Adr*_*ian 7 visualization r bar-chart ggplot2
Ancestry <- data.frame(Race = c("European", "African American", "Asian", "Hispanic", "Other"), Proportion = c(40, 30, 10, 15, 5))
Ancestry %>%
ggplot(aes(y = Proportion, fill = Race)) +
geom_bar(stat="identity", colour="white")
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运行上面的代码给我以下错误:
Warning in min(x, na.rm = na.rm) :
no non-missing arguments to min; returning Inf
Warning in max(x, na.rm = na.rm) :
no non-missing arguments to max; returning -Inf
Warning in min(diff(sort(x))) :
no non-missing arguments to min; returning Inf
Warning in x - width/2 :
longer object length is not a multiple of shorter object length
Warning in x + width/2 :
longer object length is not a multiple of shorter object length
Error in data.frame(list(y = c(40, 30, 10, 15, 5), fill = c(3L, 1L, 2L, :
arguments imply differing number of rows: 5, 2947
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我正在寻找创建类似于以下的堆叠式条形图:
您需要为x轴创建一个虚拟变量。然后使用geom_col类似于geom_bar(stat = "identity")绘制堆叠的barplot +的geom_text方式将文本放在条上。
您显示的图theme_economist已从ggthemes包装中使用。
library(tidyverse)
Ancestry <- data.frame(Race = c("European", "African American", "Asian", "Hispanic", "Other"),
Proportion = c(40, 30, 10, 15, 5))
Ancestry <- Ancestry %>%
mutate(Year = "2006")
ggplot(Ancestry, aes(x = Year, y = Proportion, fill = Race)) +
geom_col() +
geom_text(aes(label = paste0(Proportion, "%")),
position = position_stack(vjust = 0.5)) +
scale_fill_brewer(palette = "Set2") +
theme_minimal(base_size = 16) +
ylab("Percentage") +
xlab(NULL)
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library(ggthemes)
ggplot(Ancestry, aes(x = Year, y = Proportion, fill = Race)) +
geom_col() +
geom_text(aes(label = paste0(Proportion, "%")),
position = position_stack(vjust = 0.5)) +
theme_economist(base_size = 14) +
scale_fill_economist() +
theme(legend.position = "right",
legend.title = element_blank()) +
theme(axis.title.y = element_text(margin = margin(r = 20))) +
ylab("Percentage") +
xlab(NULL)
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由reprex软件包(v0.2.0.9000)创建于2018-08-26 。
我们可以创建一个虚拟变量将所有输入分组为一组,然后用于geom_bar创建堆叠条形图并用于geom_text命名Proportions.
library(ggplot2)
#Dummy group variable
Ancestry$row <- 1
#Create a label variable
Ancestry$percent <- (Ancestry$Proportion/sum(Ancestry$Proportion)) * 100
ggplot(Ancestry, aes(x = row,y = Proportion, fill = Race)) +
geom_bar(stat="identity") +
geom_text(aes(label = percent),
position = position_stack(vjust = 0.5))
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