如何绘制与正条颜色相同的负条?
How to plot negative bars with same coloured shapes as positive ones?
我的 df 有两个数值变量(正值和负值)和 2 个分类变量。因为我想绘制具有相同颜色 shape/boundaries 的负条,所以我在数据框中手动指定颜色并使用适当的代码。我的问题是如何避免提前指定颜色并让 R 使用随机颜色,但将 white space 保留在负条 ?
内
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 = "stacked") +
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
将正条和负条绘制为单独的图层:
ggplot() +
# plot positive with fill and colour based on model
geom_col(aes(value, tidytext::reorder_within(model, value, category),
fill = model, color = model),
data = df[df$sign == "pos", ],
position = "stack") +
# plot negative with colour from based on model, but fill fixed as "white"
geom_col(aes(value, tidytext::reorder_within(model, value, category),
color = model),
data = df[df$sign == "neg", ],
fill = "white",
position = "stack") +
# the rest is same as OP's code
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 = " ")
我的 df 有两个数值变量(正值和负值)和 2 个分类变量。因为我想绘制具有相同颜色 shape/boundaries 的负条,所以我在数据框中手动指定颜色并使用适当的代码。我的问题是如何避免提前指定颜色并让 R 使用随机颜色,但将 white space 保留在负条 ?
内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 = "stacked") +
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
将正条和负条绘制为单独的图层:
ggplot() +
# plot positive with fill and colour based on model
geom_col(aes(value, tidytext::reorder_within(model, value, category),
fill = model, color = model),
data = df[df$sign == "pos", ],
position = "stack") +
# plot negative with colour from based on model, but fill fixed as "white"
geom_col(aes(value, tidytext::reorder_within(model, value, category),
color = model),
data = df[df$sign == "neg", ],
fill = "white",
position = "stack") +
# the rest is same as OP's code
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 = " ")