绘图中每组不同的alpha值

2024-06-02 • 问答

我有以下data

          mean      lower      upper   x  cat
1   0.02298658 0.02001936 0.02629616   0  A
2   0.02299030 0.02002340 0.02629639   0  B
3   0.02299402 0.02002744 0.02629662   0  C
4   0.02299774 0.02003149 0.02629685   0  D
7   0.03075102 0.02637643 0.03546341   5  A
8   0.03075596 0.02638214 0.03546877   5  B
9   0.03076089 0.02638786 0.03547412   5  C
10  0.03076583 0.02639357 0.03547948   5  D
13  0.04106720 0.03428711 0.04879853  10  A
14  0.04107372 0.03429811 0.04880438  10  B
15  0.04108024 0.03430911 0.04881024  10  C
16  0.04108676 0.03432012 0.04881610  10  D
19  0.05469522 0.04347790 0.06729005  15  A
20  0.05470377 0.04348976 0.06729357  15  B
21  0.05471233 0.04350163 0.06729748  15  C
22  0.05472088 0.04351350 0.06730640  15  D
25  0.07255268 0.05491805 0.09335719  20  A
26  0.07256381 0.05492779 0.09336202  20  B
27  0.07257493 0.05493754 0.09336686  20  C
28  0.07258606 0.05494730 0.09337170  20  D
31  0.09569158 0.06842579 0.12862716  25  A
32  0.09570589 0.06844165 0.12863947  25  B
33  0.09572019 0.06845752 0.12864678  25  C
34  0.09573450 0.06847338 0.12865291  25  D
37  0.12522569 0.08541780 0.17360485  30  A
38  0.12524379 0.08543727 0.17361856  30  B
39  0.12526188 0.08545674 0.17363227  30  C
40  0.12527998 0.08547622 0.17364598  30  D
43  0.16218708 0.10708009 0.23140493  35  A
44  0.16220950 0.10711512 0.23145163  35  B
45  0.16223192 0.10715016 0.23149834  35  C
46  0.16225435 0.10718520 0.23152234  35  D
49  0.20730452 0.13200609 0.30024572  40  A
50  0.20733159 0.13202424 0.30026912  40  B
51  0.20735866 0.13204240 0.30029252  40  C
52  0.20738574 0.13206056 0.30031592  40  D
55  0.26073142 0.16270517 0.37938950  45  A
56  0.26076310 0.16274097 0.37942921  45  B
57  0.26079479 0.16277678 0.37946892  45  C
58  0.26082648 0.16281259 0.37950864  45  D
61  0.32180096 0.19905517 0.46744402  50  A
62  0.32183675 0.19907373 0.46750282  50  B
63  0.32187253 0.19909230 0.46756161  50  C
64  0.32190832 0.19911087 0.46762041  50  D

然后我用这段代码制作一个情节

ggplot(data = data,aes(y = mean,ymin = lower,ymax = upper,x = x,fill = cat)) +
  scale_fill_manual("category",values = c("#11CC66","#2277FF","#AFAFAF","#BA0000"),labels = c("A","B","C","D")) + 
  theme_classic() +
  theme(legend.position = "right") + 
  geom_ribbon(alpha = 0.35) + 
  geom_line() + 
  scale_y_continuous("Predicted probability",labels = scales::percent) +
  xlab("X") +
  labs(title = "Title")

现在，我想为alpha，A，B和C每个类别设置不同的D值（例如，{ {1}}），但使用c(.1,.2,.3,.4)只会产生一条错误消息。

有人可以指出我正确的方向吗？

javacoffin 回答：绘图中每组不同的alpha值

由于行始终为黑色，因此请先在列上设置Alpha：

COLS = c("#11CC66","#2277FF","#AFAFAF","#BA0000")
avalues= c(.1,.2,.3,.4)
fillCOLS = sapply(1:4,function(i)alpha(COLS[i],avalues[i]))

ggplot(data = data,aes(y = mean,ymin = lower,ymax = upper,x = x,fill = cat)) +
  scale_fill_manual("category",values = fillCOLS,labels = c("A","B","C","D")) + 
  theme_classic() +
  theme(legend.position = "right") + 
  geom_ribbon() + 
  geom_line() + 
  scale_y_continuous("Predicted probability",labels = scales::percent) +
  xlab("X") +
  labs(title = "Title") + 
  facet_wrap(~cat)

不包含alpha的图：

ggplot(data = data,labels = scales::percent) +
  xlab("X") +
  labs(title = "Title") + 
  facet_wrap(~cat)

我认为，如果您的alpha必须依赖于分类变量，则可以在aes中传递它，并使用scale_alpha_manual为alpha设置值：

ggplot(data = df,fill = cat,alpha = cat)) +
  scale_fill_manual("category",values = c("#11CC66","#BA0000"),labels = scales::percent) +
  xlab("X") +
  labs(title = "Title")+
  scale_alpha_manual(name = "category",values = c(.1,.4))

示例数据

structure(list(Row = c(1L,2L,3L,4L,7L,8L,9L,10L,13L,14L,15L,16L,19L,20L,21L,22L,25L,26L,27L,28L,31L,32L,33L,34L,37L,38L,39L,40L,43L,44L,45L,46L,49L,50L,51L,52L,55L,56L,57L,58L,61L,62L,63L,64L),mean = c(0.02298658,0.0229903,0.02299402,0.02299774,0.03075102,0.03075596,0.03076089,0.03076583,0.0410672,0.04107372,0.04108024,0.04108676,0.05469522,0.05470377,0.05471233,0.05472088,0.07255268,0.07256381,0.07257493,0.07258606,0.09569158,0.09570589,0.09572019,0.0957345,0.12522569,0.12524379,0.12526188,0.12527998,0.16218708,0.1622095,0.16223192,0.16225435,0.20730452,0.20733159,0.20735866,0.20738574,0.26073142,0.2607631,0.26079479,0.26082648,0.32180096,0.32183675,0.32187253,0.32190832),lower = c(0.02001936,0.0200234,0.02002744,0.02003149,0.02637643,0.02638214,0.02638786,0.02639357,0.03428711,0.03429811,0.03430911,0.03432012,0.0434779,0.04348976,0.04350163,0.0435135,0.05491805,0.05492779,0.05493754,0.0549473,0.06842579,0.06844165,0.06845752,0.06847338,0.0854178,0.08543727,0.08545674,0.08547622,0.10708009,0.10711512,0.10715016,0.1071852,0.13200609,0.13202424,0.1320424,0.13206056,0.16270517,0.16274097,0.16277678,0.16281259,0.19905517,0.19907373,0.1990923,0.19911087),upper = c(0.02629616,0.02629639,0.02629662,0.02629685,0.03546341,0.03546877,0.03547412,0.03547948,0.04879853,0.04880438,0.04881024,0.0488161,0.06729005,0.06729357,0.06729748,0.0673064,0.09335719,0.09336202,0.09336686,0.0933717,0.12862716,0.12863947,0.12864678,0.12865291,0.17360485,0.17361856,0.17363227,0.17364598,0.23140493,0.23145163,0.23149834,0.23152234,0.30024572,0.30026912,0.30029252,0.30031592,0.3793895,0.37942921,0.37946892,0.37950864,0.46744402,0.46750282,0.46756161,0.46762041),x = c(0L,0L,5L,30L,35L,50L),cat = c("A","D","A","D")),row.names = c(NA,-44L),class = c("data.table","data.frame"),.internal.selfref = <pointer: 0x56276b4f1350>)

alpha ggplot2 r

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绘图中每组不同的alpha值

javacoffin 回答：绘图中每组不同的alpha值

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