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# 在ggplot 2中显示堆叠条形图上的数据值

2019-06-14 15:24:00

Year      <- c(rep(c("2006-07", "2007-08", "2008-09", "2009-10"), each = 4))

Category  <- c(rep(c("A", "B", "C", "D"), times = 4))

Frequency <- c(168, 259, 226, 340, 216, 431, 319, 368, 423, 645, 234, 685, 166, 467, 274, 251)

Data      <- data.frame(Year, Category, Frequency)

library(ggplot2)

p <- qplot(Year, Frequency, data = Data, geom = "bar", fill = Category,     theme_set(theme_bw()))

p + geom_text(aes(label = Frequency), size = 3, hjust = 0.5, vjust = 3, position =     "stack")

## 2 回答

Qyouu

```ggplot(Data, aes(x = Year, y = Frequency, fill = Category, label = Frequency)) +
geom_bar(stat = "identity") +
geom_text(size = 3, position = position_stack(vjust = 0.5))```

```library(ggplot2)library(plyr)# calculate midpoints of bars (simplified using comment by @DWin)Data <- ddply(Data, .(Year),
transform, pos = cumsum(Frequency) - (0.5 * Frequency))# library(dplyr) ## If using dplyr... # Data <- group_by(Data,Year) %>%#
mutate(pos = cumsum(Frequency) - (0.5 * Frequency))# plot bars and add textp <- ggplot(Data, aes(x = Year, y = Frequency)) +
geom_bar(aes(fill = Category), stat="identity") +
geom_text(aes(label = Frequency, y = pos), size = 3)```

```library(grid)library(gridExtra)library(plyr)# create a new column with proportionsprop <- function(x) x/sum(x)Data <- ddply(Data,"Year",
transform,Share=prop(Frequency))# create the component graphicstotals <- ggplot(Data,aes(Year,Frequency)) + geom_bar(fill="darkseagreen",
stat="identity") +
xlab("") + labs(title = "Frequency totals in given Year")proportion <- ggplot(Data, aes(x=Year,y=Share, group=Category, colour=Category)) +
geom_line() + scale_y_continuous(label=percent_format())+ theme(legend.position = "bottom") +
labs(title = "Proportion of total Frequency accounted by each Category in given Year")# bring them togethergrid.arrange(totals,proportion)```

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