我想根据组修改构面背景的颜色。我不确定这是否可行。具体来说,我使用facet_grid
(不是facet_wrap
)多层。
## Sample data
dat <- mtcars
## Add in some colors based on the data
dat$facet_fill_color <- c("red", "green", "blue", "yellow", "orange")[dat$gear]
## Create main plot
library(ggplot2)
P <- ggplot(dat, aes(x=cyl, y=wt)) + geom_point(aes(fill=hp)) + facet_grid(gear+carb ~ .)
## I can easily cahnge the background using:
P + theme(strip.background = element_rect(fill="red"))
但是,我想为不同的组更改不同的颜色。 理想情况下,如下所示(当然不起作用)
P + theme(strip.background = element_rect(fill=dat$facet_fill_color))
P + theme(strip.background = element_rect(aes(fill=facet_fill_color)))
小平面背景可以有多种颜色吗?
(相关,但不是上面的实际答案:ggplot2: facet_wrap strip color based on variable in data set)
答案 0 :(得分:11)
对于它的价值,它很容易适应之前的gtable hack。
## Sample data
require(ggplot2)
dat <- mtcars
## Add in some colors based on the data
dat$facet_fill_color <- c("red", "green", "blue", "yellow", "orange")[dat$gear]
## Create main plot
p <- ggplot(dat, aes(x=cyl, y=wt)) +
geom_point(aes(fill=hp)) + facet_grid(gear+carb ~ .) +
theme(strip.background=element_blank())
dummy <- p
dummy$layers <- NULL
dummy <- dummy + geom_rect(data=dat, xmin=-Inf, ymin=-Inf, xmax=Inf, ymax=Inf,
aes(fill = facet_fill_color))
library(gtable)
g1 <- ggplotGrob(p)
g2 <- ggplotGrob(dummy)
gtable_select <- function (x, ...)
{
matches <- c(...)
x$layout <- x$layout[matches, , drop = FALSE]
x$grobs <- x$grobs[matches]
x
}
panels <- grepl(pattern="panel", g2$layout$name)
strips <- grepl(pattern="strip-right", g2$layout$name)
g2$grobs[strips] <- replicate(sum(strips), nullGrob(), simplify = FALSE)
g2$layout$l[panels] <- g2$layout$l[panels] + 1
g2$layout$r[panels] <- g2$layout$r[panels] + 2
new_strips <- gtable_select(g2, panels | strips)
grid.newpage()
grid.draw(new_strips)
gtable_stack <- function(g1, g2){
g1$grobs <- c(g1$grobs, g2$grobs)
g1$layout <- rbind(g1$layout, g2$layout)
g1
}
## ideally you'd remove the old strips, for now they're just covered
new_plot <- gtable_stack(g1, new_strips)
grid.newpage()
grid.draw(new_plot)
答案 1 :(得分:4)
受@ SimonO&#39; Hanlon解决方案启发的替代搜索和替换策略,
strips <- grep(pattern="strip-right", Pg$layout$name)
refill <- function(strip, colour){
strip[["children"]][[1]][["gp"]][["fill"]] <- colour
strip
}
cols <- rep_len(rep.int(c("blue", "green", "red"), c(4,3,4)), length(strips))
Pg$grobs[strips] <- mapply(refill,
strip = Pg$grobs[strips],
colour = cols,
SIMPLIFY = FALSE)
grid.newpage()
grid.draw(Pg)
答案 2 :(得分:3)
这感觉就像一个可怕的hacky事情(在某种程度上,我几乎不好意思发布这个答案),但它有可能......
require(ggplot2);require(grid)
# Facet strip colours
cols <- rep( c("red", "green", "blue", "yellow", "orange")[rep( c(4,3,5),times=c(4,3,4))] , 2 )
# Make a grob object
Pg <- ggplotGrob(P)
# To keep track of strip.background grobs
idx <- 0
# Find each strip.background and alter its backround colour...
for( g in 1:length(Pg$grobs) ){
if( grepl( "strip.absoluteGrob" , Pg$grobs[[g]]$name ) ){
idx <- idx + 1
sb <- which( grepl( "strip\\.background" , names( Pg$grobs[[g]]$children ) ) )
Pg$grobs[[g]]$children[[sb]][]$gp$fill <- cols[idx]
}
}
# Plot
grid.newpage()
grid.draw(Pg)