Annotate Values Above Bars (Ggplot Faceted)

Annotate values above bars (ggplot faceted)

Am I right in thinking that you just want the count (i.e the height) of each non-zero bar? If so, you can achieve that with

ggplot(mtcars2, aes(x=cyl)) + 
  geom_bar() + 
  facet_grid(gear~am) + 
  stat_bin(geom="text", aes(label=..count.., vjust=-1))

Which produces this graph (you may have to do some tweaking to get that highest label to show):

count is a new variable in a dataframe created by stat_bin(), which is why you have to reference it with ..count..

Annotation of summary statistic on ggplot above bars on barchart

An example with just one dataset:

# create a dataset
set.seed(123)
df <- data.frame(xcol=sample(1:3, 100, replace=TRUE), ycol = rnorm(100, 5, 2), catg=letters[1:5])

# summarising the data
require(plyr)
df2 <- ddply(df, .(xcol, catg), summarise, ave=mean(ycol))

# creating a plot
ggplot(df2, aes(x=factor(xcol),y=ave, fill=factor(xcol))) +
  geom_bar(stat="identity") +
  geom_text(aes(label=round(ave,2)), vjust = -0.5) +
  scale_y_continuous(limits=c(0,7), expand = c(0, 0)) +
  guides(fill=FALSE) +
  facet_wrap(~catg) +
  theme_bw()

which results in:

Annotating text on individual facet in ggplot2

Function annotate() adds the same label to all panels in a plot with facets. If the intention is to add different annotations to each panel, or annotations to only some panels, a geometry has to be used instead of annotate(). To use a geometry, such as geom_text() we need to assemble a data frame containing the text of the labels in one column and columns for the variables to be mapped to other aesthetics, as well as the variable(s) used for faceting.

Typically you'd do something like this:

ann_text <- data.frame(mpg = 15,wt = 5,lab = "Text",
                       cyl = factor(8,levels = c("4","6","8")))
p + geom_text(data = ann_text,label = "Text")

It should work without specifying the factor variable completely, but will probably throw some warnings:

ggplot: Add annotations using separate data above faceted chart

Perhaps draw two separate plots and assemble them together with patchwork:

library(patchwork) 

p1 <- ggplot(markers, aes(x = x,  y = 0)) +
    geom_point(color = 'red') +
    geom_text(aes(label = name),
        angle = 45, size = 2.5, hjust=0, nudge_x = -0.02, nudge_y = 0.02) +
    scale_y_continuous(limits = c(-0.01, 0.15), expand = c(0, 0)) +
    theme_minimal() +
    theme(axis.text = element_blank(),
        axis.title = element_blank(),
        panel.grid = element_blank())

p2 <- ggplot(mtcars2, aes(x = mpg, y = car, fill = cyl)) +
    geom_tile(color = "white") +
    facet_grid(make ~ ., scales = "free", space = "free") +
    theme_minimal() +
    theme(
        strip.background = element_rect(fill="Gray90", color = "white"),
        panel.background = element_rect(fill="Gray95", color = "white"),
        panel.spacing.y = unit(.7, "lines")
    )

p1/p2 + plot_layout(heights = c(1, 9))

Annotation above bars:

I was having trouble getting the position dodges to line up, so I ended up creating a position_dodge object (is that the right terminology?), saving it to a variable, and then using that as the position for both geoms. Somewhat infuriatingly, they still seem to be a little off centre.

dodgewidth <- position_dodge(width=0.9)
ggplot(dat,aes(x = type,y = count, fill = group)) + 
  geom_bar(colour = "black", position = dodgewidth ,stat = "identity") +
  stat_bin(geom="text", position= dodgewidth, aes(x=type, label=count), vjust=-1)

R geom_bar and facet_grid labels on top of bars

You are almost there, just you need to move aes(fill=Gender) to inside ggplot

library(tidyverse)
#Reproducible data set
test_mtcars <- mtcars %>% group_by(cyl,am, gear) %>% summarise(mean = mean(mpg))

ggplot(test_mtcars, aes(as.factor(cyl), mean, fill=as.factor(am))) + geom_bar(stat = "identity", position = "dodge") + 
facet_grid(~gear) + geom_text(aes(label = round(mean, 2)), position = position_dodge(width = 0.9), vjust = -1)

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