如何在条形图中用零线分割负条和正条?
How to split negative and positive bars by zero line in barplot?
我的数据有 2 个数字列(正值和负值)和 2 个分类变量。现在我想通过此代码在同一行上绘制负条和正条,而不是通过保持所有其余设置相同来在负条下绘制正条?
df <- data.frame(model = c("A","B","C","D","B","C"),
category = c("origin", "origin","origin","abroad","abroad","abroad"),
pos = c(40,50,45,100,105,80),
neg = c(-10,-5,-4,-16,-7,-2),
Colour = c("chocolate","deeppink4","yellow","steelblue3","deeppink4","yellow"))
Colour <- as.character(df$Colour)
Colour <- c(Colour,"white")
names(Colour) <- c(as.character(df$model),"white")
df <- df %>% pivot_longer(., cols=c('pos','neg'),
names_to = 'sign') %>%
mutate(Groups = paste(category, model),
sign = factor(sign, levels = c("neg", "pos")))
bar2 <- ggplot(df, aes(value, tidytext::reorder_within(model, value, category),
fill = ifelse(sign == "neg", "white", model),
color = model))+
geom_col(position = "dodge") +
scale_fill_manual(values = Colour, breaks = df$model) +
scale_color_manual(values = Colour, breaks = df$model) +
tidytext::scale_y_reordered() +
labs(fill = "model") +
facet_grid(category ~ ., switch = "y",scales = "free_y") +
theme(axis.text.x = element_text(angle = 90),
strip.background = element_rect(fill = "white"),
strip.placement = "outside",
strip.text.y.left = element_text(angle = 0),
panel.spacing = unit(0, "lines"))+theme(legend.position="none") +
labs( title = "BarPlot",
subtitle = "changes",
y = " ")
bar2
在
中将“闪避”改为“堆叠”
geom_col(position = "stack")
我的数据有 2 个数字列(正值和负值)和 2 个分类变量。现在我想通过此代码在同一行上绘制负条和正条,而不是通过保持所有其余设置相同来在负条下绘制正条?
df <- data.frame(model = c("A","B","C","D","B","C"),
category = c("origin", "origin","origin","abroad","abroad","abroad"),
pos = c(40,50,45,100,105,80),
neg = c(-10,-5,-4,-16,-7,-2),
Colour = c("chocolate","deeppink4","yellow","steelblue3","deeppink4","yellow"))
Colour <- as.character(df$Colour)
Colour <- c(Colour,"white")
names(Colour) <- c(as.character(df$model),"white")
df <- df %>% pivot_longer(., cols=c('pos','neg'),
names_to = 'sign') %>%
mutate(Groups = paste(category, model),
sign = factor(sign, levels = c("neg", "pos")))
bar2 <- ggplot(df, aes(value, tidytext::reorder_within(model, value, category),
fill = ifelse(sign == "neg", "white", model),
color = model))+
geom_col(position = "dodge") +
scale_fill_manual(values = Colour, breaks = df$model) +
scale_color_manual(values = Colour, breaks = df$model) +
tidytext::scale_y_reordered() +
labs(fill = "model") +
facet_grid(category ~ ., switch = "y",scales = "free_y") +
theme(axis.text.x = element_text(angle = 90),
strip.background = element_rect(fill = "white"),
strip.placement = "outside",
strip.text.y.left = element_text(angle = 0),
panel.spacing = unit(0, "lines"))+theme(legend.position="none") +
labs( title = "BarPlot",
subtitle = "changes",
y = " ")
bar2
在
中将“闪避”改为“堆叠”geom_col(position = "stack")