使用 R 为 ggplot2 条形图创建 'horizontal gadient fill'
creating a 'horizontal gadient fill' for ggplot2 bar chart with R
我正在使用 R 并有一个包含两列的简单 data.frame。一列是 coverage，另一列是 uniqueness。我需要生成一个如下图所示的图，其中 x 轴为 1:length(df)，y 轴为 coverage。我可以用这个简单的代码构建它，但我需要添加一个功能，其中 uniqueness 显示为沿 x 轴的渐变。我尝试了一些方法，我认为使用 fill 或 scale_colour_gradient() 应该是答案，但它对我不起作用。
# barplot
library(ggplot2)
library(graphics)
barplot(df)
# more about barplot() function
?barplot()
编辑：当前情节
dput(newData)
structure(list(coverage = c(3.36729582998647, 3.36729582998647,
3.36729582998647, 3.36729582998647, 3.36729582998647, 3.36729582998647,
3.36729582998647, 3.93182563272433, 3.95124371858143, 3.95124371858143,
3.93182563272433, 3.93182563272433, 3.93182563272433, 3.91202300542815,
3.91202300542815, 3.91202300542815, 3.91202300542815, 3.93182563272433,
3.36729582998647, 3.36729582998647, 3.36729582998647, 4.27666611901606,
4.27666611901606, 4.29045944114839, 4.29045944114839, 4.29045944114839,
4.29045944114839, 4.29045944114839, 4.29045944114839, 3.97029191355212,
4.20469261939097, 4.20469261939097, 5.17048399503815, 5.17048399503815,
5.16478597392351, 5.12396397940326, 5.24702407216049, 5.31811999384422,
5.03695260241363, 5.03695260241363, 3.55534806148941, 3.55534806148941,
3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941,
3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941,
3.55534806148941, 3.55534806148941, 3.55534806148941, 3.58351893845611,
3.58351893845611, 3.58351893845611, 3.58351893845611, 3.58351893845611,
4.66343909411207, 4.66343909411207, 4.67282883446191, 4.67282883446191,
4.67282883446191, 4.67282883446191, 4.68213122712422, 4.68213122712422,
4.68213122712422, 4.54329478227, 4.52178857704904, 4.52178857704904,
4.52178857704904, 4.52178857704904, 4.52178857704904, 4.52178857704904,
4.52178857704904, 3.71357206670431, 4.18965474202643, 4.47733681447821,
4.47733681447821, 4.51085950651685, 4.51085950651685, 4.52178857704904,
4.53259949315326, 4.53259949315326, 4.55387689160054, 4.56434819146784,
5.23110861685459, 5.2257466737132, 5.2257466737132, 5.22035582507832,
5.2040066870768, 5.20948615284142, 5.2040066870768, 5.2040066870768,
5.29330482472449, 5.28826703069454, 5.28826703069454, 5.31811999384422,
5.31811999384422, 5.31320597904179, 5.30826769740121, 5.31320597904179,
5.39816270151775, 5.39816270151775, 5.39816270151775, 5.5834963087817,
6.10479323241498, 6.10702288774225, 6.10924758276437, 6.10702288774225,
6.10924758276437, 6.11809719804135, 6.1527326947041, 6.1527326947041,
6.19031540585315, 6.14418563412565, 6.18620862390049, 6.18208490671663,
6.18208490671663, 6.16961073249146, 6.20455776256869, 6.22257626807137,
6.22455842927536, 6.23244801655052, 6.2363695902037, 6.27476202124194,
6.27476202124194, 6.27664348934164, 6.22653666928747, 6.23048144757848,
6.23048144757848, 6.25958146406492, 6.26339826259162, 6.33505425149806,
6.33682573114644, 6.33859407820318, 6.34388043412633, 6.34738920965601,
6.3456363608286, 6.36302810354046, 6.361302477573, 6.36302810354046,
6.36818718635049, 6.36990098282823, 6.35088571671474, 6.35437004079735,
6.35610766069589, 6.35610766069589, 6.36647044773144, 6.31716468674728,
6.32076829425058, 6.32256523992728, 6.32256523992728, 6.31896811374643,
6.23441072571837, 6.23441072571837, 6.25190388316589, 6.21060007702465,
6.20657592672493, 6.27476202124194, 6.27287700654617, 6.27287700654617,
6.2709884318583, 6.26909628370626, 6.26339826259162, 6.26339826259162,
6.25766758788264, 6.22257626807137, 6.19440539110467, 6.28226674689601,
6.28226674689601, 6.28226674689601, 6.29156913955832, 6.29526600143965,
11.0455902722788, 11.0605574107758, 11.0683712350503, 11.071750274228,
11.0739397670939, 11.0765732227783, 11.0778873545197, 11.0833110966291,
11.0838334262309, 11.0849539777208, 11.0965005166257, 11.0927172087879,
11.0931737881036, 11.0867626290829, 11.0878034189527, 11.0857974002258,
11.0760935211126, 11.0667477313608, 10.9871723112865, 10.3838436594859,
10.3461842172496, 10.2861956735217, 10.066838635698, 9.62350906446938,
9.59960834518178, 9.58493381641726, 9.55272367519805, 9.55619700847904,
9.55937621211763, 9.56212336983449, 9.5262454033717, 9.51332968849511,
9.5117774096603, 9.46086560003161, 9.45727857185611, 9.45821555950958,
9.45813751072905, 9.45602788772529, 9.44065812703839, 9.38915578944085,
9.33308883723524, 4.30406509320417, 4.30406509320417, 4.29045944114839,
4.27666611901606, 4.27666611901606, 4.27666611901606, 4.27666611901606,
4.27666611901606, 4.27666611901606, 4.30406509320417, 4.31748811353631,
4.30406509320417, 4.31748811353631, 4.31748811353631, 4.29045944114839,
4.29045944114839, 4.29045944114839, 4.29045944114839, 4.29045944114839,
4.30406509320417, 3.91202300542815, 3.87120101090789, 3.85014760171006,
3.29583686600433, 3.29583686600433, 3.29583686600433, 2.94443897916644,
2.94443897916644, 2.94443897916644, 2.94443897916644, 2.94443897916644,
3.80666248977032, 3.80666248977032, 4.40671924726425, 5.91079664404053,
5.90808293816893, 5.84643877505772, 5.31320597904179, 5.16478597392351,
5.17048399503815, 5.17048399503815, 3.25809653802148, 3.25809653802148,
3.25809653802148, 3.25809653802148, 3.25809653802148, 3.25809653802148,
3.25809653802148, 3.25809653802148, 3.25809653802148, 3.29583686600433,
3.29583686600433, 3.29583686600433, 3.29583686600433, 3.29583686600433,
3.29583686600433, 3.29583686600433, 3.29583686600433, 3.29583686600433,
3.29583686600433, 3.29583686600433, 3.29583686600433, 3.29583686600433,
3.29583686600433, 3.29583686600433, 3.29583686600433, 3.29583686600433,
3.29583686600433, 3.29583686600433, 3.29583686600433, 3.29583686600433,
3.29583686600433, 5.14166355650266, 4.9416424226093, 4.79579054559674,
4.78749174278205, 4.78749174278205, 4.78749174278205, 4.66343909411207,
2.07944154167984, 2.07944154167984, 3.61091791264422, 3.61091791264422,
3.61091791264422, 3.61091791264422, 3.63758615972639, 3.63758615972639,
3.63758615972639, 3.63758615972639, 3.63758615972639, 3.66356164612965,
3.66356164612965, 3.66356164612965, 3.66356164612965, 3.66356164612965,
3.66356164612965, 3.66356164612965, 3.66356164612965, 3.66356164612965,
3.66356164612965, 3.66356164612965, 3.66356164612965, 3.68887945411394,
3.68887945411394, 3.68887945411394, 3.68887945411394, 3.68887945411394,
3.68887945411394, 3.68887945411394, 3.68887945411394, 3.71357206670431,
3.71357206670431, 3.71357206670431, 3.71357206670431, 3.71357206670431,
3.71357206670431, 3.71357206670431, 3.71357206670431, 3.71357206670431,
3.71357206670431, 3.71357206670431, 3.71357206670431, 3.71357206670431,
3.71357206670431, 5.00394630594546, 5.00394630594546, 5.01063529409626,
4.95582705760126, 4.70048036579242, 4.85203026391962, 4.85203026391962,
4.85203026391962, 4.85203026391962, 4.85203026391962, 4.85203026391962,
4.85203026391962, 4.84418708645859, 4.83628190695148, 4.83628190695148,
4.83628190695148, 4.83628190695148, 5.30330490805908, 5.84354441703136,
5.8348107370626, 5.83188247728352, 5.82894561761021, 5.82304589548302,
5.82304589548302, 5.82600010738045, 5.76205138278018, 5.76205138278018,
5.82008293035236, 5.8348107370626, 5.83773044716594, 5.84354441703136,
5.84354441703136, 5.84643877505772, 5.85793315448346, 5.85507192220243,
5.85507192220243, 5.97126183979046, 5.98393628068719, 6.04500531403601,
6.03787091992214, 6.04025471127741, 6.08677472691231, 5.46383180502561,
5.54517744447956, 5.54907608489522, 5.54517744447956, 5.55682806169954,
5.55682806169954, 5.55682806169954, 5.63121178182137, 5.63478960316925,
5.64544689764324, 5.64897423816121, 5.64897423816121, 5.65599181081985,
5.65948221575962, 5.19295685089021, 5.19295685089021, 5.18738580584075,
5.18738580584075, 5.26785815906333), uniqueness = c(1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0.0576132, 0.0669856, 0.0696517, 0.0696517,
0.0696517, 0.07, 0.07, 0.0696517, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0.941176, 0.941176, 0.941176, 0.181818,
0.186047, 0.186047, 0.186047, 0.153846, 0.152381, 0.153846, 0.153846,
0.152381, 0.15534, 0.153846, 0.150943, 0.150943, 0.152381, 0.152381,
0.152381, 0.152381, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
0.894737, 0.894737, 0.894737, 0.894737, 0.894737, 0.894737, 0.894737,
0.894737, 0.894737, 0.894737, 0.894737, 0.894737, 0.894737, 0.894737,
0.894737, 0.894737, 0.894737, 0.894737, 0.894737, 0.809524, 0.85,
0.85, 0.85, 0.85, 0.107595, 0.107595, 0.103896, 0.104575, 0.104575,
0.103896, 0.102564, 0.102564, 0.101911, 0.101266, 0.101266, 0.100629,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.111888, 0.112676, 0.112676,
0.113475, 0.112676, 0.0226629, 0.022792, 0.0249221, 0.0248447,
0.0243902, 0.0242792, 0.0424403, 0.0424403, 0.0425532, 0.0447368,
0.0447368, 0.0445026, 0.0448549, 0.0445026, 0.0445026, 0.466667,
0.466667, 0.705882, 0.705882, 0.705882, 0.705882, 0.705882, 0.705882,
0.705882, 0.705882, 0.705882, 0.705882, 0.705882, 0.705882, 0.705882,
0.705882, 0.705882, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 0.923077, 0.923077, 0.923077, 0.0533808, 0.0535714, 0.0528169,
0.714286, 0.714286, 0.789474, 0.789474, 0.866667, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.894737, 0.100592, 0.1, 0.1,
0.0988372, 0.0988372, 0.0994152, 0.0977011, 0.0977011, 0.0982659,
0.0977011, 0.0977011, 0.0971429, 0.0965909, 0.0923913, 0.0923913,
0.0923913, 0.0913978, 0.0913978, 0.0918919, 0.0923913, 0.0918919,
0.0939227, 0.0939227, 0.0939227, 0.9375, 0.941176, 0.941176,
0.941176, 0.941176, 0.941176, 0.941176, 0.941176, 0.941176, 0.941176,
0.941176, 0.941176, 0.941176, 0.941176, 1, 1, 1, 1, 1)), .Names = c("coverage",
"uniqueness"), row.names = c(NA, -400L), class = "data.frame")
我不知道你的进展如何，但这可能会对你有所帮助，
ggplot(df, aes(1:nrow(df), uniqueness, fill = uniqueness)) +
geom_bar(stat = "identity")
我正在使用 R 并有一个包含两列的简单 data.frame。一列是 coverage，另一列是 uniqueness。我需要生成一个如下图所示的图，其中 x 轴为 1:length(df)，y 轴为 coverage。我可以用这个简单的代码构建它，但我需要添加一个功能，其中 uniqueness 显示为沿 x 轴的渐变。我尝试了一些方法，我认为使用 fill 或 scale_colour_gradient() 应该是答案，但它对我不起作用。
# barplot
library(ggplot2)
library(graphics)
barplot(df)
# more about barplot() function
?barplot()
编辑：当前情节
dput(newData) structure(list(coverage = c(3.36729582998647, 3.36729582998647, 3.36729582998647, 3.36729582998647, 3.36729582998647, 3.36729582998647, 3.36729582998647, 3.93182563272433, 3.95124371858143, 3.95124371858143, 3.93182563272433, 3.93182563272433, 3.93182563272433, 3.91202300542815, 3.91202300542815, 3.91202300542815, 3.91202300542815, 3.93182563272433, 3.36729582998647, 3.36729582998647, 3.36729582998647, 4.27666611901606, 4.27666611901606, 4.29045944114839, 4.29045944114839, 4.29045944114839, 4.29045944114839, 4.29045944114839, 4.29045944114839, 3.97029191355212, 4.20469261939097, 4.20469261939097, 5.17048399503815, 5.17048399503815, 5.16478597392351, 5.12396397940326, 5.24702407216049, 5.31811999384422, 5.03695260241363, 5.03695260241363, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.55534806148941, 3.58351893845611, 3.58351893845611, 3.58351893845611, 3.58351893845611, 3.58351893845611, 4.66343909411207, 4.66343909411207, 4.67282883446191, 4.67282883446191, 4.67282883446191, 4.67282883446191, 4.68213122712422, 4.68213122712422, 4.68213122712422, 4.54329478227, 4.52178857704904, 4.52178857704904, 4.52178857704904, 4.52178857704904, 4.52178857704904, 4.52178857704904, 4.52178857704904, 3.71357206670431, 4.18965474202643, 4.47733681447821, 4.47733681447821, 4.51085950651685, 4.51085950651685, 4.52178857704904, 4.53259949315326, 4.53259949315326, 4.55387689160054, 4.56434819146784, 5.23110861685459, 5.2257466737132, 5.2257466737132, 5.22035582507832, 5.2040066870768, 5.20948615284142, 5.2040066870768, 5.2040066870768, 5.29330482472449, 5.28826703069454, 5.28826703069454, 5.31811999384422, 5.31811999384422, 5.31320597904179, 5.30826769740121, 5.31320597904179, 5.39816270151775, 5.39816270151775, 5.39816270151775, 5.5834963087817, 6.10479323241498, 6.10702288774225, 6.10924758276437, 6.10702288774225, 6.10924758276437, 6.11809719804135, 6.1527326947041, 6.1527326947041, 6.19031540585315, 6.14418563412565, 6.18620862390049, 6.18208490671663, 6.18208490671663, 6.16961073249146, 6.20455776256869, 6.22257626807137, 6.22455842927536, 6.23244801655052, 6.2363695902037, 6.27476202124194, 6.27476202124194, 6.27664348934164, 6.22653666928747, 6.23048144757848, 6.23048144757848, 6.25958146406492, 6.26339826259162, 6.33505425149806, 6.33682573114644, 6.33859407820318, 6.34388043412633, 6.34738920965601, 6.3456363608286, 6.36302810354046, 6.361302477573, 6.36302810354046, 6.36818718635049, 6.36990098282823, 6.35088571671474, 6.35437004079735, 6.35610766069589, 6.35610766069589, 6.36647044773144, 6.31716468674728, 6.32076829425058, 6.32256523992728, 6.32256523992728, 6.31896811374643, 6.23441072571837, 6.23441072571837, 6.25190388316589, 6.21060007702465, 6.20657592672493, 6.27476202124194, 6.27287700654617, 6.27287700654617, 6.2709884318583, 6.26909628370626, 6.26339826259162, 6.26339826259162, 6.25766758788264, 6.22257626807137, 6.19440539110467, 6.28226674689601, 6.28226674689601, 6.28226674689601, 6.29156913955832, 6.29526600143965, 11.0455902722788, 11.0605574107758, 11.0683712350503, 11.071750274228, 11.0739397670939, 11.0765732227783, 11.0778873545197, 11.0833110966291, 11.0838334262309, 11.0849539777208, 11.0965005166257, 11.0927172087879, 11.0931737881036, 11.0867626290829, 11.0878034189527, 11.0857974002258, 11.0760935211126, 11.0667477313608, 10.9871723112865, 10.3838436594859, 10.3461842172496, 10.2861956735217, 10.066838635698, 9.62350906446938, 9.59960834518178, 9.58493381641726, 9.55272367519805, 9.55619700847904, 9.55937621211763, 9.56212336983449, 9.5262454033717, 9.51332968849511, 9.5117774096603, 9.46086560003161, 9.45727857185611, 9.45821555950958, 9.45813751072905, 9.45602788772529, 9.44065812703839, 9.38915578944085, 9.33308883723524, 4.30406509320417, 4.30406509320417, 4.29045944114839, 4.27666611901606, 4.27666611901606, 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我不知道你的进展如何，但这可能会对你有所帮助，
ggplot(df, aes(1:nrow(df), uniqueness, fill = uniqueness)) +
geom_bar(stat = "identity")