I'm plotting 32 different lines, and these lines are separated into 3 different groups according to pillarType column in the dataset. Then for each group of curves, I'm using a different colour scale using ggnewscale package.
On top of this, I want to overwrite the aes using guide in order to adjust the size of and the alpha value of the points in the colour scale for better visibility.
However, when used with new_scale_color(), guide doesn't overwrite the original color scale, but it doesn't give an error either.
Question:
How to overwrite the color scale there are multiple color scales?
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)))))
Here is the code.
Here is a small part of the dataset I'm using
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CodePudding user response：
When working with ggnewscale it's best or you have to do adjustments of the color scales directly via the scale, i.e. in your case via the guide argument of the scale:
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 * "]"))
