如何在ggplot 2中平滑geom_ribbon / geom_area图形？

sg24os4d  于 2023-03-10  发布在  其他
关注(0)|答案(1)|浏览(162)

我在geom_ribbon图中平滑线时遇到困难。目前它看起来如下所示：

geom_ribbon(aes(ymin=0, ymax=normalized_gfp_mean),fill = "#90d850", color = "#266825", alpha = 0.4, size = 0.5)

有没有可能用同样的填充在下面的图上做一个轻微的平滑？
(This是我需要在一个巨大的数据集中对大量的图进行处理的事情，所以一个容易应用的方法将会很感激）
先谢谢你了。
示例数据如下所示：

structure(list(time = c(0.24, 0.573203883495146, 1.23961165048544, 
1.57281553398058, 2.23922330097087, 2.57242718446602, 3.23883495145631, 
3.57203883495146, 4.23844660194175, 4.57165048543689, 5.23805825242718, 
5.57126213592233, 6.23766990291262, 6.57087378640777, 7.23728155339806, 
7.5704854368932, 8.2368932038835, 8.57009708737864, 9.23650485436893, 
9.56970873786408, 10.2361165048544, 10.5693203883495, 11.2357281553398, 
11.568932038835, 12.2353398058252, 12.5685436893204, 13.2349514563107, 
13.5681553398058, 14.2345631067961, 14.5677669902913, 15.2341747572816, 
15.5673786407767, 16.233786407767, 16.5669902912621, 17.2333980582524, 
17.5666019417476, 18.2330097087379, 18.566213592233, 19.2326213592233, 
19.5658252427184, 20.2322330097087, 20.5654368932039, 21.2318446601942, 
21.5650485436893, 22.2314563106796, 22.5646601941748, 23.231067961165, 
23.5642718446602, 24.2306796116505, 24.5638834951456, 25.2302912621359, 
25.5634951456311, 26.2299029126214, 26.5631067961165, 27.2295145631068, 
27.5627184466019, 28.2291262135922, 28.5623300970874, 29.2287378640777, 
29.5619417475728, 30.2283495145631, 30.5615533980583, 31.2279611650485, 
31.5611650485437, 32.227572815534, 32.5607766990291, 33.2271844660194, 
33.5603883495146, 34.2267961165049, 34.56, 35.2264077669903, 
35.5596116504854, 36.2260194174757, 36.5592233009709, 37.2256310679612, 
37.5588349514563, 38.2252427184466, 38.5584466019417, 39.224854368932, 
39.5580582524272, 40.2244660194175, 40.5576699029126, 41.2240776699029, 
41.5572815533981, 42.2236893203884, 42.5568932038835, 43.2233009708738, 
43.5565048543689, 44.2229126213592, 44.5561165048544, 45.2225242718447, 
45.5557281553398, 46.2221359223301, 46.5553398058252, 47.2217475728155, 
47.5549514563107, 48.221359223301, 48.5545631067961, 49.2209708737864, 
49.5541747572816, 50.2205825242718, 50.553786407767, 51.2201941747573, 
51.5533980582524, 52.2198058252427, 52.5530097087379, 53.2194174757282, 
53.5526213592233, 54.2190291262136, 54.5522330097087, 55.218640776699, 
55.5518446601942, 56.2182524271845, 56.5514563106796, 57.2178640776699, 
57.551067961165, 58.2174757281553, 58.5506796116505, 59.2170873786408, 
59.5502912621359, 60.2166990291262, 60.5499029126214, 61.2163106796117, 
61.5495145631068, 62.2159223300971, 62.5491262135922, 63.2155339805825, 
63.5487378640777, 64.215145631068, 64.5483495145631, 65.2147572815534, 
65.5479611650485, 66.2143689320388, 66.547572815534, 67.2139805825243, 
67.5471844660194, 68.2135922330097, 68.5467961165049), media = c("IO+CasA_gfp", 
"IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", 
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"IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", "IO+CasA_gfp", 
"IO+CasA_gfp", "IO+CasA_gfp"), normalized_gfp_mean = c(0.01, 
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2.34, 2.67, 11.6733333333333, 21.6733333333333, 0.01, 0.01, 0.01, 
1.00666666666667, 0.34, 13.34, 0.01, 5.67333333333333, 7.00666666666667, 
2.00666666666667, 3.67333333333333, 0.01, 8.34, 17.0066666666667, 
4.95634920634921, 417.571428571429, 1895.9, 2943.01851851852, 
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r

1条答案

按热度按时间
0sgqnhkj

0sgqnhkj1#

用途：geom_area(stat = "smooth", method = "loess")

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