gpt4 book ai didi

r - 订购并填充 2 个不同的变量 geom_bar ggplot2 R

转载 作者:行者123 更新时间:2023-12-04 11:19:15 25 4
gpt4 key购买 nike

我有一个关于 geom_bar 中的填充字段的问题ggplot2 包。

我想用一个变量填充我的 geom_bar(在下一个示例中,该变量被称为 var_fill )但订购 geom_plot与另一个变量(在示例中称为 clarity)。

我怎样才能做到这一点?

非常感谢!

这个例子:

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

我想要这个盒子的顺序[清晰]:
library(ggplot2)
ggplot(data_ex) +
geom_bar(aes(x = cut, y = count, fill=clarity),stat = "identity", position = "fill", color="black")

enter image description here

使用此填充(颜色)框 [var_fill] :
ggplot(data_ex) + 
geom_bar(aes(x = cut, y = count, fill=var_fill),stat = "identity", position = "fill", color="black")

enter image description here

EDIT1:误用找到的答案:
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)

enter image description here

EDIT2 :现在我试图在滥用 的帮助下使用 ggmosaic 扩展来做到这一点
rm(list=ls())
set.seed(1)
library(ggplot2)
library(dplyr)
library(ggmosaic)

data_ex <- diamonds %>%
group_by(cut, clarity) %>%
summarise(count = n()) %>%
ungroup() %>%
mutate(residu= runif(nrow(.), min=-4.5, max=5)) %>%
mutate(residu_classe = case_when(residu < -4~"< -4 (p<0.001)",(residu >= -4 & residu < -2)~"[-4;-2[ (p<0.05)",(residu >= -2 & residu < 2)~"[-2;2[ non significatif",(residu >= 2 & residu < 4)~"[2;4[ (p<0.05)",residu >= 4~">= 4 (p<0.001)")) %>%
mutate(residu_color = case_when(residu < -4~"#D04864",(residu >= -4 & residu < -2)~"#E495A5",(residu >= -2 & residu < 2)~"#CCCCCC",(residu >= 2 & residu < 4)~"#9DA8E2",residu >= 4~"#4A6FE3"))


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")

enter image description here

但是我想在图的右侧添加这个图例(下面),但我不知道该怎么做,因为填充字段在 aes 之外,所以 scale_fill_manual 不起作用......

enter image description here

最佳答案

使用群体美学:

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)

enter image description here

编辑:使用 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)

enter image description here

在我看来,ggmosaic 根本不需要该组,两个图都颠倒了
geom_bar 的版本。

编辑3:
aes 之外定义填充修复了以下问题:
1) X 轴可读性
2) 删除每个矩形边框中非常小的彩色线条
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()

enter image description here

要添加 y 轴标签,需要一些争论。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()))

enter image description here

EDIT4:添加图例可以通过两种方式完成。

1 - 通过添加一个假层来生成图例 - 但是这会导致 x 轴标 checkout 现问题(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))

enter image description here

2 - 通过从一个图中提取图例并将其添加到另一个图中
library(gtable)              
library(gridExtra)

为传奇制作假情节:
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))

enter image description here

关于r - 订购并填充 2 个不同的变量 geom_bar ggplot2 R,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/46935674/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com