Possible Duplicate:
add text to horizontal barplot in R, y-axis at different scale?
Annotate values above bars (ggplot faceted)
Using the code below, I'm hoping to display a number above each column that corresponds to the y-value for that column. In other words, I'm trying to get "QnWeight_initial" to display 593 at the top of the gray bar and so and...
My data:
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]))
The plot:
barplot( as.numeric( as.character(dat$freqs)) , main="Sample Sizes of Various Fitness Traits", xaxt='n', xlab='', width=0.85, ylab="Frequency")
par(mar=c(5,8,4,2))
labels<-unlist(data[1,,drop=FALSE])
text(1:18, par("usr")[3] -0.25, srt=90, adj=1,labels=labels,xpd=TRUE, cex=0.6)
You are having problems because dat$freqs
is a factor, even though it's printed representation 'looks like' it's numeric. (It's almost always helpful to type str(foo)
-- here str(dat)
or str(dat$freqs)
-- to have a look at the real structure of the data you're working with.)
In any case, once you've converted dat$freq
to class "numeric"
, constructing the plot becomes straightforward:
## 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)
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