(这是问题Icons as x-axis labels in R的扩展。它会查找 ggplot 解决方案,而不是情节解决方案。由于ggplot
是基于网格而plot
基于图形,方法非常不同)
我想绘制像这样(from this paper)的图形,其中图标(在本例中为小图)用作刻度标签。
原始问题的答案是:
library(igraph)
npoints <- 15
y <- rexp(npoints)
x <- seq(npoints)
# reserve some extra space on bottom margin (outer margin)
par(oma=c(3,0,0,0))
plot(y, xlab=NA, xaxt='n', pch=15, cex=2, col="red")
lines(y, col='red', lwd=2)
# graph numbers
x = 1:npoints
# add offset to first graph for centering
x[1] = x[1] + 0.4
x1 = grconvertX(x=x-0.4, from = 'user', to = 'ndc')
x2 = grconvertX(x=x+0.4, from = 'user', to = 'ndc')
for(i in x){
print(paste(i, x1[i], x2[i], sep='; '))
# remove plot margins (mar) around igraphs, so they appear bigger and
# `figure margins too large' error is avoided
par(fig=c(x1[i],x2[i],0,0.2), new=TRUE, mar=c(0,0,0,0))
plot(graph.ring(i), vertex.label=NA)
}
我们如何使用 ggplot 制作类似的情节?
这是我越接近:
library(ggplot2)
library(grImport)
library(igraph)
npoints <- 5
y <- rexp(npoints)
x <- seq(npoints)
pics <- vector(mode="list", length=npoints)
for(i in 1:npoints){
fileps <- paste0("motif",i,".ps")
filexml <- paste0("motif",i,".xml")
# Postscript file
postscript(file = fileps, fonts=c("serif", "Palatino"))
plot(graph.ring(i), vertex.label.family="serif", edge.label.family="Palatino")
dev.off()
# Convert to xml accessible for symbolsGrob
PostScriptTrace(fileps, filexml)
pics[i] <- readPicture(filexml)
}
xpos <- -0.20+x/npoints
my_g <- do.call("grobTree", Map(symbolsGrob, pics, x=xpos, y=0))
qplot(x, y, geom = c("line", "point")) + annotation_custom(my_g, xmin=-Inf, xmax=Inf, ymax=0.4, ymin=0.3)
答案 0 :(得分:2)
这是你的尝试的基础。
(我在set.seed(1)
函数之前使用了rexp
,并调整了图表以增加边缘厚度:plot(graph.ring(i), vertex.label=NA, edge.width=30)
)
从上面继续:
# Initial plot
p <- qplot(x, y, geom = c("line", "point"))
# Use the plot to get the x-positions of the labels
g <- ggplotGrob(p)
xpos <- g$grobs[[grep("axis-b", g$layout$name)]]$children[[2]]$grobs[[2]]$x
# Create grob tree
my_g <- do.call("grobTree", Map(symbolsGrob, pics, x=xpos, y=0.5))
# Make second plot
# Add extra space under the plot for the images
# Remove x-axis details
# Note the annotation is below the lower y-axis limit
# The limits were selected by inspection
p2 <- p + annotation_custom(my_g, xmin=-Inf, xmax=Inf, ymax=-0.1, ymin=-0.2) +
theme(axis.text.x = element_blank(),
plot.margin=unit(c(1,1,2,1), "cm"))
# remove clipping so the images render
g <- ggplotGrob(p2)
g$layout$clip[g$layout$name=="panel"] <- "off"
grid.newpage()
grid.draw(g)
有一种方法可以做到这一点/符合可爱的先前解决方案,但无论如何......