我有一组数据,其中一个因子嵌套在另一个因子中。
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
我想显示父级别的水平条形图,然后显示子级别的垂直条形图。我偶然发现了哈德利的一篇论文,概述了如何做到这一点http://vita.had.co.nz/papers/prodplots.pdf。他在GitHub回购https://github.com/hadley/productplots中做过的初步工作,但由于缺乏兴趣,开发工作已停止。我可以用这个回购几乎产生我以后但不安静的东西。我想知道是否有人可以帮忙完成剩下的工作。我知道还有其他的绘图方法,但是这个方法特别好,因为它使用了预先注意的属性,即在层次结构的两个层次上将长度与公共零点进行比较。
这是我从Hadely的回购中得到的:
我想:
这里的代码产生了原始情节:
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())
其他图形系统解决方案也欢迎。
编辑试图像这样填充但是所有的条纹都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())
答案 0 :(得分:3)
如何&#39; S:
model = new createjs.Bitmap(new lib["c"+ 1]());
a {_listeners: null, _captureListeners: null, alpha: 1, cacheCanvas: null, cacheID: 0…}
console.log(model.image)
VM281:2 lib.c1 {spriteSheet: a, paused: true, currentAnimationFrame: 0, _animation: null, currentAnimation: null…}
undefined
console.log(model.image.width)
VM282:2 undefined
undefined