无法根据在新版本的 gganimate 中使用 transition_states 或 transition_times 来转换标题或转换时间
Can't transition title or transition time depending on using transition_states or transition_times in new version of gganimate
我一直在玩 gganimate 的新版本，我倾向于在我的 类 中大量使用动画。我正在尝试制作一张图表，显示一氧化二氮在西班牙某站随时间的变化情况。我想要动画中的两个功能
- 每年都会停下来一段时间
- 每次标题中都有年份
我已经能够使用以下数据构建这两个图表
Madrid3 <- structure(list(month = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3,
4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5,
6, 7, 8, 9, 10, 11, 12), name = c("Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos"), 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, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017, 2017,
2017, 2017, 2017, 2017, 2017), NO_2 = c(52.7411978235155, 49.9936308697576,
45.3346567988235, 42.7514465030941, 35.8548923634714, 47.1773919094889,
53.7143816896664, 41.9823522292158, 63.525647942449, 72.838654011127,
67.8730001012484, 74.422916644363, 72.6258411843876, 82.929955290611,
54.8495702005731, 52.7180555555556, 46.2647849462366, 50.0291666666667,
41.483039348711, 39.4808510638298, 57.9651324965132, 58.7177419354839,
51.3212795549374, 54.7997311827957, 65.4245283018868, 52.0502873563218,
46.5370121130552, 28.3212795549374, 35.5846774193548, 28.4361111111111,
31.822102425876, 26.3978494623656, 39.7367688022284, 57.5685483870968,
50.7777777777778, 59.7415881561238, 52.8936742934051, 48.1741071428571,
34.8891891891892, 36.7805555555556, 34.9381720430108, 33.1390820584145,
38.257065948856, 29.1467025572005, 46.3147632311978, 48.7190860215054,
48.9763560500695, 66.9152086137281, 45.5302826379542, 40.3288690476191,
46.7063599458728, 36.5340751043115, 34.25, 34.5805555555556,
33.1009421265141, 25.4072580645161, 38.3157162726008, 52.9743243243243,
47.8969359331476, 66.6617250673854, 70.5094594594595, 39.5111773472429,
47.6205962059621, 30.6193820224719, 32.2088948787062, 35.2154929577465,
35.3301886792453, 24.688679245283, 37.933147632312, 46.2293080054274,
65.5738161559889, 73.0350404312669, 44.7102425876011, 39.2126436781609,
37.7466307277628, 34.9527777777778, 32.7379032258064, 33.7051460361613,
35.6263440860215, 28.3189771197847, 46.3207810320781, 55.5389784946237,
54.9066852367688, 66.5080862533693, 59.8812415654521, 46.010447761194,
43.7183288409704, 34.3513888888889, 33.4, 35.7649513212796, 33.9986486486486,
26.2876344086022, 43.5251396648045, 59.6370967741936, 73.4442896935933,
60.0040431266846), n = c(743L, 672L, 744L, 720L, 744L, 720L,
744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L, 720L, 720L, 744L,
720L, 744L, 720L, 720L, 744L, 720L, 744L, 743L, 696L, 744L, 720L,
744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L, 744L,
720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L,
744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L,
672L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L,
743L, 696L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L,
744L, 743L, 672L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L,
720L, 744L)), row.names = c(NA, -96L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = c("month", "name"), .Names = c("month",
"name", "year", "NO_2", "n"), indices = list(c(0L, 12L, 24L,
36L, 48L, 60L, 72L, 84L), c(1L, 13L, 25L, 37L, 49L, 61L, 73L,
85L), c(2L, 14L, 26L, 38L, 50L, 62L, 74L, 86L), c(3L, 15L, 27L,
39L, 51L, 63L, 75L, 87L), c(4L, 16L, 28L, 40L, 52L, 64L, 76L,
88L), c(5L, 17L, 29L, 41L, 53L, 65L, 77L, 89L), c(6L, 18L, 30L,
42L, 54L, 66L, 78L, 90L), c(7L, 19L, 31L, 43L, 55L, 67L, 79L,
91L), c(8L, 20L, 32L, 44L, 56L, 68L, 80L, 92L), c(9L, 21L, 33L,
45L, 57L, 69L, 81L, 93L), c(10L, 22L, 34L, 46L, 58L, 70L, 82L,
94L), c(11L, 23L, 35L, 47L, 59L, 71L, 83L, 95L)), group_sizes = c(8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L), biggest_group_size = 8L, labels = structure(list(
month = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12), name = c("Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos")), row.names = c(NA,
-12L), class = "data.frame", vars = c("month", "name"), .Names = c("month",
"name")))
使用transition_time
当我使用过渡时间时，使用以下代码：
ggplot(Madrid2,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_time(year) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
我得到了这张图片，这很好，因为我将年份作为标题，但我希望 gif 每年停止一段时间。它遵循条件 2 但不是我列表中的条件 1
所以我尝试以下代码：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_time(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
但出现以下错误：
Error in transition_time(year, state_length = 2, transition_length = 1) :
unused arguments (state_length = 2, transition_length = 1)
所以我尝试使用 transition_states 而不是 transition_times
使用过渡状态
对于 transtition_states 我有一个不同的问题，如果我这样做它工作正常：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear')
这给了我下面的图表：
在这种情况下，我有我想要的过渡暂停（条件 1），但我无法让标题工作（条件 2），我已经尝试过：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
这给了我以下错误：
Error in eval(parse(text = text, keep.source = FALSE), envir) :
object 'frame_time' not found
那么我可能会将 frame_time 更改为 frame_states
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_states,0)}', x = 'Month', y = 'NO_2')
但它给我以下错误：
Error in eval(parse(text = text, keep.source = FALSE), envir) :
object 'frame_states' not found
我不确定还能尝试什么
?transition_states 告诉您哪些 " 变量 [是] 可用于字符串
字面解释。所以这些是您可以用于标题的变量。您需要以下之一：
previous_statenext_stateclosest_state
取决于偏好。
我一直在玩 gganimate 的新版本，我倾向于在我的 类 中大量使用动画。我正在尝试制作一张图表，显示一氧化二氮在西班牙某站随时间的变化情况。我想要动画中的两个功能
- 每年都会停下来一段时间
- 每次标题中都有年份
我已经能够使用以下数据构建这两个图表
Madrid3 <- structure(list(month = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3,
4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5,
6, 7, 8, 9, 10, 11, 12), name = c("Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos"), 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, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017, 2017,
2017, 2017, 2017, 2017, 2017), NO_2 = c(52.7411978235155, 49.9936308697576,
45.3346567988235, 42.7514465030941, 35.8548923634714, 47.1773919094889,
53.7143816896664, 41.9823522292158, 63.525647942449, 72.838654011127,
67.8730001012484, 74.422916644363, 72.6258411843876, 82.929955290611,
54.8495702005731, 52.7180555555556, 46.2647849462366, 50.0291666666667,
41.483039348711, 39.4808510638298, 57.9651324965132, 58.7177419354839,
51.3212795549374, 54.7997311827957, 65.4245283018868, 52.0502873563218,
46.5370121130552, 28.3212795549374, 35.5846774193548, 28.4361111111111,
31.822102425876, 26.3978494623656, 39.7367688022284, 57.5685483870968,
50.7777777777778, 59.7415881561238, 52.8936742934051, 48.1741071428571,
34.8891891891892, 36.7805555555556, 34.9381720430108, 33.1390820584145,
38.257065948856, 29.1467025572005, 46.3147632311978, 48.7190860215054,
48.9763560500695, 66.9152086137281, 45.5302826379542, 40.3288690476191,
46.7063599458728, 36.5340751043115, 34.25, 34.5805555555556,
33.1009421265141, 25.4072580645161, 38.3157162726008, 52.9743243243243,
47.8969359331476, 66.6617250673854, 70.5094594594595, 39.5111773472429,
47.6205962059621, 30.6193820224719, 32.2088948787062, 35.2154929577465,
35.3301886792453, 24.688679245283, 37.933147632312, 46.2293080054274,
65.5738161559889, 73.0350404312669, 44.7102425876011, 39.2126436781609,
37.7466307277628, 34.9527777777778, 32.7379032258064, 33.7051460361613,
35.6263440860215, 28.3189771197847, 46.3207810320781, 55.5389784946237,
54.9066852367688, 66.5080862533693, 59.8812415654521, 46.010447761194,
43.7183288409704, 34.3513888888889, 33.4, 35.7649513212796, 33.9986486486486,
26.2876344086022, 43.5251396648045, 59.6370967741936, 73.4442896935933,
60.0040431266846), n = c(743L, 672L, 744L, 720L, 744L, 720L,
744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L, 720L, 720L, 744L,
720L, 744L, 720L, 720L, 744L, 720L, 744L, 743L, 696L, 744L, 720L,
744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L, 744L,
720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L, 672L,
744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L, 743L,
672L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L, 744L,
743L, 696L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L, 720L,
744L, 743L, 672L, 744L, 720L, 744L, 720L, 744L, 744L, 720L, 744L,
720L, 744L)), row.names = c(NA, -96L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = c("month", "name"), .Names = c("month",
"name", "year", "NO_2", "n"), indices = list(c(0L, 12L, 24L,
36L, 48L, 60L, 72L, 84L), c(1L, 13L, 25L, 37L, 49L, 61L, 73L,
85L), c(2L, 14L, 26L, 38L, 50L, 62L, 74L, 86L), c(3L, 15L, 27L,
39L, 51L, 63L, 75L, 87L), c(4L, 16L, 28L, 40L, 52L, 64L, 76L,
88L), c(5L, 17L, 29L, 41L, 53L, 65L, 77L, 89L), c(6L, 18L, 30L,
42L, 54L, 66L, 78L, 90L), c(7L, 19L, 31L, 43L, 55L, 67L, 79L,
91L), c(8L, 20L, 32L, 44L, 56L, 68L, 80L, 92L), c(9L, 21L, 33L,
45L, 57L, 69L, 81L, 93L), c(10L, 22L, 34L, 46L, 58L, 70L, 82L,
94L), c(11L, 23L, 35L, 47L, 59L, 71L, 83L, 95L)), group_sizes = c(8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L), biggest_group_size = 8L, labels = structure(list(
month = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12), name = c("Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos",
"Cuatro Caminos", "Cuatro Caminos", "Cuatro Caminos")), row.names = c(NA,
-12L), class = "data.frame", vars = c("month", "name"), .Names = c("month",
"name")))
使用transition_time
当我使用过渡时间时，使用以下代码：
ggplot(Madrid2,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_time(year) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
我得到了这张图片，这很好，因为我将年份作为标题，但我希望 gif 每年停止一段时间。它遵循条件 2 但不是我列表中的条件 1
所以我尝试以下代码：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_time(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
但出现以下错误：
Error in transition_time(year, state_length = 2, transition_length = 1) :
unused arguments (state_length = 2, transition_length = 1)
所以我尝试使用 transition_states 而不是 transition_times
使用过渡状态
对于 transtition_states 我有一个不同的问题，如果我这样做它工作正常：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear')
这给了我下面的图表：
在这种情况下，我有我想要的过渡暂停（条件 1），但我无法让标题工作（条件 2），我已经尝试过：
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_time,0)}', x = 'Month', y = 'NO_2')
这给了我以下错误：
Error in eval(parse(text = text, keep.source = FALSE), envir) :
object 'frame_time' not found
那么我可能会将 frame_time 更改为 frame_states
ggplot(Madrid3,aes(x = month, y = NO_2)) + stat_smooth(method = "lm", formula = y ~ x + I(x^2), alpha = 0.5,aes(fill = name)) + geom_point() +
# Here comes the gganimate code
transition_states(year, state_length = 2, transition_length = 1) +
enter_fade() +
exit_shrink() +
ease_aes('linear') + labs(title = 'Year: {round(frame_states,0)}', x = 'Month', y = 'NO_2')
但它给我以下错误：
Error in eval(parse(text = text, keep.source = FALSE), envir) :
object 'frame_states' not found
我不确定还能尝试什么
?transition_states 告诉您哪些 " 变量 [是] 可用于字符串
字面解释。所以这些是您可以用于标题的变量。您需要以下之一：
previous_statenext_stateclosest_state
取决于偏好。