Question

我对ggplot2包的function isSpecified<T>(input: null | undefined | T): input is T中的填充字段有疑问。

我想用变量填充我的geom_bar（在下一个示例中，变量称为geom_bar），但是使用另一个变量（在示例中称为var_fill）命令geom_plot 。

我该怎么做？

非常感谢！

示例：

clarity

我想要这个盒子的顺序[清晰度]：

rm(list=ls())

set.seed(1)

library(dplyr)
data_ex <- diamonds %>% 
  group_by(cut, clarity) %>%
  summarise(count = n()) %>%
  ungroup() %>%
  mutate(var_fill= LETTERS[sample.int(3, 40, replace = TRUE)])

head(data_ex)

# A tibble: 6 x 4
   cut  clarity count var_fill
  <ord>   <ord> <int>    <chr>
1  Fair      I1   210        A
2  Fair     SI2   466        B
3  Fair     SI1   408        B
4  Fair     VS2   261        C
5  Fair     VS1   170        A
6  Fair    VVS2    69        C

使用方框[var_fill]的填充（颜色）：

library(ggplot2)
ggplot(data_ex) + 
  geom_bar(aes(x = cut, y = count, fill=clarity),stat = "identity", position = "fill", color="black")

EDIT1：错误发现答案：

ggplot(data_ex) + 
  geom_bar(aes(x = cut, y = count, fill=var_fill),stat = "identity", position = "fill", color="black")

EDIT2：现在我尝试用ggmosaic扩展程序在错误的帮助下做到这一点

p1 <- ggplot(data_ex) + geom_bar(aes(x = cut, y = count, group = clarity, fill = var_fill), stat = "identity", position = "fill", color="black")+ ggtitle("var fill")

p2 <- ggplot(data_ex) +  geom_bar(aes(x = cut, y = count, fill = clarity), stat = "identity", position = "fill", color = "black")+ ggtitle("clarity")

library(cowplot)
cowplot::plot_grid(p1, p2)

但我想在图的右边添加这个图例（下图），但我不知道怎么做，因为填充字段在aes之外，所以scale_fill_manual不起作用......

Answer 1

使用群体审美：

p1 <- ggplot(data_ex) + 
  geom_bar(aes(x = cut, y = count, group = clarity, fill = var_fill),
           stat = "identity", position = "fill", color="black") + ggtitle("var fill")

p2 <- ggplot(data_ex) + 
  geom_bar(aes(x = cut, y = count, fill = clarity), stat = "identity", position = "fill", color = "black")+
  ggtitle("clarity")

library(cowplot)
cowplot::plot_grid(p1, p2)

编辑：与ggmosaic

library(ggmosaic)

p3 <- ggplot(data_ex) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut), fill=var_fill), na.rm=T)+
  scale_x_productlist()

p4 <- ggplot(data_ex) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut), fill=clarity,), na.rm=T)+
  scale_x_productlist()

cowplot::plot_grid(p3, p4)

对我来说，ggmosaic完全不需要这个组，两个图都是相反的版本的geom_bar。

EDIT3：
在aes之外定义填充可以解决以下问题： 1）X轴可读性
2）删除每个矩形边框中非常小的彩色线

data_ex %>%
mutate(color = ifelse(var_fill == "A", "#0073C2FF", ifelse(var_fill == "B", "#EFC000FF", "#868686FF"))) -> try2

ggplot(try2) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut)),  fill = try2$color, na.rm=T)+
  scale_x_productlist()

要添加y轴标签，需要进行一些争论。这是一种方法：

ggplot(try2) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut)),  fill = try2$color, na.rm=T)+
  scale_x_productlist()+
  scale_y_continuous(sec.axis = dup_axis(labels = unique(try2$clarity),
                                         breaks = try2 %>%
                                           filter(cut == "Ideal") %>%
                                           mutate(count2 = cumsum(count/sum(count)),
                                                  lag = lag(count2)) %>%
                                           replace(is.na(.), 0) %>%
                                           rowwise() %>%
                                           mutate(post = sum(count2, lag)/2)%>%
                                           select(post) %>%
                                           unlist()))

EDIT4：添加图例可以通过两种方式完成。

1 - 通过添加假图层来生成图例 - 但是这会产生x轴标签的问题（它们是剪切和填充的组合）因此我定义了手动中断和标签

来自OP edit2的

data_ex

ggplot(data_ex) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut), fill = residu_classe), alpha=0, na.rm=T)+
  geom_mosaic(aes(weight= count, x=product(clarity, cut)), fill = data_ex$residu_color, na.rm=T)+
  scale_y_productlist()+
  theme_classic() +
  theme(axis.ticks=element_blank(), axis.line=element_blank())+
  labs(x = "cut",y="clarity")+
  scale_fill_manual(values = unique(data_ex$residu_color), breaks = unique(data_ex$residu_classe))+
  guides(fill = guide_legend(override.aes = list(alpha = 1)))+
  scale_x_productlist(breaks = data_ex %>% 
                        group_by(cut) %>%
                        summarise(sumer = sum(count)) %>% 
                        mutate(sumer = cumsum(sumer/sum(sumer)),
                               lag = lag(sumer)) %>%
                        replace(is.na(.), 0) %>%
                        rowwise() %>%
                        mutate(post = sum(sumer, lag)/2)%>%
                        select(post) %>%
                        unlist(), labels = unique(data_ex$cut))

2 - 从一个图中提取图例并将其添加到另一个图

library(gtable)              
library(gridExtra)

为传奇制作虚假情节：

gg_pl <- ggplot(data_ex) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut), fill = residu_classe), alpha=1, na.rm=T)+
  scale_fill_manual(values = unique(data_ex$residu_color), breaks = unique(data_ex$residu_classe))

制作正确的情节

z = ggplot(data_ex) +
  geom_mosaic(aes(weight= count, x=product(clarity, cut)), fill = data_ex$residu_color, na.rm=T)+
  scale_y_productlist()+
  theme_classic() +
  theme(axis.ticks=element_blank(), axis.line=element_blank())+
  labs(x = "cut",y="clarity")


a.gplot <- ggplotGrob(gg_pl)
tab <- gtable::gtable_filter(a.gplot, 'guide-box', fixed=TRUE)
gridExtra::grid.arrange(z, tab, nrow = 1, widths = c(4,1))

Answer 2

你快到了！你只需在aes中指定顺序，就可以这样：

ggplot(data_ex) + 
  geom_bar(aes(x = cut, y = count, fill=var_fill, order=clarity),stat = "identity", position = "fill", color="black")

你很高兴。

Answer 3

在当前版本的ggplot2 3.3.0中，此方法应该有效

self

订购并填写2个不同的变量geom_bar ggplot2 R.

3 个答案: