marathon <-
structure(list(year = c(1980L, 1981L, 1982L, 1983L, 1984L, 1985L, 
1986L, 1987L, 1988L, 1989L, 1990L, 1991L, 1992L, 1993L, 1994L, 
1995L, 1996L, 1997L, 1998L, 1999L, 1980L, 1981L, 1982L, 1983L, 
1984L, 1985L, 1986L, 1987L, 1988L, 1989L, 1990L, 1991L, 1992L, 
1993L, 1994L, 1995L, 1996L, 1997L, 1998L, 1999L, 1970L, 1971L, 
1972L, 1973L, 1974L, 1975L, 1976L, 1977L, 1978L, 1979L, 1971L, 
1972L, 1973L, 1974L, 1975L, 1976L, 1977L, 1978L, 1979L), gender = structure(c(2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("f", "m"), class = "factor"), 
    time = c(2.1613899999999999, 2.1369400000000001, 2.1580599999999999, 
    2.1497199999999999, 2.2480600000000002, 2.19278, 2.1850000000000001, 
    2.1836099999999998, 2.13889, 2.13361, 2.2108300000000001, 
    2.1577799999999998, 2.1580599999999999, 2.16778, 2.1891699999999998, 
    2.1833300000000002, 2.165, 2.1366700000000001, 2.1458300000000001, 
    2.1538900000000001, 2.4283299999999999, 2.4247200000000002, 
    2.4538899999999999, 2.4500000000000002, 2.4916700000000001, 
    2.4761099999999998, 2.4683299999999999, 2.5047199999999998, 
    2.46861, 2.4249999999999998, 2.5125000000000002, 2.4588899999999998, 
    2.4111099999999999, 2.4399999999999999, 2.46028, 2.4683299999999999, 
    2.47167, 2.4783300000000001, 2.4213900000000002, 2.4183300000000001, 
    2.5272199999999998, 2.3816700000000002, 2.4644400000000002, 
    2.3650000000000002, 2.4416699999999998, 2.3241700000000001, 
    2.1694399999999998, 2.1911100000000001, 2.2033299999999998, 
    2.1949999999999998, 2.9227799999999999, 3.14472, 2.95194, 
    3.1247199999999999, 2.7705600000000001, 2.65306, 2.7194400000000001, 
    2.5416699999999999, 2.4591699999999999)), row.names = c(NA, 
-59L), class = c("tbl_df", "tbl", "data.frame"))