How do I draw an arrow on a histogram drawn using ggplot2?

ggplot2, histogram, r

Solution

Update `opts` is deprecated; use `theme` instead.

Extending bdemarest's response a little, I think this calculates the bar heights programatically. The last two columns of `arrow_pos` contain the relevant information: `Freq` is the height of the bar; `xval` in the x position of the midpoint of the bar. But still, some of the labels overlap the bars.

EDIT By default `cut` bounds its intervals as (b1, b2], whereas it appeas that `ggplot2` bounds its intervals in geom_histogram as [b1, b2). I've modified the code so that both bound their intervals as [b1, b2), ie the ggplot way.

library(ggplot2)
library(grid) # unit() is in the grid package.
library(plyr)  # Data restructuring

set.seed(123)
myd <- data.frame (class = rep(1:4, each = 100), yvar = rnorm(400, 50, 30))

arrow_pos = read.table(header=TRUE, stringsAsFactors=FALSE,
                       text="class   name       yvar
                             2       subject4    104.0
                             3       subject3    8.5
                             3       subject1    80.0
                             4       subject2    40.0
                             4       subject1    115.0")

# Calculate the y positions for the labels and arrows
# For the myd data frame, obtain counts within each bin, but separately for each class
bwidth <- 10   # Set binwidth
Min <- floor(min(myd$yvar)/bwidth) * bwidth
Max <- ceiling(max(myd$yvar)/bwidth) * bwidth

# Function to do the counting
func <- function(df) {
   tab = as.data.frame(table(cut(df$yvar, breaks = seq(Min, Max, bwidth), right = FALSE)))
   tab$upper = Min + bwidth * (as.numeric(rownames(tab)))
   return(tab)
   }

# Apply the function to each class in myd data frame
TableOfCounts <- ddply(myd, .(class), function(df) func(df))

# Transfer counts of arrow_pos
arrow_pos$upper <- (floor(arrow_pos$yvar/bwidth) * bwidth) + bwidth
arrow_pos <- merge(arrow_pos, TableOfCounts, by = c("class", "upper"))
arrow_pos$xvar <- (arrow_pos$upper - .5 * bwidth)      # x position of the arrow is at the midpoint of the bin
arrow_pos$class=factor(as.character(arrow_pos$class),
    levels=c("1", "2", "3", "4")) # Gets rid of warnings.

ggplot(myd, aes(x=yvar)) +
     theme_bw() +
     geom_histogram(colour="grey70", fill="grey70", binwidth=bwidth) +
     facet_wrap(~ class) +
     theme(panel.margin=unit(0, "lines")) +
     geom_text(data=arrow_pos, aes(label=name, x=xvar, y=Freq + 2), size=4) +
     geom_segment(data=arrow_pos, 
                  aes(x=xvar, xend=xvar, y=Freq + 1.5, yend=Freq + 0.25),
                  arrow=arrow(length=unit(2, "mm")))

Problem

Here is dataset: ``` set.seed(123) myd <- data.frame (class = rep(1:4, each = 100), yvar = rnorm(400, 50,30)) require(ggplot2) m <- ggplot(myd, aes(x = yvar)) p <- m + geom_histogram(colour = "grey40", fill = "grey40", binwidth = 10) + facet_wrap(~class) + theme_bw( ) p + opts(panel.margin=unit(0 ,"lines")) ``` I want to add labels to bars which each subject class fall into and produce something like the post-powerpoint processed graph. Is there way to do this within R ? ...... Edit: we can think of different pointer such as dot or error bar, if arrow is not impossible Let's say the following is subjects to be labelled: ``` class name yvar 2 subject4 104.0 3 subject3 8.5 3 subject1 80.0 4 subject2 40.0 4 subject1 115.0 classd <- data.frame (class = c(2,3,3,4,4), name = c ("subject4", "subject3", "subject1", "subject2", "subject1"), yvar = c(104.0, 8.5,80.0,40.0, 115.0)) ```

Original source