我有一组数据嵌套在另一个因素中的数据。
Family Member Count
1 family1 Brother 3
2 family2 Brother 1
3 family3 Brother 1
4 family1 Dad 1
5 family2 Dad 1
6 family3 Dad 1
7 family1 Mom 1
8 family2 Mom 1
9 family3 Mom 0
10 family1 Pet 2
11 family2 Pet 0
12 family3 Pet 3
13 family1 Sister 3
14 family2 Sister 5
15 family3 Sister 3
我想显示父级的水平条形图，然后显示子级的垂直条形图。我遇到了一份Hadley论文，概述了如何进行此操作http://vita.had.co.nz/papers/prodplots.pdf。他在GitHub存储库https://github.com/hadley/productplots中做了最初的工作，但是由于缺乏兴趣，开发工作停止了。我可以使用此仓库几乎产生我想要的东西，但不会安静。我想知道是否有人可以帮助您解决其余问题。我知道还有另一种绘图方法，但是这种方法特别好用，因为它使用比较注意的属性，将长度与公共零进行比较，以比较层次结构两个级别上的计数。
这是我从Hadely的回购中得到的东西：
我想要：
删除多余的父级标签
用浅色填充父栏
将x轴刻度更改为原始计数
这是产生原始图的代码：
devtools::install_github("hadley/productplots")
library(productplots)
library(ggplot2)
dat <- structure(list(Family = c("family1", "family2", "family3", "family1",
"family2", "family3", "family1", "family2", "family3", "family1",
"family2", "family3", "family1", "family2", "family3"), Member = structure(c(1L,
1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L), .Label = c("Brother",
"Dad", "Mom", "Pet", "Sister"), class = "factor"), Count = c(3L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 0L, 3L, 3L, 5L, 3L)), row.names = c(NA,
-15L), .Names = c("Family", "Member", "Count"), class = "data.frame")
dat2 <- dat[rep(1:nrow(dat), dat[["Count"]]), ]
fill <- list(
aes(fill = Member),
theme(legend.position = "none"),
scale_fill_manual(values = c(
"Dad" = "#2B2D42",
"Mom" = "#7A7D7F",
"Sister" = "#B1BBCF",
"Brother" = "#6E0B21",
"Pet" = "#9B4D73",
"NA" = "grey50")))
m <- prodplot(dat2, ~ Member + Family, c("hbar", "vbar"), na.rm = TRUE,
levels = NA) + fill + theme_bw()
m + scale_x_continuous(expand = c(0,0), limits = c(0, 1.1)) +
theme(panel.grid=element_blank())
如果使用的话，我还复制了两个单独的图：
library(ggplot2)
ggplot(dat, aes(Family, weight=Count)) +
geom_bar(fill="grey80") +
coord_flip() +
scale_y_continuous(expand = c(0,0), limits = c(0, 11)) +
theme_bw()
ggplot(dat, aes(Family, weight=Count)) +
geom_bar(aes(fill = Member), position = "dodge") +
scale_y_continuous(expand = c(0,0), limits = c(0, 6)) +
theme_bw() +
facet_wrap(~Family, ncol=1, scales="free_x") +
theme(text=element_blank(), panel.grid=element_blank())
也欢迎其他图形系统解决方案。
编辑试图填充像这样，但使所有条变成灰色，而不仅仅是父条：
lvls <- unique(dat[["Family"]])
fill2 <- list(
aes(fill = Family),
theme(legend.position = "none"),
scale_fill_manual(values = setNames(rep("grey90", length(lvls)), lvls)))
m <- prodplot(dat2, ~ Member + Family, c("hbar", "vbar"), na.rm = TRUE,
levels = NA) + fill + fill2 + theme_bw()
m + scale_x_continuous(expand = c(0,0), limits = c(0, 1.1)) +
theme(panel.grid=element_blank())
最佳答案
怎么样
gg <- m + scale_x_continuous(expand = c(0,0), limits = c(0, 1.1), breaks=c(0.0, 0.5, 1.0),
labels=c(0, 5, 10)) +
theme(panel.grid=element_blank())
gb <- ggplot_build(gg)
gt <- ggplot_gtable(gb)
gt$grobs[[4]]$children[[2]]$gp$fill <- "#7f7f7f"
gt$grobs[[2]]$children$axis$grobs[[1]]$label <- gt$grobs[[2]]$children$axis$grobs[[1]]$label[1:3]
gt$grobs[[2]]$children$axis$grobs[[1]]$y <- gt$grobs[[2]]$children$axis$grobs[[1]]$y[1:3]
gt$grobs[[2]]$children$axis$grobs[[2]]$y <- gt$grobs[[2]]$children$axis$grobs[[2]]$y[1:6]
grid.newpage()
grid.draw(gt)