我在the Economist's website上看到了这个图片,并想知道是否可以生成一个geom_bar()
这个有嵌入的说明性图标? (下面的虚拟数据)
虚拟数据,
require(ggplot2)
# Generate data
df3 <- data.frame(units = c(1.3, 1.8, 2.7, 4.2, 4.7, 6.7, 20),
what = c('Wikipedia', 'London Olympic Park', 'Aircraft carrier',
'The Great Pyramid', 'Stonehenge', 'Burj Khalifas',
'Empire State Building'))
# make gs an ordered factor
df3$what <- factor(df3$what, levels = df3$what, ordered = TRUE)
#plots
ggplot(df3, aes(what, units)) + geom_bar(fill="white", colour="darkgreen",
alpha=0.5, stat="identity") + coord_flip() + scale_x_discrete() +
scale_y_continuous(breaks=seq(0, 20, 2)) + theme_bw() +
theme(axis.title.x = element_blank(), axis.title.y = element_blank())
显然Robert Grant已经开始构建一个R函数来生成带有象形图的条形图it can be found at Github。感谢Andrie获取该信息。我正在努力研究罗伯特的功能是否能够满足我的需求。
如果您对如何使用Robert's function回答我的问题有任何建议,请发送信息。
以下是Grant's R-pictogram-function work
的简单说明# in case you don't alredy have RCurl
# install.packages("RCurl", dependencies = TRUE)
source_github <- function(u) {
# load package
require(RCurl)
# read script lines from website and evaluate
script <- getURL(u, ssl.verifypeer = FALSE)
eval(parse(text = script),envir=.GlobalEnv)
}
获得此脚本form this SO answer
source_github("https://raw.githubusercontent.com/robertgrant/pictogram/master/pictogram.R")
# install.packages("png", dependencies = TRUE)
require(png)
img <- readPNG(system.file("img", "Rlogo.png", package="png"))
pictogram(icon = img, n = c( 12, 35, 7),
grouplabels=c("12 R logos","35 R logos","7 R logos"))
这给你这种情节
答案 0 :(得分:6)
以下是我根据this idea提出的建议。 R logo取自维基百科。
library(png)
fill_images <- function()
{
l <- list()
for (i in 1:nrow(df3))
{
for (j in 1:floor(df3$units[i]))
{
#seems redundant, but does not work if moved outside of the loop (why?)
img <- readPNG("~/../Rlogo.png")
g <- rasterGrob(img, interpolate=TRUE)
l <- c(l, annotation_custom(g, xmin = i-1/2, xmax = i+1/2, ymin = j-1, ymax = j))
}
}
l
}
p <- ggplot(df3, aes(what, units)) +
geom_bar(fill="white", colour="darkgreen", alpha=0.5, stat="identity") +
coord_flip() +
scale_y_continuous(breaks=seq(0, 20, 2)) +
scale_x_discrete() +
theme_bw() +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
fill_images()
p
我不太确定绘制局部图像的最佳方法是什么。
实际上,这比我预期的要容易。我通过在其中的一部分上绘制白色矩形来剪切图像。请注意,geom_bar
应位于顶部,以便裁剪矩形不会影响它。网格线有一个小问题(它们被这些白色矩形部分隐藏),所以我不得不硬编码这些的位置并手动恢复它们。当然,这不是一个理想的解决方案,但我不知道如何以编程方式检索网格位置。无论如何,最后的情节完成了工作,看起来也很奇特!
library(png)
fill_images <- function()
{
l <- list()
for (i in 1:nrow(df3))
{
for (j in 1:ceiling(df3$units[i]))
{
img <- readPNG("~/../Rlogo.png")
g <- rasterGrob(img, interpolate=TRUE)
l <- c(l, annotation_custom(g, xmin = i-1/2, xmax = i+1/2, ymin = j-1, ymax = j))
}
}
l
}
clip_images <- function(restore_grid = TRUE)
{
l <- list()
for (i in 1:nrow(df3))
{
l <- c(l, geom_rect(xmin = i-1/2, xmax = i+1/2,
ymin = df3$units[i], ymax = ceiling(df3$units[i]),
colour = "white", fill = "white"))
if (restore_grid && ceiling(df3$units[i]) %in% major_grid)
l <- c(l, geom_segment(x = i-1, xend = i+1,
y = ceiling(df3$units[i]),
yend = ceiling(df3$units[i]),
colour = grid_col, size = grid_size))
}
l
}
grid_col <- "grey50"
grid_size <- 0.6
major_grid <- 0:10 * 2
p <- ggplot(df3, aes(what, units)) +
fill_images() +
clip_images() +
geom_bar(fill=NA, colour="darkgreen", size=1.2, alpha=0.5, stat="identity") +
coord_flip() +
scale_y_continuous(breaks=seq(0, 20, 2)) +
scale_x_discrete() +
theme_bw() +
theme(axis.title.x = element_blank(), axis.title.y = element_blank(),
panel.grid.major.x = element_line(colour = grid_col, size = grid_size),
panel.grid.major.y = element_line(colour = NA))
p
要保存.svg文件,请使用例如
ggsave(file="test.svg", plot=p, width=10, height=8)
如果您想将填充图片作为.svg文件,请查看grImport
package。您似乎必须手动将.svg转换为.ps(例如使用imagemagick),然后按照指南进行操作。
答案 1 :(得分:5)
gridSVG支持R引擎无法使用的svg功能,例如填充模式和任意剪辑。 This example可以很容易地适应ggplot2,
library(grid)
library(gridSVG)
require(ggplot2)
p <- ggplot(df3, aes(what, units)) +
geom_bar(colour="black", stat="identity") +
coord_flip()
pattern <- pattern(circleGrob(r=.4, gp=gpar(fill="grey")),
width=.05, height=.05)
registerPatternFill("circles", pattern)
gridsvg("pattern.svg")
print(p)
grid.force()
grid.patternFill("geom_rect.rect", grep=TRUE, group=FALSE,
label=rep("circles", length(levels(df3$what))))
dev.off()