", "HPNFE22", "HPNMA22", "HPNAP22", "HPNMY22", "HPNJU22", "HPNJL22", "HPNAU22", "HPNSE22", "HPNOC22", "HPNNO22", "HPNDE22", "HPOJA22", "HPOFE22", "HPOMA22", "HPOAP22", "HPOMY22", "HPOJU22", "HPOJL22", "HPOAU22", "HPOSE22", "HPOOC22", "HPONO22", "HPODE22", "HPXJA22", "HPXFE22", "HPXMA22", "HPXAP22", "HPXMY22", "HPXJU22", "HPXJL22", "HPXAU22", "HPXSE22", "HPXOC22", "HPXNO22", "HPXDE22", "HPRJA22", "HPRFE22", "HPRMA22", "HPRAP22", "HPRMY22", "HPRJU22", "HPRJL22", "HPRAU22", "HPRSE22", "HPROC22", "HPRNO22", "HPRDE22", "INSJA22X", "INSFE22X", "INSMA22X", "INSAP22X", "INSMY22X", "INSJU22X", "INSJL22X", "INSAU22X", "INSSE22X", "INSOC22X", "INSNO22X", "INSDE22X", "PRVEV22", "TRIEV22", "MCREV22", "MCDEV22", "VAEV22", "GVAEV22", "GVBEV22", "GVCEV22", "UNINS22", "INSCOV22", "INSURC22", "TRICH31X", "TRICH42X", "TRICH22X", "TRI31X", "TRI42X", "TRI22X", "MCRPD31", "MCRPD42", "MCRPD22", "MCRPD31X", "MCRPD42X", "MCRPD22X", "MCRPHO31", "MCRPHO42", "MCRPHO22", "MCRPHD22", "MCDHMO31", "MCDHMO42", "MCDHMO22", "MCDMC31", "MCDMC42", "MCDMC22", "PRVHMO31", "PRVHMO42", "PRVHMO22", "FSAGT31", "HASFSA31", "PFSAMT31", "PREVCOVR", "MORECOVR", "TRICR31X", "TRICR42X", "TRICR53X", "TRICR22X", "TRIAT31X", "TRIAT42X", "TRIAT53X", "TRIAT22X", "MCAID31", "MCAID42", "MCAID53", "MCAID22", "MCAID31X", "MCAID42X", "MCAID53X", "MCAID22X", "MCARE31", "MCARE42", "MCARE53", "MCARE22", "MCARE31X", "MCARE42X", "MCARE53X", "MCARE22X", "MCDAT31X", "MCDAT42X", "MCDAT53X", "MCDAT22X", "GOVTA31", "GOVTA42", "GOVTA53", "GOVTA22", "GOVAAT31", "GOVAAT42", "GOVAAT53", "GOVAAT22", "GOVTB31", "GOVTB42", "GOVTB53", "GOVTB22", "GOVBAT31", "GOVBAT42", "GOVBAT53", "GOVBAT22", "GOVTC31", "GOVTC42", "GOVTC53", "GOVTC22", "GOVCAT31", "GOVCAT42", "GOVCAT53", "GOVCAT22", "VAPROG31", "VAPROG42", "VAPROG53", "VAPROG22", "VAPRAT31", "VAPRAT42", "VAPRAT53", "VAPRAT22", "IHS31", "IHS42", "IHS53", "IHS22", "IHSAT31", "IHSAT42", "IHSAT53", "IHSAT22", "PRIDK31", "PRIDK42", "PRIDK53", "PRIDK22", "PRIEU31", "PRIEU42", "PRIEU53", "PRIEU22", "PRING31", "PRING42", "PRING53", "PRING22", "PRIOG31", "PRIOG42", "PRIOG53", "PRIOG22", "PRINEO31", "PRINEO42", "PRINEO53", "PRINEO22", "PRIEUO31", "PRIEUO42", "PRIEUO53", "PRIEUO22", "PRSTX31", "PRSTX42", "PRSTX53", "PRSTX22", "PRIV31", "PRIV42", "PRIV53", "PRIV22", "PRIVAT31", "PRIVAT42", "PRIVAT53", "PRIVAT22", "PUB31X", "PUB42X", "PUB53X", "PUB22X", "PUBAT31X", "PUBAT42X", "PUBAT53X", "PUBAT22X", "VERFLG31", "VERFLG42", "VERFLG22", "INS31X", "INS42X", "INS53X", "INS22X", "INSAT31X", "INSAT42X", "INSAT53X", "INSAT22X", "DENTIN31", "DENTIN42", "DENTIN53_M23", "DNTINS31", "DNTINS22_M23", "PMEDIN31", "PMEDIN42", "PMEDIN53", "PMDINS31", "PMDINS22", "PROBPY42", "CRFMPY42", "PYUNBL42", "PMEDUP31", "PMEDUP42", "PMEDUP53", "PMEDPY31", "PMEDPY42", "PMEDPY53", "PERWT22P", "VARSTR", "VARPSU") var_types <- c( "n", "n", "c", "n", "n", "c", "c", "c", "c", "c", "c", "c", "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", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "n", "c", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "n", "n") var_types <- setNames(var_types, var_names) # IMPORT ASCII file ----------------------- h238 <- 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(h238, file ="h238.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 'h238'. # You must run the 'save' command to permanently save the data to a local # folder # -----------------------------------------------------------------------------