Der*_*ran 9 r ggplot2 gganimate
我一直在玩 gganimate 的新版本，我在课堂上经常使用动画。我正在尝试构建一个图表，显示西班牙的一个站点中一氧化二氮如何随时间变化。我想要动画中的两个功能
我已经能够使用以下数据构建这两个图
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",
?transition_states告诉您哪些“可用于字符串字面解释的变量”。所以这些是您可以用于标题的变量。您需要以下其中一项：
previous_statenext_stateclosest_state视喜好而定。
| 归档时间： |
|
| 查看次数： |
1049 次 |
| 最近记录： |