我试图在情节中显示较差的设计选择。其中一种墨水浪费,如果是酒吧的阴影效果,人们可能会分散注意力。我想让 ggplot2 这样做。虽然我的基本原则是制作第一层半透明的酒吧层,然后向右移动。我可以稍微高一点,但不会略微向右:
dat <- data_frame(
School =c("Franklin", "Washington", "Jefferson", "Adams", "Madison", "Monroe"),
sch = seq_along(School),
count = sort(c(13, 17, 12, 14, 3, 22), TRUE),
Percent = 100*round(count/sum(count), 2)
)
dat[["School"]] <- factor(dat[["School"]], levels = c("Franklin",
"Washington", "Jefferson", "Adams", "Madison", "Monroe"))
ggplot(dat) +
geom_bar(aes(x = School, weight=Percent + .5), alpha=.1, width = .6) +
geom_bar(aes(x = School, weight=Percent, fill = School), width = .6) +
theme_bw()
此尝试发出以下警告,并忽略透明层(这是明智的):
ggplot(dat) +
geom_bar(aes(x = School + .2, weight=Percent + .5), alpha=.1, width = .6) +
geom_bar(aes(x = School, weight=Percent, fill = School), width = .6) +
theme_bw()
## Warning messages:
## 1: In Ops.factor(School, 0.2) : ‘+’ not meaningful for factors
## 2: In Ops.factor(School, 0.2) : ‘+’ not meaningful for factors
答案 0 :(得分:5)
我想也许这就是你要找的......?
ggplot(dat) +
geom_bar(aes(x = as.integer(School) + .2, y= Percent - .5),stat = "identity", alpha=.2,width = 0.6) +
geom_bar(aes(x = as.integer(School), y=Percent, fill = School),stat = "identity",width = 0.6) +
scale_x_continuous(breaks = 1:6,labels = as.character(dat$School)) +
theme_bw()
答案 1 :(得分:3)
使用@joran给我的作品(感谢Joran):
ggplot(dat) +
geom_bar(aes(x = School, y=Percent), fill=NA, color=NA, width = .6, stat = "identity") +
geom_bar(aes(x = sch + .075, y=Percent + .5), alpha=.3, width = .6, stat = "identity") +
geom_bar(aes(x = School, y=Percent, fill = School), width = .6, stat = "identity")
关键是:
NA
)sch
,但没有上一步没有工作weight
,而是使用y
&amp; stat = "identity"
答案 2 :(得分:3)
哦有人已经回答了这个问题,但无论如何这里都是我的。由于您只是在这里绘制图片,因此可以使用geom_rect:
xwidth <- 0.5
xoffset <- 0.05
yoffset <- 0.05
my_dat <- data.frame(x=1:5, y=5:1, labels=letters[1:5])
ggplot(my_dat) +
geom_rect(aes(xmin=x+xoffset, xmax=x+xwidth+xoffset,
ymin=0, ymax=y+yoffset),
fill='grey', alpha=0.8) +
geom_rect(aes(xmin=x, xmax=x+xwidth,
ymin=0, ymax=y, fill=labels)) +
scale_x_discrete(labels=my_dat$labels, breaks=my_dat$x) +
theme_bw()