Display Frequency Instead of Count with Geom_Bar() in Ggplot

Display frequency instead of count with geom_bar() in ggplot

Here's the solution which can be found in related question:

pp <- ggplot(data=tips, aes(x=day)) + 
      geom_bar(aes(y = (..count..)/sum(..count..)))

If you would like to label frequencies as percentage, add this (see here):

library(scales)
pp + scale_y_continuous(labels = percent)

Stacked Barplot with Frequency Counts ggplot2

I think the key for you might be to convert number_of_errors to a factor and make geom_bar(stat="count") you may also beenfit from this tutorial

library(ggplot2)
df$number_of_errors <- factor(df$number_of_errors)

ggplot(df, aes(x=condition, fill = number_of_errors)) +
  geom_bar(stat="count")

Show frequencies along with barplot in ggplot2

geom_text is tha analog of text from base graphics:

p + geom_bar() + stat_bin(aes(label=..count..), vjust=0, 
                          geom="text", position="identity")

If you want to adjust the y-position of the labels, you can use the y= aesthetic within stat_bin: for example, y=..count..+1 will put the label one unit above the bar.

The above also works if you use geom_text and stat="bin" inside.

How to make frequency barplot in groups?

I have used value ..prop.., aesthetic group and facet_wrap(). Using aesthetic group proportions are computed by groups. And facet_wrap() is used to plot each condition separately.

require(ggplot2)

food <- data.frame(Condition = c("A", "B", "A", "B", "A"),
                   Stars=c('good','meh','meh','meh','good'))

ggplot(food) +
  geom_bar(aes(x = Stars, y = ..prop.., group = Condition)) +
  facet_wrap(~ Condition)

Display Counts on a ggplot

Try this (Updated):

library(dplyr)
library(ggplot2)

OT_LF %>% left_join(OT_LF %>% group_by(Year) %>% summarise(TT=sum(FREQUENCY,na.rm=T))) %>%
  mutate(NewFacet=paste0(Year,' (N=',TT,')')) -> DF2

ggplot(data = DF2, aes(x = Length_mm, y = FREQUENCY))+
  geom_bar(stat="identity", width = 10, fill = "black")+
  theme_bw()+
  labs(x = "Length (mm)", y = "Count")+
  facet_wrap(~NewFacet, ncol = 1, dir="v")

Updated for histogram:

OT_LF %>% left_join(OT_LF %>% group_by(Year) %>% summarise(TT=n())) %>%
    mutate(NewFacet=paste0(Year,' (N=',TT,')')) -> DF2

ggplot(data = DF2, aes(x = Length_mm))+
    geom_histogram( stat = "bin", position = "stack", binwidth = 3, fill = "black" )+
    theme_bw()+
    labs(x = "Length (mm)", y = "Count")+
    facet_wrap(~NewFacet, ncol = 1, dir="v")

How to add frequency count labels to the bars in a bar graph using ggplot2?

ggplot(data=diamonds, aes(x=clarity)) +
geom_bar() +
geom_text(stat='count', aes(label=..count..), vjust=-1)

Show percent % instead of counts in charts of categorical variables

Since this was answered there have been some meaningful changes to the ggplot syntax. Summing up the discussion in the comments above:

 require(ggplot2)
 require(scales)

 p <- ggplot(mydataf, aes(x = foo)) +  
        geom_bar(aes(y = (..count..)/sum(..count..))) + 
        ## version 3.0.0
        scale_y_continuous(labels=percent)

Here's a reproducible example using mtcars:

 ggplot(mtcars, aes(x = factor(hp))) +  
        geom_bar(aes(y = (..count..)/sum(..count..))) + 
        scale_y_continuous(labels = percent) ## version 3.0.0

This question is currently the #1 hit on google for 'ggplot count vs percentage histogram' so hopefully this helps distill all the information currently housed in comments on the accepted answer.

Remark: If hp is not set as a factor, ggplot returns:

adding frequency of data to bar plot using ggplot

Try adding this:

d + geom_text(aes(label = value), 
              size = 3, 
              color = "black",
              position = position_dodge(width = 0.9),
              vjust = -2)

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