[英]How to overwrite the colour scale when there are multiple colour scales?
我正在繪制 32 條不同的線，這些線根據數據集中的pillarType列分為 3 個不同的組。 然后對於每組曲線，我使用不同的色標使用ggnewscale package。最重要的是，我想使用guide覆蓋 aes 以調整色標中點的大小和 alpha 值以獲得更好的可見性。
但是，當與new_scale_color()一起使用時， guide不會覆蓋原始色標，但也不會報錯。
問題：
有多個色標如何覆蓋色標？
suppressMessages(library(ggnewscale))
getPalette <- function(name, n = 7) MetBrewer::met.brewer(name = name, n = n)
nDistint_type1 <- n_distinct(na.omit(dt[pillarType ==1,]$id))
nDistint_type2 <- n_distinct(na.omit(dt[pillarType ==2,]$id))
nDistint_type3 <- n_distinct(na.omit(dt[pillarType ==3,]$id))
dLabels1 <- dt[pillarType == 1, head(initRadii, 1), by = id]$V1
dLabels2 <- dt[pillarType == 2, head(initRadii, 1), by = id]$V1
dLabels3 <- dt[pillarType == 3, head(initRadii, 1), by = id]$V1
gg <- ggplot(dt, aes(x=time/3600, y=radii)) +
#facet_wrap(Y~., scales = "free")+
geom_point(data = dt[pillarType == 1, ], aes(color = factor(id)), alpha = 0.5, size = 1)+
scale_colour_manual(values = getPalette(name = "Cassatt1", n = nDistint_type1), name = "", labels = dLabels1)+
geom_segment(data = dSegment, aes(x = xs, y = ys, xend = xend, yend = yend))+
geom_text(data=dSegment, aes(label = label, x = xend, y = yend), hjust = 0, size = 0.36*fontSize/2)+
#geom_segment(data = dSegmentInlet, aes(x = xs, y = ys, xend = xend, yend = yend))+
#geom_text(data=dSegmentInlet, aes(label = label, x = xend, y = yend), hjust = 0, size = 0.36*fontSize/2)+
new_scale_color()+
geom_point(data = dt[pillarType == 2, ], aes(color = factor(id)), alpha = 0.5, size = 1)+
scale_colour_manual(values = getPalette(name = "Hokusai2", n = nDistint_type2), name = "Initial Radius", labels = dLabels2)+
new_scale_color()+
geom_point(data = dt[pillarType == 3, ], aes(color = factor(id)), alpha = 0.5, size = 1)+
scale_colour_manual(values = getPalette(name = "Morgenstern", n = nDistint_type3), name = "", labels = dLabels3)+
new_scale_color()+
labs(x = expression("Time,"~t~" [h]"), y = expression("Radius,"~r~"["*mu*m*"]")) +
#scale_colour_manual(values = myPalette) +
guides(colour = guide_legend(override.aes = list(linetype = list(rep("blank", nDistint_type1), rep("blank", nDistint_type2), rep("blank", nDistint_type3))
, size = list(rep(4, nDistint_type1), rep(4, nDistint_type2), rep(4, nDistint_type3))
, shape = list(rep(16, nDistint_type1), rep(16, nDistint_type2), rep(16, nDistint_type3))
, alpha = list(rep(1, nDistint_type1), rep(1, nDistint_type2), rep(1, nDistint_type3)))))
這是代碼。
這是我正在使用的數據集的一小部分
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使用ggnewscale時最好，否則您必須直接通過比例調整顏色比例，即在您的情況下通過比例的guide參數：
guide1 <- guide_legend(override.aes = list(
linetype = rep("blank", nDistint_type1),
size = rep(4, nDistint_type1),
shape = rep(16, nDistint_type1),
alpha = rep(1, nDistint_type1)
))
guide2 <- guide_legend(override.aes = list(
linetype = rep("blank", nDistint_type2),
size = rep(4, nDistint_type2),
shape = rep(16, nDistint_type2),
alpha = rep(1, nDistint_type2)
))
guide3 <- guide_legend(override.aes = list(
linetype = rep("blank", nDistint_type3),
size = rep(4, nDistint_type3),
shape = rep(16, nDistint_type3),
alpha = rep(1, nDistint_type3)
))
ggplot(dt, aes(x = time / 3600, y = radii)) +
geom_point(data = dt[pillarType == 1, ], aes(color = factor(id)), alpha = 0.5, size = 1) +
scale_colour_manual(values = getPalette(name = "Cassatt1", n = nDistint_type1), name = "", labels = dLabels1,
guide = guide1) +
new_scale_color() +
geom_point(data = dt[pillarType == 2, ], aes(color = factor(id)), alpha = 0.5, size = 1) +
scale_colour_manual(values = getPalette(name = "Hokusai2", n = nDistint_type2), name = "Initial Radius", labels = dLabels2,
guide = guide2) +
new_scale_color() +
geom_point(data = dt[pillarType == 3, ], aes(color = factor(id)), alpha = 0.5, size = 1) +
scale_colour_manual(values = getPalette(name = "Morgenstern", n = nDistint_type3), name = "", labels = dLabels3,
guide = guide3) +
labs(x = expression("Time," ~ t ~ " [h]"), y = expression("Radius," ~ r ~ "[" * mu * m * "]"))
如何為ggplot2中的數據集分配多個色階； 為每個列變量分配不同的色標
[英]How to assign multiple colour scales to a dataset in ggplot2; assign different color scale to each column variable
在一個圖中為不同范圍的數據使用多個scale_colour_gradient標度
[英]Using multiple scale_colour_gradient scales for different ranges of the data in one plot
如何將 scale_colour_steps 與 aes 顏色變量一起使用而不會出現錯誤：分箱比例僅支持連續數據？
[英]How can I use scale_colour_steps with an aes colour variable without Error: Binned scales only support continuous data?
如何在ggplot2的scale_colour_gradientn中指定顏色編號
[英]How to specify the colour number in scale_colour_gradientn of ggplot2
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