我正在尝试使用
ggplot
绘制频率图,其中删除的值仍然显示在图例中。我已经能够通过在 drop = FALSE
中设置 scale_fill_manual
来实现此目的,但是即使我已明确设置它,放置的字段在图例中没有颜色。我创建了一个与下面的数据类似的示例。在此示例中,我正在寻找 Male 在图例中显示,并在 scale_fill_manual
中设置颜色,但我似乎不知道如何执行此操作。
Data_Sample <- data.frame(CatType = c(rep("C1",3), rep("C2",7), rep("C3",8), rep("C4", 9), rep("C5", 2), rep("C6", 1)),
Owner = c("Angela", "Karen", "Angela")) %>%
mutate(Sex = ifelse(str_detect(CatType,"6"), "Male", "Female"),
CatID = str_pad(row_number(), 2, pad="0"),
Sex = factor(Sex, c("Male" = "Male", "Female" = "Female")),
Owner = factor(Owner, c("Angela" = "Angela", "Karen" = "Karen")),
CatType = factor(CatType))
Sample_Plot <- ggplot(Data_Sample %>% filter(., Owner == "Karen"), aes(x = CatType)) +
geom_bar(colour = "#2E312F",aes(y = 100*((..count..)/sum(..count..)), fill = Sex)) +
scale_x_discrete(drop = FALSE) +
geom_text(aes(label = paste(stat(100*round((..count..)/sum(..count..),5)), "%", sep = ""), x = CatType, y = stat(100*round((..count..)/sum(..count..),5))), stat = "count", colour = "#2E312F",size = 3.5, fontface = "bold", vjust = -0.25) +
theme(axis.text.x = element_text(face="bold"),
axis.title.y = element_text(face="bold", size=11),
axis.text.y = element_text(face="bold"),
axis.title.x = element_text(face="bold", size=11),
legend.title = element_text(face="bold", size=11),
legend.text = element_text(face="bold", size=7.5),
plot.title = element_text(face="bold", size=14, hjust = 0.5),
legend.title.align = 0.5,
legend.text.align = 0,
legend.box.background = element_rect(colour = "black", fill = "transparent", size = 1.5),
strip.text = element_text(face="bold", size=14),
panel.border = element_rect(colour = "black", fill=NA, linewidth = 2)
) +
scale_fill_manual(values = c("Female" = "#c90076", "Male" = "#2986cc"), drop = FALSE) +
guides(fill = guide_legend(reverse=TRUE)) +
labs(x = "Cat Type", y = "Percentage of Cats", title = paste("Karen's Cats", sep =" ")) +
scale_y_continuous(label=scales::label_percent(scale = 1), limits = c(0,100))
这是由于
ggplot2 3.5.0
中引入的更改所致,现在需要将 show.legend=TRUE
显式添加到 geom
以显示未使用因子水平的图例键。另外请注意,我切换到 after_stat
,因为 ..
和 stat
自版本 3.4.0
起已弃用,并使用 hjust
来对齐图例文本和标题,因为 legend.xxx.align
中已弃用 3.5.0
。
library(ggplot2)
library(dplyr, warn = FALSE)
packageVersion("ggplot2")
#> [1] '3.5.0'
ggplot(Data_Sample %>% filter(., Owner == "Karen"), aes(x = CatType)) +
geom_bar(colour = "#2E312F", aes(
y = 100 * after_stat(count / sum(count)),
fill = Sex
), show.legend = TRUE) +
scale_x_discrete(drop = FALSE) +
geom_text(
aes(
label = paste0(100 * round(after_stat(count / sum(count))), "%"),
x = CatType,
y = after_stat(count / sum(count))
),
stat = "count", colour = "#2E312F",
size = 3.5, fontface = "bold", vjust = -0.25
) +
theme(
axis.text.x = element_text(face = "bold"),
axis.title.y = element_text(face = "bold", size = 11),
axis.text.y = element_text(face = "bold"),
axis.title.x = element_text(face = "bold", size = 11),
legend.title = element_text(face = "bold", size = 11, hjust = .5),
legend.text = element_text(face = "bold", size = 7.5, hjust = 0),
plot.title = element_text(face = "bold", size = 14, hjust = 0.5),
legend.box.background = element_rect(
colour = "black",
fill = "transparent", linewidth = 1.5
),
strip.text = element_text(face = "bold", size = 14),
panel.border = element_rect(colour = "black", fill = NA, linewidth = 2)
) +
scale_fill_manual(values = c("Female" = "#c90076", "Male" = "#2986cc"), drop = FALSE) +
guides(fill = guide_legend(reverse = TRUE)) +
labs(x = "Cat Type", y = "Percentage of Cats", title = paste("Karen's Cats", sep = " ")) +
scale_y_continuous(label = scales::label_percent(scale = 1), limits = c(0, 100))