如何在R中的条形图中显示每个因子顶部的频率

Question

  

可能重复：
  add text to horizontal barplot in R, y-axis at different scale?
  Annotate values above bars (ggplot faceted)

使用下面的代码，我希望在每列上方显示一个数字，该数字对应于该列的y值。换句话说，我试图让“QnWeight_initial”在灰色栏的顶部显示593，所以......

我的数据：

data<-structure(list(V1 = structure(c(2L, 1L), .Label = c("593", "QnWeight_initial"
), class = "factor"), V2 = structure(c(2L, 1L), .Label = c("566", 
"Head"), class = "factor"), V3 = structure(c(2L, 1L), .Label = c("535", 
"V1"), class = "factor"), V4 = structure(c(2L, 1L), .Label = c("535", 
"V2"), class = "factor"), V5 = structure(c(2L, 1L), .Label = c("535", 
"V3"), class = "factor"), V6 = structure(c(2L, 1L), .Label = c("482", 
"Left_Leg"), class = "factor"), V7 = structure(c(2L, 1L), .Label = c("474", 
"Left_Antenna"), class = "factor"), V8 = structure(c(2L, 1L), .Label = c("237", 
"Qn_Weight_Loss"), class = "factor"), V9 = structure(c(2L, 1L
), .Label = c("230", "Days_wrkr_eclosion"), class = "factor"), 
    V10 = structure(c(2L, 1L), .Label = c("81", "Growth_all"), class = "factor"), 
    V11 = structure(c(2L, 1L), .Label = c("79", "Growth_1_2"), class = "factor"), 
    V12 = structure(c(2L, 1L), .Label = c("62", "Growth_1_3"), class = "factor"), 
    V13 = structure(c(2L, 1L), .Label = c("60", "Growth_2_3"), class = "factor"), 
    V14 = structure(c(2L, 1L), .Label = c("51", "Right_Antenna"
    ), class = "factor"), V15 = structure(c(2L, 1L), .Label = c("49", 
    "Left_Leg_Remeasure"), class = "factor"), V16 = structure(c(2L, 
    1L), .Label = c("49", "Right_Leg"), class = "factor"), V17 = structure(c(2L, 
    1L), .Label = c("47", "Head_Remeasure"), class = "factor"), 
    V18 = structure(c(2L, 1L), .Label = c("46", "Left_Antenna_Remeasure"
    ), class = "factor")), .Names = c("V1", "V2", "V3", "V4", 
"V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", 
"V15", "V16", "V17", "V18"), class = "data.frame", row.names = c(NA, 
-2L))
dat<-data.frame(fac=unlist(data[1,, drop=FALSE]), freqs=unlist(data[2,, drop=FALSE]))

情节：

barplot( as.numeric( as.character(dat$freqs)) , main="Sample Sizes of Various Fitness Traits", xaxt='n', xlab='', width=0.85, ylab="Frequency")
par(mar=c(5,8,4,2))
labels<-unlist(data[1,,drop=FALSE])
text(1:18, par("usr")[3] -0.25, srt=90, adj=1,labels=labels,xpd=TRUE, cex=0.6)

Answer 1

您遇到问题因为dat$freqs是一个因素，即使它的打印表示“看起来像是数字”。 （输入str(foo) - 此处为str(dat)或str(dat$freqs) - 几乎总是有用的，可以查看您正在使用的数据的真实结构。）

无论如何，将dat$freq转换为课程"numeric"后，构建情节变得简单明了：

## Make the frequencies numbers (rather than factors)
dat$freqs <- as.numeric(as.character(dat$freqs))
## Find a range of y's that'll leave sufficient space above the tallest bar
ylim <- c(0, 1.1*max(dat$freqs))
## Plot, and store x-coordinates of bars in xx
xx <- barplot(dat$freqs, xaxt = 'n', xlab = '', width = 0.85, ylim = ylim,
              main = "Sample Sizes of Various Fitness Traits", 
              ylab = "Frequency")
## Add text at top of bars
text(x = xx, y = dat$freqs, label = dat$freqs, pos = 3, cex = 0.8, col = "red")
## Add x-axis labels 
axis(1, at=xx, labels=dat$fac, tick=FALSE, las=2, line=-0.5, cex.axis=0.5)