r - ggplot scale_alpha_manual 用于数据中的离散和连续变量
问题描述
我有一些看起来像这样的数据：
variable value rfvalue stdfvalue mean_value model
1 Protocol Active 0.7975318 0.000000 0.00000000 0.8833071 2013-07-24 to 2019-07-22
2 Protocol Active 0.2716946 0.000000 0.00000000 0.3929385 2011-10-12 to 2017-10-10
3 Wind 0.7384344 1.806452 0.07128713 0.2818933 2010-01-01 to 2015-12-31
4 Protocol Active 1.2555754 0.000000 0.00000000 0.8833071 2013-07-24 to 2019-07-22
5 Protocol Active 0.8638037 0.000000 0.00000000 0.8833071 2013-07-24 to 2019-07-22
6 Wind -0.4009561 13.419355 0.54027120 0.4125869 2013-07-24 to 2019-07-22
我可以使用以下内容来绘制数据：
d %>%
ggplot() +
coord_flip() +
ggforce::geom_sina(aes(
x = variable,
y = value,
color = stdfvalue,
alpha = value),
method = "counts", maxwidth = 1, size = 1) +
facet_wrap(~model) +
scale_color_gradient(
low = "darkblue",
high = "darkred",
breaks = c(0, 1),
labels = c(" Low", " High"),
guide = guide_colorbar(barwidth = 12, barheight = 0.3))
但是，在我的完整数据集上，该图如下所示：
（我将 更改darkblue为yellow）。该Wind变量看起来不错，它是一个连续变量，但是该Protocol Active变量“隐藏”了我想要显示的一些数据。它是 (0,1) 的离散变量，我想更加强调 1 的值。我尝试添加scale_alpha_manual(values = c(1, 0.1), guide = FALSE)返回错误的值。我似乎也无法scale_alpha_manual同时使用离散和连续。
一种尝试是创建两个geom_sina图并根据两个变量过滤它们——我希望对它们中的每一个应用不同的 alpha 值。我无法让它工作。
ggplot() +
coord_flip() +
ggforce::geom_sina(aes(
x = variable,
y = value,
color = stdfvalue),
method = "counts", maxwidth = 1, size = 1, data = d %>% filter(variable == "Protocol Active")
) +
ggforce::geom_sina(aes(
x = variable,
y = value,
color = stdfvalue,
alpha = 0.1),
method = "counts", maxwidth = 1, size = 1, data = d %>%
filter(variable == "Wind")
) +
facet_wrap(~model) +
scale_color_gradient(
low = "yellow",
high = "blue1",
breaks = c(0, 1),
labels = c(" Low", " High"),
guide = guide_colorbar(barwidth = 12, barheight = 0.3))
我的问题是，如何设置离散变量的 alpha，以便我可以更强调地显示某个类。知道我们是否可以设置scale_alpha_continuous和scale_alpha_discrete在相同的情节上会很有趣。我也愿意听到任何其他解决方法。
数据：
d <- structure(list(variable = c("Wind", "Wind", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Wind", "Protocol Active",
"Wind", "Wind", "Wind", "Wind", "Wind", "Protocol Active", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Protocol Active",
"Protocol Active", "Wind", "Protocol Active", "Wind", "Wind",
"Protocol Active", "Protocol Active", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Wind", "Protocol Active", "Protocol Active",
"Protocol Active", "Protocol Active", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Protocol Active", "Wind", "Wind",
"Protocol Active", "Wind", "Protocol Active", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Protocol Active",
"Protocol Active", "Protocol Active", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Protocol Active", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Wind", "Wind",
"Wind", "Wind", "Protocol Active", "Wind", "Protocol Active",
"Wind", "Wind", "Protocol Active", "Protocol Active", "Wind",
"Protocol Active", "Wind", "Protocol Active", "Wind", "Wind",
"Protocol Active", "Protocol Active", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Protocol Active",
"Wind", "Wind", "Wind", "Wind", "Wind", "Protocol Active", "Wind",
"Protocol Active", "Protocol Active", "Protocol Active", "Wind",
"Protocol Active", "Wind", "Wind", "Protocol Active", "Wind",
"Wind", "Wind", "Wind", "Protocol Active", "Wind", "Protocol Active",
"Protocol Active", "Protocol Active", "Protocol Active", "Wind",
"Wind", "Protocol Active", "Wind", "Wind", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Wind", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Protocol Active",
"Protocol Active", "Wind", "Wind", "Protocol Active", "Wind",
"Wind", "Protocol Active", "Wind", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Wind", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Protocol Active", "Wind", "Wind",
"Wind", "Wind", "Protocol Active", "Wind", "Protocol Active",
"Protocol Active", "Protocol Active", "Protocol Active", "Wind",
"Wind", "Wind", "Wind", "Wind", "Protocol Active", "Protocol Active",
"Wind", "Wind", "Wind", "Protocol Active", "Wind", "Protocol Active",
"Wind", "Protocol Active", "Wind", "Wind", "Wind", "Protocol Active",
"Protocol Active", "Protocol Active", "Protocol Active", "Wind",
"Wind", "Protocol Active", "Protocol Active", "Wind", "Protocol Active"
), value = c(-0.0989474654197693, 0.629822552204132, -0.0962040945887566,
1.29249930381775, 0, 0.434465348720551, -0.28844028711319, 0.217110589146614,
0, 0.315992414951324, 0.538330733776093, -0.096613846719265,
0.845123291015625, 0, -0.398098558187485, -0.275375932455063,
0.623717963695526, 0.767583787441254, -0.220980376005173, 0,
0.856497704982758, -0.0572838261723518, 0, 0, 0.503492951393127,
0.283374071121216, -0.0997775197029114, 0, -0.185573473572731,
0.541458964347839, 0.828957080841064, 0.298303335905075, -0.0101631181314588,
0, -0.15062090754509, 0.81750363111496, 0.598546028137207, 0,
0.826459050178528, 0.250531941652298, 0, -0.297038346529007,
0.415378659963608, 0, -0.242933213710785, 0.753650367259979,
-0.161409094929695, -0.752240180969238, 0, 0.736700534820557,
0, -0.0983792245388031, 1.13214647769928, 0.286624670028687,
0.849360644817352, 0.906382441520691, 0.768399834632874, 0.542866706848145,
-0.312404543161392, 0, 0.483780354261398, 0, 0.791863441467285,
0.487868845462799, -0.336384683847427, 0.365867704153061, 0.458498805761337,
-0.326053828001022, 0.786870658397675, 0.625235676765442, 1.05334162712097,
1.27674341201782, -0.402126729488373, 1.35678279399872, 0, -0.0197668727487326,
0.977747678756714, 0.666797459125519, -0.267341256141663, 0.655228078365326,
0.0420738272368908, 0.430610090494156, 0, -0.122896425426006,
0.267312049865723, -0.18688802421093, 0.650719821453094, 0, 0,
0.00512066995725036, 0.715728044509888, 0.593662261962891, 0.810122668743134,
0.635514199733734, 0.599373757839203, 0, 0, -0.549852848052979,
1.05160856246948, -0.0583889335393906, 0.485096544027328, 0,
1.2462295293808, -0.339758694171906, -0.306385368108749, -0.29257345199585,
-0.198688685894012, -0.140972256660461, 0, -0.0293861590325832,
0.26350411772728, 0, 0.714957416057587, -0.100245490670204, 0,
-0.0799269378185272, -0.141207844018936, 0, -0.260594755411148,
-0.495336472988129, 0.0901876837015152, -0.392557889223099, 0.269983738660812,
-0.415697365999222, 0.537323653697968, 1.01686215400696, 0.707460880279541,
0.279224544763565, 0.56487512588501, -0.134432524442673, 0.54803729057312,
0.477457016706467, -0.189187243580818, 0.871891617774963, 0.69837349653244,
-0.58046156167984, 0.443165421485901, -0.421287506818771, 1.06587362289429,
0.272987455129623, 0.540521800518036, 0, 0, 0.536158978939056,
0, 0.0309308655560017, 0.625024020671844, 0, -0.286852031946182,
0.626144170761108, 0.507866978645325, 0.529027938842773, -0.101144313812256,
0, 0.777739226818085, 0, -0.414799422025681, 1.35438084602356,
0.860056400299072, 0.590310633182526, 0.667994678020477, 0.537133276462555,
-0.0919286012649536, -0.29287400841713, 0.899238407611847, 0.0362688936293125,
0, -0.550533652305603, 0, 0.5471071600914, 1.18974375724792,
0.381776362657547, 0.682958662509918, -0.35002875328064, -0.254838764667511,
0.856454491615295, 0.0177191141992807, 0.781686365604401, 0.759931743144989,
1.08820796012878, 0.626882433891296, -0.242740288376808, 0.770202159881592,
0.904597997665405, 0.892723023891449, -0.386538952589035, 0,
-0.393929898738861, -0.103308126330376, -0.377305179834366, 0.483622252941132,
0.743905782699585, 0.778063476085663, 0, -0.440237790346146,
-0.12215880304575, 0.73518306016922, 0, -0.288508862257004, 1.30829179286957
), rfvalue = c(3.96153846153846, 2.03703703703704, 4.83870967741935,
0, 0, 2.48387096774194, 12.4117647058824, 2.87096774193548, 0,
0, 3.1875, 4.375, 3.11538461538462, 0, 11.3636363636364, 8.20833333333333,
0.653846153846154, 0.935483870967742, 4.51612903225806, 0, 0,
3.80645161290323, 0, 0, 0, 0, 4.16129032258065, 0, 6.0625, 2.83870967741935,
0, 0, 3.7, 0, 7.58064516129032, 0, 1.96551724137931, 0, 0, 0,
0, 11.8064516129032, 0, 0, 8.48387096774194, 0, 4.06451612903226,
24.5, 0, 1.23076923076923, 0, 7.55555555555556, 0, 0, 0.612903225806452,
0.566666666666667, 2.07142857142857, 0, 10.3548387096774, 0,
0, 0, 0, 0, 5.55555555555556, 0, 0, 10.6363636363636, 2.2, 2.87096774193548,
0, 0, 12.9259259259259, 0, 0, 3.73076923076923, 0, 0, 8.83870967741935,
1.07407407407407, 3.32258064516129, 2.7037037037037, 0, 4.66666666666667,
0, 6.59375, 1.48148148148148, 0, 0, 3.57575757575758, 0, 0.259259259259259,
0, 1.96296296296296, 1.88888888888889, 0, 0, 13.6818181818182,
0, 4.24, 0, 0, 1, 11.3214285714286, 10.741935483871, 5.54838709677419,
3.94117647058824, 6.44117647058824, 0, 7.16129032258065, 0, 0,
0, 3.96774193548387, 0, 4.48387096774194, 4.16129032258065, 0,
5.12121212121212, 15.7741935483871, 3.78787878787879, 7, 0, 7.52,
0, 0, 1, 0, 2.51612903225806, 5.24242424242424, 0, 2.21875, 5.16129032258065,
0, 0, 15.962962962963, 1.96875, 11.8666666666667, 0.407407407407407,
0, 1.87096774193548, 0, 0, 0, 0, 3.42424242424242, 2.2, 0, 6.87096774193548,
2.41666666666667, 0, 1.74193548387097, 8.04761904761905, 0, 2.16129032258065,
0, 13.4516129032258, 0.555555555555556, 0, 2.14285714285714,
0, 0, 4.32352941176471, 4.56521739130435, 1.88888888888889, 3.64705882352941,
0, 20.2222222222222, 0, 0, 0, 0, 2.38709677419355, 11.6774193548387,
9.41935483870968, 0.407407407407407, 3.09677419354839, 0, 0,
0.807692307692308, 2.72, 6.09677419354839, 0, 0.833333333333333,
0, 9.125, 0, 14, 4.70588235294118, 6.43333333333333, 0, 0, 0,
0, 13.0645161290323, 5.61290322580645, 0, 0, 11.8076923076923,
0), stdfvalue = c(0.157298598329322, 0.0798326069229873, 0.195379537953795,
0, 1, 0.099009900990099, 0.505299941758882, 0.113583763574862,
1, 0, 0.125955684553306, 0.174040775874274, 0.123035537307093,
1, 0.457029590825428, 0.329599628113069, 0.0233611779697013,
0.035250133523233, 0.180167349118747, 1, 0, 0.151018711778327,
1, 1, 0, 0, 0.167656765676568, 1, 0.242752655628746, 0.111832219700118,
0, 0, 0.148778877887789, 1, 0.304195596700493, 0, 0.0769380308955367,
1, 0, 0, 1, 0.480528052805281, 0, 1, 0.340751290724586, 0, 0.1618895021067,
0.988956534050687, 1, 0.0467223559394025, 1, 0.306563989732307,
0, 0, 0.0221945285146282, 0.0205500550055006, 0.0807629295523958,
0, 0.416180641507538, 1, 0, 1, 0, 0, 0.221844667830793, 0, 0,
0.427867782327458, 0.0859691349285006, 0.113138436102725, 0,
0, 0.520531807102337, 0, 1, 0.15003808073115, 0, 0, 0.355112456234051,
0.0403773446389898, 0.133333333333333, 0.108006356191175, 1,
0.188338833883388, 0, 0.264253605127292, 0.0573479538526123,
1, 1, 0.141677285383926, 0, 0.00738328587684385, 0, 0.0768346531802707,
0.073836699437554, 1, 1, 0.550899051394591, 0, 0.168574260229364,
0, 1, 1, 0.460678925035361, 0.43214052578482, 0.221554397519102,
0.156897653132822, 0.258078591949509, 1, 0.29042904290429, 0,
1, 0, 0.15973597359736, 1, 0.180858085808581, 0.167656765676568,
1, 0.204256925763368, 0.635807963919055, 0.152375237523752, 0.280334135636415,
0, 0.301390344046439, 0, 0, 1, 0, 0.0992225980653967, 0.211901190119012,
0, 0.0881600660066007, 0.206278559135956, 0, 0, 0.643268782020021,
0.0779290429042904, 0.482992299229923, 0.0138776245832207, 0,
0.0731113880481871, 1, 1, 0, 1, 0.137493749374937, 0.086428105156964,
1, 0.275109270025987, 0.094742555099344, 0, 0.0686468646864686,
0.326701241552727, 1, 0.0844016752453723, 1, 0.541577416157806,
0.019873532068654, 0, 0.0850542197076851, 0, 0, 0.171956592349527,
0.181743193248343, 0.0746607994132747, 0.144564466024269, 1,
0.824935826916025, 1, 0, 0, 0, 0.093545190063621, 0.469735514014423,
0.382838283828383, 0.0138776245832207, 0.124092409240924, 0,
0, 0.0304138106118304, 0.107473740430835, 0.24413981366091, 0,
0.0314631463146315, 0, 0.366699305679188, 1, 0.57029702970297,
0.189943700252378, 0.257388267497286, 0, 0, 0, 1, 0.526140881846775,
0.227062706270627, 0, 1, 0.475010618717259, 0), mean_value = c(0.412586940491501,
0.357086707604185, 0.281893344972611, 0.88330711205256, 0, 0.281893344972611,
0.281893344972611, 0.357086707604185, 0, 0.392938510590492, 0.412586940491501,
0.412586940491501, 0.412586940491501, 0, 0.412586940491501, 0.357086707604185,
0.412586940491501, 0.357086707604185, 0.357086707604185, 0, 0.88330711205256,
0.412586940491501, 0, 0, 0.392938510590492, 0.392938510590492,
0.281893344972611, 0, 0.357086707604185, 0.412586940491501, 0.88330711205256,
0.392938510590492, 0.281893344972611, 0, 0.357086707604185, 0.88330711205256,
0.357086707604185, 0, 0.88330711205256, 0.392938510590492, 0,
0.281893344972611, 0.392938510590492, 0, 0.357086707604185, 0.88330711205256,
0.357086707604185, 0.412586940491501, 0, 0.412586940491501, 0,
0.281893344972611, 0.88330711205256, 0.392938510590492, 0.357086707604185,
0.281893344972611, 0.412586940491501, 0.392938510590492, 0.412586940491501,
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0.412586940491501, 0.392938510590492, 0.392938510590492, 0.357086707604185,
0.412586940491501, 0.412586940491501, 0.88330711205256, 0.88330711205256,
0.357086707604185, 0.88330711205256, 0, 0.281893344972611, 0.88330711205256,
0.392938510590492, 0.357086707604185, 0.412586940491501, 0.281893344972611,
0.281893344972611, 0, 0.281893344972611, 0.392938510590492, 0.357086707604185,
0.357086707604185, 0, 0, 0.412586940491501, 0.88330711205256,
0.412586940491501, 0.88330711205256, 0.357086707604185, 0.357086707604185,
0, 0, 0.412586940491501, 0.88330711205256, 0.412586940491501,
0.392938510590492, 0, 0.88330711205256, 0.281893344972611, 0.357086707604185,
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0.392938510590492, 0, 0.88330711205256, 0.281893344972611, 0,
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0.392938510590492, 0.88330711205256, 0.392938510590492, 0.412586940491501,
0.412586940491501, 0.281893344972611, 0.357086707604185, 0.281893344972611,
0.88330711205256, 0.88330711205256, 0.281893344972611, 0.357086707604185,
0.357086707604185, 0.88330711205256, 0.281893344972611, 0.88330711205256,
0.357086707604185, 0, 0.281893344972611, 0.281893344972611, 0.412586940491501,
0.392938510590492, 0.88330711205256, 0.88330711205256, 0, 0.357086707604185,
0.281893344972611, 0.88330711205256, 0, 0.412586940491501, 0.88330711205256
), model = c("2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10", "2013-07-24 to 2019-07-22",
"2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2011-10-12 to 2017-10-10", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2010-01-01 to 2015-12-31",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2011-10-12 to 2017-10-10",
"2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22", "2010-01-01 to 2015-12-31",
"2011-10-12 to 2017-10-10", "2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22",
"2010-01-01 to 2015-12-31", "2013-07-24 to 2019-07-22", "2013-07-24 to 2019-07-22"
)), row.names = c(NA, -200L), class = "data.frame")
解决方案
实现所需结果的一种选择是通过scale_alpha_identity. 例如，我alpha向您的数据集添加了一个变量，该变量定义了从特定级别value到特定alpha级别的映射（或中断）。然后将这个新变量映射到alphaggplot 内部的美学上。默认情况下不会显示图例，因此您必须通过指定所需的中断和标签来手动设置它。
关于你的第二个问题。据我所知，不可能混合scale_xxx_discrete和scale_xxx_continuous. 您可以将不同的变量映射到相同的比例，但每个美学只有比例，它是离散的还是连续的。如果您想更好地控制比例，您必须制作两个图并将它们粘合在一起，例如通过patchwork.
# Packages
library(ggplot2)
library(ggforce)
library(dplyr)
# Plot
d %>%
mutate(alpha = case_when(
variable == "Wind" ~ ifelse(value > 1, 1, 0.5),
TRUE ~ ifelse(value > 0, 1, .2)
)) %>%
ggplot() +
coord_flip() +
ggforce::geom_sina(aes(
x = variable,
y = value,
color = stdfvalue,
alpha = alpha
),
method = "counts", maxwidth = 1, size = 1
) +
facet_wrap(~model) +
scale_color_gradient(
low = "yellow",
high = "darkred",
breaks = c(0, 1),
labels = c(" Low", " High"),
guide = guide_colorbar(barwidth = 12, barheight = 0.3)
) +
scale_alpha_identity(breaks = c(.2, .5, 1), labels = c("One", "Two", "Three"), guide = "legend") +
theme(legend.position = "bottom")
由reprex 包于 2020-03-15 创建(v0.3.0)
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