dplyr: filtra las filas según el resultado de la función agregada

Tengo una lista de tablas (cantidad, año y mes) y quiero filtrar las filas correspondientes a años completos. Es decir. Quiero omitir las últimas 4 filas del marco de datos de muestra que doy a continuación, que se refieren a 2015, y obtener el resto 60. ¿Es posible hacerlo con un solo comando dplyr?

Intenté esto:

df %>%
    group_by(year) %>%
    tally() %>%
    filter (n==12) %>%
    ungroup() 

pero supongo que desagrupar hace algo diferente de lo que quiero. ¿Es posible hacer eso con un solo comando dplyr?

df <- structure(list(amount = c(16365, 31850, 32230, 34177.75, 27900, 
29650, 28846, 27300, 37115.31, 34130.38, 39676.1, 47244.44, 3500, 
25425.48, 22628.43, 30822.86, 30100, 41567.13, 25400, 23125, 
40073.75, 16505.82, 17770, 38406.03, 1528.25, 23475.77, 29869.69, 
17020, 19270, 13085.47, 10607.48, 7800, 15220, 15260, 17580, 
25094.66, 3908.74, 8150, 25055.89, 19690.65, 12445.4, 10347.39, 
7645.39, 49300, 8690, 13660, 16510, 34457.08, 522.68, 10202, 
18900, 25027.1, 24956.42, 23259, 32743, 37226, 32697, 32258, 
31336.67, 36135.81, 4389.26, 12450, 46220.43, 36770.7), year = c("2010", 
"2010", "2010", "2010", "2010", "2010", "2010", "2010", "2010", 
"2010", "2010", "2010", "2011", "2011", "2011", "2011", "2011", 
"2011", "2011", "2011", "2011", "2011", "2011", "2011", "2012", 
"2012", "2012", "2012", "2012", "2012", "2012", "2012", "2012", 
"2012", "2012", "2012", "2013", "2013", "2013", "2013", "2013", 
"2013", "2013", "2013", "2013", "2013", "2013", "2013", "2014", 
"2014", "2014", "2014", "2014", "2014", "2014", "2014", "2014", 
"2014", "2014", "2014", "2015", "2015", "2015", "2015"), month = c("01", 
"02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", 
"01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", 
"12", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", 
"11", "12", "01", "02", "03", "04", "05", "06", "07", "08", "09", 
"10", "11", "12", "01", "02", "03", "04", "05", "06", "07", "08", 
"09", "10", "11", "12", "01", "02", "03", "04")), .Names = c("amount", 
"year", "month"), class = c("tbl_df", "data.frame"), row.names = c(NA, 
-64L))

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