У меня проблемы с установкой y-break в моем коде.
Проблема в том, что «реальный» график достигает очень высоких значений, поэтому, когда я строю «low», «mean», «up» «и» реальные графики в одном и том же facet_grid, невозможно увидеть все линии и неопределенности. Таким образом, я хочу разбить ось y первого графика (реальный график) с 750000 (максимум вверх, минимум и средний график) до 1e14 и начать снова с 1e15 до 1.5e15.
В дополнение Я хочу разную важность для каждой шкалы y. Я имею в виду, я хочу уделять больше внимания (= больше места в y) низким значениям, давая больше утиков, и меньше важности для высоких значений (например, от 1e15 до 1.5e15, только 2 тика и очень близко между ними), чтобы увидеть все данные на графике.
Любая помощь? ¿? Я не знаю, что делать ...
КОД:
ggplot(data, aes(x= year)) +
geom_line(aes(x= year, y = median, colour = Dquant), size = 1) +
geom_line(aes( y = mean, colour = Dquant), size = 1, linetype="dashed") +
geom_ribbon(aes(ymin = min,
ymax = max, fill = Dquant), alpha = 0.3) +
facet_grid(~sce, scales="free") +
theme_minimal() +
theme( axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.title = element_blank(),
legend.text = element_text(size = 14),
legend.position="bottom")
участки:
Без реального 
С настоящим 
Данные:
Data <-
structure(list(year = c(1997, 1997, 1997, 1998, 1998, 1998, 1999,
1999, 1999, 2000, 2000, 2000, 2001, 2001, 2001, 2002, 2002, 2002,
2003, 2003, 2003, 2004, 2004, 2004, 2005, 2005, 2005, 2006, 2006,
2006, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008,
2008, 2008, 2008, 2008, 2009, 2009, 2009, 2009, 2009, 2009, 2009,
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011, 2011, 2011, 2011,
2011, 2011, 2011, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2013,
2013, 2013, 2013, 2013, 2013, 2013, 2014, 2014, 2014, 2014, 2014,
2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016,
2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,
2017, 2018, 2018, 2018, 2018, 2018, 2018, 2018), Dquant = c("1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "1998-2018", "1998-2018", "1998-2018",
"1998-2018", "1998-2018", "2008-2018", "2008-2018", "2008-2018",
"2008-2018", "1998-2018", "1998-2018", "1998-2018", "2008-2018",
"2008-2018", "2008-2018", "2008-2018", "1998-2018", "1998-2018",
"1998-2018", "2008-2018", "2008-2018", "2008-2018", "2008-2018",
"1998-2018", "1998-2018", "1998-2018", "2008-2018", "2008-2018",
"2008-2018", "2008-2018", "1998-2018", "1998-2018", "1998-2018",
"2008-2018", "2008-2018", "2008-2018", "2008-2018", "1998-2018",
"1998-2018", "1998-2018", "2008-2018", "2008-2018", "2008-2018",
"2008-2018", "1998-2018", "1998-2018", "1998-2018", "2008-2018",
"2008-2018", "2008-2018", "2008-2018", "1998-2018", "1998-2018",
"1998-2018", "2008-2018", "2008-2018", "2008-2018", "2008-2018",
"1998-2018", "1998-2018", "1998-2018", "2008-2018", "2008-2018",
"2008-2018", "2008-2018", "1998-2018", "1998-2018", "1998-2018",
"2008-2018", "2008-2018", "2008-2018", "2008-2018", "1998-2018",
"1998-2018", "1998-2018", "2008-2018", "2008-2018", "2008-2018",
"2008-2018", "1998-2018", "1998-2018", "1998-2018", "2008-2018",
"2008-2018", "2008-2018", "2008-2018"), sce = structure(c(2L,
1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L,
3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L,
4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L,
1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L,
2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L,
3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L,
2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 2L, 1L, 3L, 4L, 2L, 1L,
3L), .Label = c("real", "mean", "up", "low"
), class = "factor"), median = c(271250.933411761, 174329.842690641,
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351870.144130187, 341348.167592571, 433858.444814038, 326115.697814003,
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