我使用ggplot2
(版本0.9.3.1)在R(版本R版本3.0.1(2013-05-16))中生成了一个简单的图,显示了一组数据的相关系数。目前,图表右侧的图例颜色条是整个图块大小的一部分。
我希望图例颜色条与图的高度相同。我以为我可以使用legend.key.height
来做这件事,但我发现事实并非如此。我调查了grid
包unit
函数,发现那里有一些规范化的单位,但是当我尝试它们时(unit(1, "npc")
),颜色条太高了,离开了页面。
如何使图例与图块本身的高度相同?
完整的自包含示例如下:
# Load the needed libraries
library(ggplot2)
library(grid)
library(scales)
library(reshape2)
# Generate a collection of sample data
variables = c("Var1", "Var2", "Var3")
data = matrix(runif(9, -1, 1), 3, 3)
diag(data) = 1
colnames(data) = variables
rownames(data) = variables
# Generate the plot
corrs = data
ggplot(melt(corrs), aes(x = Var1, y = Var2, fill = value)) +
geom_tile() +
geom_text(parse = TRUE, aes(label = sprintf("%.2f", value)), size = 3, color = "white") +
theme_bw() +
theme(panel.border = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
aspect.ratio = 1,
legend.position = "right",
legend.key.height = unit(1, "inch")) +
labs(x = "", y = "", fill = "", title = "Correlation Coefficients") +
scale_fill_gradient2(limits = c(-1, 1), expand = c(0, 0),
low = muted("red"),
mid = "black",
high = muted("blue"))
答案 0 :(得分:14)
修改更新到ggplot v3.0.0
这很麻烦,但基于this answer,并深入研究ggplot grob,可以精确定位图例。
# Load the needed libraries
library(ggplot2)
library(gtable) #
library(grid)
library(scales)
library(reshape2)
# Generate a collection of sample data
variables = c("Var1", "Var2", "Var3")
data = matrix(runif(9, -1, 1), 3, 3)
diag(data) = 1
colnames(data) = variables
rownames(data) = variables
# Generate the plot
corrs = data
plot = ggplot(melt(corrs), aes(x = Var1, y = Var2, fill = value)) +
geom_tile() +
theme_bw() +
theme(panel.border = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(aspect.ratio = 1) +
# theme(legend.position = "right", legend.key.height = unit(1, "inch")) +
labs(x = "", y = "", fill = "", title = "Correlation Coefficients") +
scale_fill_gradient2(limits = c(-1, 1), breaks = c(-1, -.5, 0, .5, 1), expand = c(0,0),
low = muted("red"), mid = "black", high = muted("blue")) + # Modified line
geom_text(parse = TRUE, aes(label = sprintf("%.2f", value)), size = 3, color = "white") +
scale_x_discrete(expand = c(0,0)) + # New line
scale_y_discrete(expand = c(0,0)) # New line
plot
# Get the ggplot grob
gt = ggplotGrob(plot)
# Get the legend
leg = gtable_filter(gt, "guide-box")
# Raster height
leg[[1]][[1]][[1]][[1]][[1]][[2]]$height = unit(1, "npc")
# Positions for labels and tick marks - five breaks, therefore, five positions
pos = unit.c(unit(0.01,"npc"), unit(.25, "npc"), unit(.5, "npc"), unit(.75, "npc"), unit(.99, "npc"))
# Positions the labels
leg[[1]][[1]][[1]][[1]][[1]][[3]]$children[[1]]$y = pos
# Positions the tick marks
leg[[1]][[1]][[1]][[1]][[1]][[5]]$y0 = pos
leg[[1]][[1]][[1]][[1]][[1]][[5]]$y1 = pos
# Legend key height ?
leg[[1]][[1]][[1]][[1]]$heights = unit.c(rep(unit(0, "mm"), 3),
unit(1, "npc"),
unit(0, "mm"))
# Legend height
leg[[1]][[1]]$heights[[3]] = sum(rep(unit(0, "mm"), 3),
unit(1, "npc"),
unit(0, "mm"))
# grid.draw(leg) # Check on heights and y values
# gtable_show_layout(gt) # Manually locate position of legend in layout
gt.new = gtable_add_grob(gt, leg, t = 7, l = 9)
# Draw it
grid.newpage()
grid.draw(gt.new)
答案 1 :(得分:1)
这看起来相当棘手,我得到的最接近的是
## panel height is 1null, so we work it out by subtracting the other heights from 1npc
## and 1line for the default plot margins
panel_height = unit(1,"npc") - sum(ggplotGrob(plot)[["heights"]][-3]) - unit(1,"line")
plot + guides(fill= guide_colorbar(barheight=panel_height))
不幸的是,垂直理由有点偏。