husbands_wives <- structure(list(age_husband = c(49L, 25L, 40L, 52L, 58L, 32L, 43L, 42L, 47L, 31L, 26L, 40L, 35L, 45L, 35L, 35L, 47L, 38L, 33L, 32L, 38L, 45L, 29L, 59L, 26L, 50L, 49L, 42L, 33L, 31L, 27L, 57L, 34L, 28L, 46L, 37L, 56L, 27L, 36L, 31L, 57L, 55L, 47L, 64L, 60L, 31L, 35L, 36L, 40L, 30L, 32L, 27L, 20L, 45L, 59L, 43L, 29L, 48L, 39L, 47L, 54L, 43L, 54L, 61L, 27L, 51L, 27L, 32L, 54L, 37L, 55L, 36L, 32L, 57L, 51L, 62L, 57L, 51L, 50L, 32L, 54L, 34L, 45L, 64L, 55L, 27L, 55L, 27L, 41L, 44L, 22L, 30L, 53L, 42L, 31L, 36L, 56L, 46L, 34L, 55L, 44L, 45L, 48L, 44L, 59L, 64L, 34L, 37L, 54L, 49L, 63L, 48L, 64L, 33L, 52L, 27L, 33L, 46L, 54L, 27L, 50L, 42L, 54L, 49L, 62L, 34L, 23L, 36L, 53L, 32L, 59L, 53L, 55L, 62L, 42L, 50L, 37L, 51L, 25L, 54L, 34L, 43L, 43L, 58L, 28L, 45L, 47L, 57L, 27L, 34L, 57L, 27L, 54L, 24L, 48L, 37L, 25L, 57L, 40L, 61L, 25L, 32L, 37L, 45L, 24L, 47L, 44L, 52L, 45L, 20L, 60L, 36L, 25L, 25L, 35L, 35L, 49L, 33L, 50L, 63L, 57L, 41L, 38L, 30L, 52L, 51L, 46L, 50L, 32L, 52L, 30L, 33L, 20L, 32L, 51L, 64L, 44L, 40L, 59L), age_wife = c(43L, 28L, 30L, 57L, 52L, 27L, 52L, NA, 43L, 23L, 25L, 39L, 32L, NA, 35L, 33L, 43L, 35L, 32L, 30L, 40L, NA, 29L, 55L, 25L, 45L, 44L, 40L, 31L, NA, 25L, 51L, 31L, 25L, NA, 35L, 55L, 23L, 35L, 28L, 52L, 53L, 43L, 61L, NA, 23L, 35L, 35L, 39L, 24L, 29L, NA, 21L, 39L, 52L, 52L, 26L, NA, NA, 48L, 53L, 42L, 50L, 64L, 26L, NA, 32L, 31L, 53L, 39L, 45L, 33L, 32L, 55L, NA, NA, NA, 52L, 50L, 32L, 54L, 32L, 41L, 61L, 43L, 28L, 51L, NA, 41L, 41L, 21L, 28L, 47L, 37L, 28L, 35L, 55L, 45L, 34L, 51L, 39L, 35L, 45L, 44L, 47L, 57L, 33L, 38L, 59L, 46L, 60L, 47L, 55L, 45L, 47L, 24L, 32L, 47L, 57L, NA, NA, NA, 46L, 42L, 63L, 32L, 24L, 32L, NA, NA, 56L, 50L, 55L, 58L, 38L, 44L, 35L, 44L, 25L, 43L, 31L, 35L, 41L, 50L, 23L, 43L, 49L, 59L, NA, 38L, 42L, 21L, NA, NA, 42L, 35L, 26L, 57L, 34L, 63L, 23L, NA, NA, NA, 23L, 46L, 40L, 53L, 40L, 22L, 60L, 32L, 24L, 28L, 40L, NA, 48L, 33L, 49L, 64L, 55L, 41L, 38L, 31L, 52L, 43L, 51L, 47L, NA, 32L, 33L, NA, 18L, NA, 45L, 64L, 43L, 39L, 56L), ht_husband = c(1809L, 1841L, 1659L, 1779L, 1616L, 1695L, 1730L, 1753L, 1740L, 1685L, 1735L, 1713L, 1736L, 1715L, 1799L, 1785L, 1758L, 1729L, 1720L, 1810L, 1725L, 1764L, 1683L, 1585L, 1684L, 1674L, 1724L, 1630L, 1855L, 1796L, 1700L, 1765L, 1700L, 1721L, 1823L, 1829L, 1710L, 1745L, 1698L, 1853L, 1610L, 1680L, 1809L, 1580L, 1600L, 1585L, 1705L, 1675L, 1735L, 1686L, 1768L, 1721L, 1754L, 1739L, 1699L, 1825L, 1740L, 1704L, 1719L, 1731L, 1679L, 1755L, 1713L, 1723L, 1783L, 1585L, 1749L, 1710L, 1724L, 1620L, 1764L, 1791L, 1795L, 1738L, 1639L, 1734L, 1695L, 1666L, 1745L, 1775L, 1669L, 1700L, 1804L, 1700L, 1664L, 1753L, 1788L, 1765L, 1680L, 1715L, 1755L, 1764L, 1793L, 1731L, 1713L, 1725L, 1828L, 1735L, 1760L, 1685L, 1685L, 1559L, 1705L, 1723L, 1700L, 1660L, 1681L, 1803L, 1866L, 1884L, 1705L, 1780L, 1801L, 1795L, 1669L, 1708L, 1691L, 1825L, 1760L, 1949L, 1685L, 1806L, 1905L, 1739L, 1736L, 1845L, 1868L, 1765L, 1736L, 1741L, 1720L, 1871L, 1720L, 1629L, 1624L, 1653L, 1786L, 1620L, 1695L, 1674L, 1864L, 1643L, 1705L, 1736L, 1691L, 1753L, 1680L, 1724L, 1710L, 1638L, 1725L, 1725L, 1630L, 1810L, 1774L, 1771L, 1815L, 1575L, 1729L, 1749L, 1705L, 1875L, 1784L, 1584L, 1774L, 1658L, 1790L, 1798L, 1824L, 1796L, 1725L, 1685L, 1769L, 1749L, 1716L, 1664L, 1773L, 1760L, 1725L, 1645L, 1694L, 1851L, 1691L, 1880L, 1835L, 1730L, 1644L, 1723L, 1758L, 1718L, 1723L, 1708L, 1786L, 1764L, 1675L, 1641L, 1743L, 1823L, 1720L), ht_wife = c(1590L, 1560L, 1620L, 1540L, 1420L, 1660L, 1610L, 1635L, 1580L, 1610L, 1590L, 1610L, 1700L, 1522L, 1680L, 1680L, 1630L, 1570L, 1720L, 1740L, 1600L, 1689L, 1600L, 1550L, 1540L, 1640L, 1640L, 1630L, 1560L, 1652L, 1580L, 1570L, 1590L, 1650L, 1591L, 1670L, 1600L, 1610L, 1610L, 1670L, 1510L, 1520L, 1620L, 1530L, 1451L, 1570L, 1580L, 1590L, 1670L, 1630L, 1510L, 1560L, 1660L, 1610L, 1440L, 1570L, 1670L, 1635L, 1670L, 1730L, 1560L, 1590L, 1600L, 1490L, 1660L, 1504L, 1580L, 1500L, 1640L, 1650L, 1620L, 1550L, 1640L, 1560L, 1552L, 1600L, 1545L, 1570L, 1550L, 1600L, 1660L, 1640L, 1670L, 1560L, 1760L, 1640L, 1600L, 1571L, 1550L, 1570L, 1590L, 1650L, 1690L, 1580L, 1590L, 1510L, 1600L, 1660L, 1700L, 1530L, 1490L, 1580L, 1500L, 1600L, 1570L, 1620L, 1410L, 1560L, 1590L, 1710L, 1580L, 1690L, 1610L, 1660L, 1610L, 1590L, 1530L, 1690L, 1600L, 1693L, 1580L, 1636L, 1670L, 1600L, 1570L, 1700L, 1740L, 1540L, 1555L, 1614L, 1530L, 1690L, 1590L, 1610L, 1670L, 1690L, 1550L, 1650L, 1540L, 1660L, 1620L, 1630L, 1610L, 1540L, 1610L, 1630L, 1530L, 1520L, 1544L, 1570L, 1580L, 1550L, 1570L, 1521L, 1580L, 1630L, 1650L, 1640L, 1650L, 1520L, 1620L, 1744L, 1647L, 1615L, 1680L, 1670L, 1620L, 1570L, 1660L, 1550L, 1590L, 1620L, 1560L, 1670L, 1650L, 1539L, 1470L, 1580L, 1670L, 1520L, 1620L, 1710L, 1530L, 1630L, 1720L, 1570L, 1560L, 1650L, 1635L, 1590L, 1590L, 1566L, 1590L, 1662L, 1550L, 1570L, 1560L, 1630L, 1530L), age_husb_at_marriage = c(25L, 19L, 38L, 26L, 30L, 23L, 33L, 30L, 26L, 26L, 23L, 23L, 31L, 41L, 19L, 24L, 24L, 27L, 28L, 22L, 31L, 24L, 25L, 23L, 18L, 25L, 27L, 28L, 22L, 25L, 21L, 32L, 28L, 23L, NA, 22L, 44L, 25L, 22L, 20L, 25L, 21L, 25L, 21L, 26L, 28L, 25L, 22L, 23L, 27L, 21L, 26L, 19L, 25L, 27L, 25L, 24L, 27L, 25L, 21L, NA, 20L, 23L, 26L, 20L, 50L, 24L, 31L, 20L, 21L, 29L, 30L, 25L, 24L, 25L, 33L, 22L, 24L, 22L, 20L, 20L, 22L, 27L, 24L, 31L, 23L, 26L, NA, 22L, 24L, 21L, 29L, 31L, 23L, 28L, 26L, 30L, 22L, 23L, 34L, 27L, 34L, 28L, 41L, 39L, 32L, 22L, 23L, 49L, 25L, 27L, 22L, 37L, 17L, 23L, 26L, 21L, 23L, 23L, 25L, 21L, 22L, 32L, 28L, 22L, 24L, 19L, 27L, 30L, 22L, 24L, 25L, 21L, 23L, 22L, 35L, 21L, 30L, 19L, 35L, 23L, 29L, 22L, 32L, 23L, 21L, 20L, 24L, 20L, 33L, 52L, 24L, 34L, 16L, 30L, 28L, 20L, 20L, 26L, 21L, 24L, 22L, 22L, 29L, 22L, 24L, 24L, 25L, 23L, 19L, 21L, 25L, 18L, 21L, 17L, 22L, 21L, 20L, 23L, 28L, 24L, 23L, 20L, 22L, 30L, 22L, 27L, 25L, 24L, 25L, 22L, 21L, 19L, NA, 25L, 30L, 25L, 23L, 24L), age_wife_at_marriage = c(19L, 22L, 28L, 31L, 24L, 18L, 42L, NA, 22L, 18L, 22L, 22L, 28L, NA, 19L, 22L, 20L, 24L, 27L, 20L, 33L, NA, 25L, 19L, 17L, 20L, 22L, 26L, 20L, NA, 19L, 26L, 25L, 20L, NA, 20L, 43L, 21L, 21L, 17L, 20L, 19L, 21L, 18L, NA, 20L, 25L, 21L, 22L, 21L, 18L, NA, 20L, 19L, 20L, 34L, 21L, NA, NA, 22L, NA, 19L, 19L, 29L, 19L, NA, 29L, 30L, 19L, 23L, 19L, 27L, 25L, 22L, NA, NA, NA, 25L, 22L, 20L, 20L, 20L, 23L, 21L, 19L, 24L, 22L, NA, 22L, 21L, 20L, 27L, 25L, 18L, 25L, 25L, 29L, 21L, 23L, 30L, 22L, 24L, 25L, 41L, 27L, 25L, 21L, 24L, 54L, 22L, 24L, 21L, 28L, 29L, 18L, 23L, 20L, 24L, 26L, NA, NA, NA, 24L, 21L, 23L, 22L, 20L, 23L, NA, NA, 21L, 22L, 21L, 19L, 18L, 29L, 19L, 23L, 19L, 24L, 20L, 21L, 20L, 24L, 18L, 19L, 22L, 26L, NA, 37L, 37L, 18L, NA, NA, 24L, 26L, 21L, 20L, 20L, 23L, 22L, NA, NA, NA, 21L, 23L, 20L, 26L, 18L, 21L, 21L, 21L, 17L, 24L, 22L, NA, 20L, 20L, 22L, 29L, 22L, 23L, 20L, 23L, 30L, 14L, 32L, 22L, NA, 5L, 25L, NA, 17L, NA, 19L, 30L, 24L, 22L, 21L), years_married = c(24L, 6L, 2L, 26L, 28L, 9L, 10L, 12L, 21L, 5L, 3L, 17L, 4L, 4L, 16L, 11L, 23L, 11L, 5L, 10L, 7L, 21L, 4L, 36L, 8L, 25L, 22L, 14L, 11L, 6L, 6L, 25L, 6L, 5L, NA, 15L, 12L, 2L, 14L, 11L, 32L, 34L, 22L, 43L, 34L, 3L, 10L, 14L, 17L, 3L, 11L, 1L, 1L, 20L, 32L, 18L, 5L, 21L, 14L, 26L, NA, 23L, 31L, 35L, 7L, 1L, 3L, 1L, 34L, 16L, 26L, 6L, 7L, 33L, 26L, 29L, 35L, 27L, 28L, 12L, 34L, 12L, 18L, 40L, 24L, 4L, 29L, NA, 19L, 20L, 1L, 1L, 22L, 19L, 3L, 10L, 26L, 24L, 11L, 21L, 17L, 11L, 20L, 3L, 20L, 32L, 12L, 14L, 5L, 24L, 36L, 26L, 27L, 16L, 29L, 1L, 12L, 23L, 31L, 2L, 29L, 20L, 22L, 21L, 40L, 10L, 4L, 9L, 23L, 10L, 35L, 28L, 34L, 39L, 20L, 15L, 16L, 21L, 6L, 19L, 11L, 14L, 21L, 26L, 5L, 24L, 27L, 33L, 7L, 1L, 5L, 3L, 20L, 8L, 18L, 9L, 5L, 37L, 14L, 40L, 1L, 10L, 15L, 16L, 2L, 23L, 20L, 27L, 22L, 1L, 39L, 11L, 7L, 4L, 18L, 13L, 28L, 13L, 27L, 35L, 33L, 18L, 18L, 8L, 22L, 29L, 19L, 25L, 8L, 27L, 8L, 12L, 1L, NA, 26L, 34L, 19L, 17L, 35L)), row.names = c(NA, -199L), class = c("tbl_df", "tbl", "data.frame"))