У меня есть набор данных по 100 тыс. Строк, и проблема отображается только при построении кадра данных с более чем 33 тыс. Строк. Я пытаюсь построить это (код работает!):
dataframe %>%
mutate(id = row_number()) %>%
gather(-id, key = "key", value = "val") %>%
mutate(isna = is.na(val), val=NULL) %>%
ggplot(aes(key, id, fill = isna)) +
geom_raster(alpha=0.8) +
scale_fill_manual(name = "",
values = c('royalblue2', 'tomato3'),
labels = c("Presente", "Missing")) +
labs(x = "Variable", y = "Número de fila", title = "Missing values en filas") +
coord_flip()
Приведенный выше код будет работать с данными, которые я дал вам в конце этого вопроса, но когда вы увеличите числоСтроки (мне нужно сделать график с кадром данных 100k строк) в какой-то момент он начинает давать пустой график. Для меня это начинается с 33k строк данных.
Для меня кажется, что проблема заключается в geom_raster()
. Когда я изменил его на geom_tile()
, это сработало, но я не могу поставить alpha=0.8
, так как это создает некоторые границы на столбцах внутри графика. Может geom_raster()
имеет некоторые ограничения по размеру, я не знаю? Или это может быть способ поставить alpha=0.8
с geom_tile()
?
Из-за ограничений на количество символов в столбце StackOverflow я могу предоставить вам данные только из первых 500 строк. Но если вы сможете выполнить выборку из этого набора данных до 100 тыс. Строк, вы сможете воспроизвести мою ошибку.
structure(list(cloud_coverage = c(6, NA, 2, 2, 2, NA, 6, NA,
NA, NA, NA, NA, 6, NA, NA, NA, NA, NA, 6, NA, NA, NA, NA, NA,
6, 4, NA, NA, NA, 4, 6, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA,
NA, 6, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA,
NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8,
NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 6, 4, 2, 4, 2, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 4, 2,
4, NA, 4, 6, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA,
NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 6, NA, NA, NA, NA, NA,
8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA,
NA, NA, 6, 4, NA, NA, NA, NA, 8, NA, NA, NA, NA, 9, 8, NA, NA,
NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 6,
NA, 2, 4, NA, NA, 8, NA, NA, NA, NA, 9, 9, 9, 9, 9, NA, NA, 8,
NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 6, NA, NA, NA, NA,
NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 4, NA, NA,
NA, NA, NA, 6, NA, NA, NA, NA, NA, 6, 4, 2, 2, 2, 2, 2, 2, 2,
0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 4, 4, NA, 4, 4, 2, 2, 4,
4, 4, 4, 4, NA, NA, NA, 4, 4, NA, NA, NA, NA, 8, NA, NA, NA,
NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA,
NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA,
4, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, NA, NA, NA,
NA, NA, 8, NA, NA, NA, NA, NA, 6, NA, 4, 2, 4, NA, 6, NA, NA,
4, 2, 2, 2, 4, NA, 2, 2, 2, 4, 2, 2, 2, 2, 4, 4, 4, NA, NA, 2,
NA, 6, NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, NA, 8, 4, 4, NA,
NA, NA, 4, 4, NA, 4, NA, NA, 6, NA, NA, 4, 2, 0, 0, 0, 0, 0,
4, NA, 4, 2, 2, 2, 2, 4, 2, NA, NA, NA, NA, NA, 6, NA, NA, NA,
NA, NA, 6, NA, NA, NA, NA, NA, 6, NA, NA, NA, NA, 4, 4, 2, 2,
2, 2, 2, 2, 0, 0, 0, 0, 2, 4, NA, NA, NA, NA, NA, 6, 4, 4, 2,
2, 2, 4, NA, NA, NA, NA, NA, 6, NA, NA, NA, NA, NA, 6, NA, 2,
NA, NA, 4, 6, NA, NA, NA, NA, NA, 6, NA), precip_depth_1_hr = c(NA,
-1, 0, 0, -1, 0, -1, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, 0, 0, 0, 0, 0,
0, -1, -1, 3, -1, 0, 0, -1, 3, 5, -1, 8, 8, 8, -1, 2, -1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, 3, 3, -1, 0, -1,
0, -1, -1, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1,
-1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1,
-1, 10, 8, 5, -1, 3, -1, 20, 33, -1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 38,
13, 3, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, -1, -1, 10, -1, -1, 15, 7, 23, 165, 8, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 18, 51, 61, 30, 81, 69, 0, 0,
0, 0, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), sea_level_pressure = c(1019.7,
1020.2, 1020.2, 1020.1, 1020, NA, 1019.4, 1018.8, 1018.1, 1019,
1018.4, 1018.9, 1019.2, 1019.6, 1020.1, 1020.3, 1020.2, 1019.5,
1018.2, 1017.2, 1017, 1016.8, 1016.9, 1017.5, 1018.1, 1018.5,
NA, 1019.5, 1019.4, 1019.3, 1019, 1018.4, 1018.5, 1018.1, 1018.1,
1018.7, 1019.5, 1020, 1020.9, 1021.5, 1021.5, 1020.4, 1018.7,
1017.6, 1016.8, 1017.6, 1017.9, 1018.1, 1018.2, 1018.6, 1018.3,
1018, 1018.3, 1019, 1018.4, 1017.9, 1017, 1016.7, 1017, 1016.9,
1017, 1017.9, 1019.3, 1019.1, 1016.7, 1016.9, 1016.6, 1015.6,
1015.7, 1015.1, 1015, 1014.6, 1015.1, 1015.8, 1016.3, NA, 1015.6,
1014.9, 1015.1, 1014.2, 1014, 1013.7, 1014.2, 1014.4, 1015.3,
1016.2, 1016.7, 1017.3, 1016.9, 1016.8, 1016, 1015.3, 1015.6,
1016, 1016.5, 1017.4, 1017.9, 1019, 1020.4, 1021, 1021.2, 1021.3,
1020.9, 1020.9, 1020.8, 1021.5, 1022.2, 1022.5, 1023.1, 1023.7,
1024.4, 1024.7, 1024.7, 1024.8, 1023.9, 1023.2, 1023.3, 1023.4,
1024, 1024.1, 1024.6, 1025.2, 1025.8, 1025.9, 1025.2, 1024.9,
1023.9, 1023.5, 1022.7, 1023, 1022.1, 1022.5, 1022.5, 1022.7,
1023.2, 1023.5, 1023.3, 1021.8, 1020.2, 1019, 1018.3, 1018, 1018.6,
1018.5, 1019, 1019, 1019.6, 1019.5, 1019.5, 1018.9, 1018.4, 1018,
1017.4, 1016.7, 1016.4, 1016.4, 1016.9, 1017.2, 1017.7, 1018.3,
1018.3, 1017.2, 1015.9, 1014.9, 1014.1, 1013.4, 1013.8, 1014.2,
1014.7, 1015.1, 1015.8, NA, 1015.4, 1014.8, 1013.8, 1013.4, 1013.9,
1013.5, 1013.3, 1013.4, 1013.3, 1013.4, 1014.5, 1014.6, 1014.5,
1013.8, 1012.6, NA, 1011.8, 1011.5, 1012.2, 1012.4, 1012.7, 1013,
1013.4, 1013.3, 1013.1, 1012.9, 1012.6, 1012.2, 1011.7, 1011.6,
1011.6, 1011.5, 1012.6, 1013.2, 1013.8, 1014, 1013.3, 1012.3,
1011.4, 1010.7, 1010, 1010.4, 1010.4, 1011, 1011.2, 1010, 1010.9,
1010.5, 1010.4, 1010, 1009.5, 1009.7, 1009.2, 1009.7, 1009.9,
1010.6, 1011.4, 1012.2, 1013.2, 1013.9, 1014.2, 1014.1, 1014.2,
1014, 1014.3, 1015, 1015.6, 1016.4, 1017.2, 1017.8, 1018.3, 1018.6,
1018.8, 1018.9, 1018.8, 1019.1, 1019.6, 1019.7, 1020.2, 1021.1,
1022.1, 1022.7, 1023.1, 1023.8, 1023.7, 1022.8, 1021.5, 1020.7,
1020.2, 1020.1, 1020.4, 1020.9, 1021.6, 1022.5, 1022.9, 1023.1,
1023.4, 1022.8, 1022.6, 1022.1, 1022.1, 1021.8, 1021.6, 1021.4,
1022.7, 1022.9, 1023.2, 1024.2, 1024, 1023.2, 1021.8, 1020.9,
1020.5, 1020.7, 1020.6, 1021.4, 1021.6, 1022.1, 1022.3, 1022.7,
1023, 1022.7, 1022.6, 1022.4, 1022.7, 1022.8, 1022.7, 1023.5,
1024.1, 1024.4, 1024.6, 1025.3, 1025.2, 1024.3, 1023.3, 1022.2,
1021.2, 1021.4, 1021.4, 1021.5, 1021.8, 1022.6, 1022.9, 1022.8,
1022.8, 1022.7, 1022.7, 1021.9, 1021.7, 1021.9, 1021.4, 1021.5,
1021.9, 1021.7, 1022.6, 1022.5, 1021.9, 1021.1, 1020.2, 1018.8,
1018.5, 1018.2, 1018.2, 1018.7, 1018.2, 1017.8, 1018.6, 1018.3,
1017, 1015.8, 1015.2, 1013.6, 1012.8, 1012.4, 1011.2, 1010.1,
1009.9, 1009.3, 1010, NA, 1007.8, 1008.5, 1005.6, 1005.4, 1005.1,
1005.4, 1006.5, 1007.3, 1008.2, 1009, 1009.8, 1010.4, 1010.9,
1010.9, 1011, 1011, NA, NA, NA, 1011.4, 1011.9, 1012.5, 1012.7,
1013.1, 1013.2, 1012.3, 1011.4, 1010.9, 1010.5, 1010.1, 1010.8,
1011.1, 1011.1, 1011, 1010.1, 1009.9, 1007.6, 1009.6, 1007.2,
1004.4, 1003.4, 1001, 999, 1000.1, 1002.3, 1002.7, 1003.9, 1006.1,
1009, 1009.9, 1010, 1010.3, 1011, 1011.8, 1013.3, 1014.2, 1015.3,
1015.8, 1016.7, 1017.5, 1018.2, 1018.3, 1018.2, 1018.2, 1018.8,
1019.2, 1019.4, 1020.3, 1021.3, 1021.8, 1022.6, 1023.4, 1024.1,
1023.4, 1022.7, 1021.8, 1021.7, 1022.2, 1022.8, 1023.5, 1024.5,
1025.3, 1026.1, 1026.4, 1026.9, 1027, 1026.6, 1026.7, 1026.8,
1026.8, 1027.1, 1027.6, 1027.9, 1028.6, 1029.3, 1030.1, 1030.2,
1029.5, 1028.1, 1027.4, 1026.7, 1027, 1027.5, 1027.7, 1027.9,
1028.5, 1028.1, 1028.4, 1028.4, 1028.5, 1027.9, 1027.7, 1027.2,
1027.2, 1027.1, 1027, 1026.7, 1027.2, 1027.3, 1028, 1027.4, 1027,
1025.3, 1024.3, 1023.5, 1022.7, 1022.6, 1022.8, 1023.3, 1023.5,
1023.9, 1024, 1024.2, 1023.9, 1023.6, 1023.3, 1022.9, 1022.6,
1022.3, 1022.3, 1022.6, 1023.1, 1023.9, 1024.3, 1023.9, 1023.1,
1021.9, 1020.7), wind_direction = c(0, 70, 0, 0, 250, 0, 0, 210,
0, 290, 0, 0, 210, 0, 0, 210, 210, 230, 200, 180, 210, 220, 230,
230, 270, 300, 360, 20, 30, 20, 10, 10, 360, 10, 10, 20, 350,
360, 360, 360, 350, 360, 10, 60, 20, 350, 10, 10, 10, 20, 20,
350, 340, 330, 330, 350, 350, 340, 340, 350, 10, 350, 340, 360,
110, 350, 320, 330, 310, 340, 350, 340, 350, 320, 320, 290, 360,
320, 270, 320, 310, 330, 320, 340, 320, 320, 320, 330, 330, 320,
310, 300, 300, 300, 320, 320, 20, 30, 30, 360, 360, 350, 360,
360, 360, 360, 360, 10, 20, 10, 10, 30, 50, 40, 30, 50, 60, 50,
60, 40, 50, 50, 10, 40, 10, 20, 360, 360, 350, 340, 10, 350,
340, 350, 330, 350, 340, 360, 20, 10, 30, 350, 350, 360, 360,
360, 360, 360, 340, 340, 330, 340, 340, 360, 350, 350, 360, 360,
360, 10, 350, 320, 350, NA, NA, 30, 60, 80, 80, 80, 70, 30, 90,
100, 90, 90, 0, 0, 0, 80, 120, 160, 180, 130, 0, 0, 140, 160,
0, 40, 330, 10, 30, 40, 30, 30, 10, 350, 10, 10, 10, 10, 30,
20, 340, 330, 0, 0, 0, 0, 190, 170, 180, 200, 0, 0, 140, 140,
110, 170, 160, 180, 190, 200, 200, 220, 230, 240, 240, 250, 280,
290, 280, 280, 300, 280, 280, 280, 280, 270, 290, 300, 300, 300,
290, 310, 320, 320, 330, 330, 330, 330, 350, 350, 360, 340, NA,
350, 360, 350, 340, 360, 340, 40, 20, 30, 30, 30, 0, 360, 350,
350, 360, 340, 360, 350, 340, 360, 360, 340, 20, 350, 360, 330,
360, 320, 310, 300, 310, 350, 330, 350, 360, 0, 340, 310, 320,
350, 350, 350, 360, 360, 360, 10, 10, 10, 360, 30, 360, 360,
350, 360, 360, 360, 350, 360, 10, 360, 10, 360, 360, 10, 10,
10, 360, 10, 20, 30, 40, 40, 80, 110, 90, 80, 70, 50, 80, 50,
20, 60, 90, 100, 130, 140, 140, 140, 130, 150, 170, 160, 180,
160, 160, 240, 250, 260, 270, 280, 270, 260, 270, 260, 250, 250,
250, 240, 220, 190, 180, 190, 190, 190, 180, 190, 200, 190, 220,
250, 240, 230, 250, 230, 220, 240, 220, 160, 150, 190, 130, 180,
160, 100, 120, 130, 150, 210, 220, 210, 220, 280, 310, 320, 340,
350, 310, 320, 310, 320, 310, 0, 300, 290, 310, 330, 330, 340,
330, 350, 350, 350, 350, 350, 340, 340, 340, 330, 350, 340, NA,
340, 360, 280, 310, 310, 300, 310, 320, 340, 340, 340, 350, 350,
350, 350, 350, 350, 350, 340, 330, 320, 350, 360, 10, 320, 360,
360, 10, 50, 30, 10, 20, 20, 360, 350, 350, 350, 340, 340, 350,
350, 360, 340, 10, 320, 0, 270, 0, 80, 120, 0, 0, 90, 0, 90,
80, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 90, 140, 160, 140, 170),
wind_speed = c(0, 1.5, 0, 0, 2.6, 0, 0, 1.5, 0, 1.5, 0, 0,
1.5, 0, 0, 3.1, 4.1, 3.6, 5.1, 5.1, 4.1, 4.6, 3.1, 3.1, 2.6,
2.1, 5.7, 5.1, 4.6, 2.6, 2.1, 2.6, 3.6, 3.1, 5.1, 6.2, 5.7,
4.1, 5.1, 3.6, 3.6, 3.6, 3.1, 3.1, 3.1, 5.1, 4.1, 4.6, 5.1,
6.7, 4.1, 4.1, 5.1, 5.1, 8.2, 6.2, 6.7, 5.1, 4.6, 4.1, 4.6,
6.7, 6.7, 5.1, 5.1, 4.6, 4.1, 2.1, 3.1, 3.6, 5.1, 4.1, 4.6,
4.6, 4.1, 4.1, 3.6, 2.6, 2.6, 5.1, 3.6, 4.1, 5.7, 3.1, 5.1,
4.1, 4.6, 6.2, 3.6, 4.1, 5.1, 4.6, 5.7, 5.7, 3.6, 2.6, 4.6,
7.7, 5.1, 4.1, 5.7, 4.1, 4.1, 4.6, 5.1, 4.6, 4.6, 5.1, 7.2,
6.7, 8.8, 5.7, 8.8, 8.8, 7.7, 6.7, 7.7, 8.8, 7.2, 6.7, 6.2,
5.7, 6.2, 4.6, 4.6, 5.7, 4.6, 4.1, 5.7, 3.1, 5.1, 3.6, 5.7,
4.6, 4.6, 4.6, 4.6, 6.2, 5.7, 6.2, 7.2, 8.2, 6.2, 6.7, 6.7,
7.7, 6.7, 5.1, 5.1, 4.6, 4.1, 4.1, 4.1, 3.6, 3.6, 4.1, 3.6,
4.6, 4.6, 4.1, 2.6, 2.6, 4.6, 2.1, 1.5, 2.6, 2.6, 2.1, 2.6,
3.1, 3.1, 3.6, 2.6, 2.1, 2.6, 2.1, 0, 0, 0, 3.1, 2.1, 2.6,
3.6, 2.6, 0, 0, 4.1, 2.1, 0, 1.5, 1.5, 2.1, 4.6, 4.1, 4.6,
3.1, 2.1, 2.1, 2.1, 2.1, 2.1, 3.1, 3.1, 2.6, 3.1, 2.6, 0,
0, 0, 0, 3.1, 3.6, 2.1, 3.6, 0, 0, 1.5, 3.6, 2.1, 2.6, 2.6,
2.6, 3.1, 5.1, 4.6, 3.6, 3.1, 4.6, 3.6, 3.1, 4.6, 4.1, 5.7,
5.7, 5.7, 6.2, 5.1, 4.6, 4.1, 4.6, 4.6, 6.2, 5.1, 4.1, 5.1,
3.6, 5.7, 5.7, 5.1, 5.1, 4.1, 2.6, 4.6, 3.6, 4.6, 3.1, 1.5,
2.6, 4.1, 4.1, 2.6, 2.1, 3.1, 4.6, 3.6, 3.6, 3.6, 2.6, 0,
2.6, 2.6, 3.1, 2.6, 3.1, 3.1, 2.6, 3.1, 2.6, 3.1, 5.7, 2.6,
3.1, 4.1, 4.1, 3.6, 4.6, 3.1, 2.6, 3.1, 3.1, 2.6, 3.1, 3.1,
0, 2.6, 2.1, 3.6, 3.6, 4.1, 4.1, 2.1, 3.1, 4.1, 4.6, 6.2,
5.1, 4.1, 2.1, 4.1, 2.6, 3.1, 3.1, 4.1, 3.6, 3.1, 2.6, 1.5,
3.1, 2.1, 2.6, 2.6, 3.1, 2.6, 3.1, 3.1, 3.6, 3.6, 4.1, 3.1,
4.6, 3.6, 3.6, 4.1, 4.1, 3.6, 3.6, 3.6, 3.6, 2.1, 2.6, 3.1,
4.1, 2.6, 4.6, 4.6, 4.1, 4.1, 4.6, 5.7, 3.1, 4.1, 9.8, 6.7,
5.1, 2.6, 5.7, 9.8, 7.7, 5.7, 5.1, 3.6, 4.1, 4.6, 3.1, 2.6,
1.5, 1.5, 2.1, 1.5, 1.5, 1.5, 2.6, 2.6, 2.1, 3.1, 4.1, 5.1,
5.7, 6.2, 5.7, 4.6, 5.1, 4.6, 2.6, 1.5, 3.1, 4.1, 2.6, 4.1,
4.1, 7.7, 2.1, 4.1, 5.1, 7.7, 7.2, 6.2, 6.7, 6.7, 10.8, 9.8,
8.8, 9.3, 6.7, 8.2, 7.2, 5.7, 3.6, 2.1, 0, 2.6, 3.6, 3.6,
3.6, 3.6, 4.6, 3.6, 4.6, 6.2, 4.1, 4.1, 5.7, 5.1, 4.1, 4.6,
5.1, 4.6, 4.1, 3.1, 3.6, 3.6, 2.1, 3.1, 3.1, 1.5, 3.6, 4.6,
3.6, 5.7, 5.1, 6.2, 5.7, 5.7, 2.1, 4.6, 7.2, 6.2, 5.7, 5.7,
5.7, 3.6, 4.1, 6.7, 4.1, 4.1, 3.6, 3.1, 3.6, 4.6, 3.6, 4.6,
2.1, 1.5, 2.6, 3.1, 2.6, 3.1, 2.1, 3.1, 3.1, 2.6, 4.1, 2.6,
2.6, 0, 2.6, 0, 2.1, 1.5, 0, 0, 2.1, 0, 1.5, 1.5, 0, 0, 0,
0, 0, 0, 1.5, 0, 0, 0, 1.5, 2.1, 3.6, 3.6, 3.6), dew_temperature = c(20,
21.1, 21.1, 20.6, 20, 19.4, 21.1, 21.1, 20, 20.6, 20.6, 20,
18.9, 20, 21.1, 21.1, 20, 20.6, 20, 19.4, 18.9, 18.3, 18.3,
18.3, 18.9, 18.3, 19.4, 18.9, 17.8, 17.2, 17.2, 17.2, 16.7,
16.7, 16.7, 13.9, 13.3, 13.9, 13.3, 13.3, 13.3, 11.7, 11.7,
12.8, 13.9, 13.9, 13.9, 13.9, 13.9, 12.8, 12.8, 12.8, 12.8,
12.8, 13.3, 12.2, 12.2, 12.2, 11.7, 12.2, 12.2, 12.2, 11.7,
11.7, 12.2, 12.2, 12.8, 12.8, 12.8, 13.3, 12.2, 11.7, 11.1,
11.1, 10, 10, 7.2, 7.8, 8.3, 7.8, 7.8, 6.7, 4.4, 4.4, 4.4,
3.9, 2.2, 2.2, 1.1, -0.6, -1.7, -0.6, -1.7, -0.6, -1.1, 2.2,
3.9, 4.4, 6.1, 6.7, 6.1, 6.1, 6.1, 6.1, 6.7, 6.7, 6.7, 6.7,
7.8, 7.8, 7.8, 8.9, 9.4, 8.3, 7.8, 5.6, 8.9, 7.8, 8.3, 8.9,
9.4, 9.4, 10, 10.6, 10, 10, 11.7, 11.7, 12.2, 11.7, 11.7,
12.8, 13.3, 13.3, 11.7, 12.8, 13.3, 14.4, 15.6, 15.6, 13.9,
15, 13.9, 14.4, 13.9, 13.3, 13.3, 13.3, 13.3, 13.3, 13.3,
13.3, 13.3, 13.3, 13.3, 13.9, 13.9, 13.9, 13.9, 13.9, 13.9,
14.4, 15, 15.6, 15.6, 15, 15, 14.4, 15, 15.6, 15, 15, 15,
15, 15, 15, 15.6, 15, 15.6, 15, 15.6, 15.6, 16.1, 16.1, 16.1,
16.7, 17.2, 17.8, 17.8, 18.3, 18.3, 17.8, 17.8, 17.2, 16.1,
15.6, 15, 14.4, 14.4, 13.9, 13.9, 15, 14.4, 15, 15, 15, 15.6,
16.1, 16.7, 17.2, 17.2, 17.8, 17.8, 17.8, 17.8, 17.8, 18.9,
17.8, 18.9, 18.3, 17.8, 17.2, 17.8, 18.9, 18.3, 18.9, 18.9,
19.4, 20, 20, 18.9, 17.8, 16.7, 15.6, 13.3, 12.2, 11.7, 11.1,
10, 9.4, 9.4, 8.9, 8.9, 8.9, 8.9, 8.3, 6.7, 7.2, 6.7, 3.3,
3.3, 3.9, 3.3, 3.3, 2.8, 1.7, 2.8, 1.7, 1.1, 1.1, 1.1, 1.7,
1.7, 2.8, 2.2, 5, 3.9, 3.9, 3.9, 3.3, 3.3, 3.9, 2.8, 2.8,
2.8, 2.8, 2.2, 2.2, 3.3, 3.9, 1.7, -1.1, -2.2, -3.9, -3.3,
-4.4, -4.4, -2.8, -3.3, 0, 1.1, 1.1, 0.6, 1.1, 2.2, 2.2,
3.3, 1.1, -0.6, -1.1, -0.6, 0.6, 0.6, -0.6, -1.1, -1.1, 0,
0.6, 1.1, 0.6, 1.1, 2.8, 3.3, 3.3, 3.9, 4.4, 5, 5, 5, 5.6,
5, 4.4, 4.4, 2.8, 1.7, 2.2, 3.3, 5, 6.1, 7.2, 8.9, 8.9, 9.4,
10.6, 11.1, 11.1, 11.7, 11.7, 12.8, 13.3, 13.3, 13.9, 14.4,
15, 15, 15.6, 16.1, 17.2, 17.2, 17.2, 17.8, 18.3, 19.4, 16.7,
17.2, 16.1, 13.9, 13.9, 12.8, 11.7, 11.7, 12.2, 12.8, 13.3,
13.3, 13.3, 12.2, 11.7, NA, NA, NA, 11.1, 11.1, 12.2, 14.4,
15.6, 15.6, 14.4, 13.9, 12.8, 12.2, 11.1, 10, 10.6, 11.1,
11.7, 12.2, 13.3, 12.2, 13.3, 13.3, 13.3, 13.9, 14.4, 17.2,
17.8, 16.1, 15, 15.6, 15.6, 12.8, 10, 9.4, 8.9, 8.9, 8.3,
6.7, 6.7, 6.7, 7.2, 7.8, 7.8, 7.8, 6.7, 5, 4.4, 3.9, 2.8,
2.2, 1.7, 0.6, 0.6, 0, 1.7, 0.6, -0.6, -2.8, -2.2, -1.7,
-2.2, -3.3, -0.6, -0.6, -0.6, 1.1, 2.2, 0.6, 1.1, -0.6, 0,
-0.6, -0.6, 0.6, 1.1, 0.6, 0, -1.7, -1.7, -1.7, -4.4, -5,
-7.2, -7.8, -9.4, -7.8, -3.9, -4.4, -2.8, -1.7, -1.1, -1.1,
-0.6, -0.6, -0.6, -0.6, -1.7, -2.8, -1.7, -2.2, -1.1, 0,
2.2, 4.4, 5, 2.8, 1.7, 0.6, 0.6, 0.6, 0.6, 2.2, 7.2, 7.8,
7.8, 6.1, 6.7, 6.7, 6.7, 5.6, 6.1, 6.1, 6.1, 6.1, 7.2, 9.4,
9.4, 9.4, 10.6, 11.1, 11.1), air_temperature = c(25, 24.4,
22.8, 21.1, 20, 19.4, 21.1, 21.1, 20.6, 21.1, 21.1, 20.6,
18.9, 20, 21.7, 23.9, 26.1, 26.7, 27.8, 28.3, 28.3, 27.8,
26.7, 25.6, 24.4, 23.9, 22.2, 21.1, 20.6, 19.4, 18.9, 18.9,
18.9, 18.3, 18.9, 16.7, 15.6, 15, 16.1, 17.2, 17.8, 19.4,
20.6, 22.2, 22.8, 21.1, 20, 18.9, 17.8, 16.7, 16.7, 16.1,
16.7, 15.6, 15.6, 15, 15, 15, 14.4, 14.4, 14.4, 14.4, 13.3,
13.3, 13.3, 13.3, 14.4, 15, 14.4, 14.4, 13.9, 12.8, 12.2,
11.7, 11.1, 11.1, 9.4, 10.6, 10, 10, 10.6, 10.6, 10, 10,
9.4, 8.9, 11.1, 13.3, 15.6, 15.6, 17.2, 17.8, 17.8, 17.8,
17.8, 14.4, 13.3, 13.3, 12.2, 11.1, 11.7, 10.6, 10, 10.6,
10.6, 10, 10.6, 11.1, 11.7, 12.2, 13.9, 15.6, 18.9, 19.4,
20, 20, 18.9, 17.8, 17.2, 16.7, 16.1, 16.1, 15.6, 15, 13.9,
13.9, 13.3, 13.3, 13.9, 13.9, 13.3, 13.9, 14.4, 14.4, 12.8,
13.9, 15, 17.2, 19.4, 20, 21.1, 18.9, 17.2, 16.1, 15.6, 15.6,
15, 14.4, 14.4, 14.4, 14.4, 14.4, 13.9, 13.9, 13.9, 14.4,
14.4, 14.4, 15, 15, 17.2, 18.3, 19.4, 21.1, 22.8, 22.2, 21.1,
20.6, 19.4, 17.8, 16.7, 16.1, 15.6, 15.6, 15.6, 15.6, 15.6,
15.6, 15.6, 15.6, 15.6, 16.1, 16.7, 17.2, 17.8, 17.8, 18.3,
20, 20.6, 22.2, 21.7, 20.6, 19.4, 18.3, 17.2, 16.7, 16.1,
15, 15, 14.4, 14.4, 15, 15, 15, 15, 15.6, 15.6, 16.1, 16.7,
18.9, 20, 21.7, 21.1, 21.7, 21.7, 20.6, 19.4, 19.4, 19.4,
18.9, 18.3, 17.8, 18.3, 19.4, 19.4, 19.4, 19.4, 20.6, 20.6,
20.6, 21.1, 21.7, 21.1, 20, 19.4, 18.9, 17.8, 18.3, 17.2,
15.6, 14.4, 13.9, 13.3, 12.8, 12.8, 12.2, 11.7, 11.1, 10.6,
9.4, 8.3, 7.2, 6.7, 6.7, 7.8, 8.9, 10.6, 11.7, 12.8, 14.4,
15, 15.6, 15, 12.8, 11.1, 10, 8.9, 7.8, 7.8, 6.1, 5.6, 6.1,
5, 5.6, 5.6, 6.1, 6.1, 6.1, 9.4, 12.2, 14.4, 16.7, 17.8,
18.9, 19.4, 18.3, 16.7, 15, 13.3, 11.1, 11.7, 10.6, 10.6,
10, 8.9, 8.3, 9.4, 9.4, 8.9, 8.9, 8.3, 8.9, 10.6, 13.9, 15.6,
15, 15, 15.6, 15.6, 15, 14.4, 12.8, 12.2, 11.7, 11.1, 10.6,
10.6, 10, 8.9, 8.9, 8.3, 8.3, 8.9, 8.9, 8.9, 9.4, 11.7, 13.3,
15.6, 17.2, 20, 21.1, 20.6, 20.6, 19.4, 18.3, 16.7, 16.7,
17.2, 16.7, 16.1, 15.6, 16.7, 17.8, 17.8, 18.3, 17.8, 17.8,
18.3, 17.8, 18.3, 19.4, 20, 17.8, 18.9, 22.8, 23.9, 23.3,
22.8, 20.6, 18.9, 17.8, 17.2, 16.7, 15.6, 15, 12.8, 11.7,
NA, NA, NA, 11.1, 11.7, 12.8, 15.6, 18.9, 21.1, 23.9, 24.4,
25, 25, 25.6, 24.4, 21.7, 20, 16.1, 17.2, 17.8, 18.3, 17.8,
15.6, 14.4, 14.4, 15, 17.8, 19.4, 18.3, 18.9, 20, 20.6, 15.6,
15, 17.2, 17.8, 17.8, 16.7, 15.6, 13.9, 13.3, 12.2, 12.2,
11.7, 11.1, 10.6, 10, 9.4, 8.9, 8.3, 7.2, 6.7, 6.1, 6.7,
8.9, 11.1, 12.2, 13.3, 14.4, 15, 15.6, 15.6, 14.4, 12.8,
12.2, 11.7, 10.6, 10, 10, 9.4, 9.4, 8.3, 8.3, 7.8, 7.2, 6.1,
6.1, 6.1, 6.7, 7.8, 8.3, 9.4, 11.7, 12.2, 12.8, 13.3, 12.2,
9.4, 8.3, 7.8, 7.2, 6.1, 5.6, 4.4, 5, 3.9, 3.9, 3.9, 3.9,
3.9, 3.9, 3.3, 7.8, 12.2, 15, 16.1, 17.2, 17.2, 18.3, 17.8,
17.8, 16.1, 14.4, 12.2, 12.2, 11.1, 8.3, 8.9, 8.9, 8.3, 7.2,
7.2, 7.2, 7.2, 6.7, 8.9, 12.2, 15, 18.9, 20, 20.6, 21.7)), row.names = c(NA,
500L), class = "data.frame")