CODEWITHSUNDEEP
rggplot2
stevec
stevec

Reputation: 52718

Why is stat = "identity" necessary in geom_bar in ggplot?

From this question we see a simple geom_line in the answer. 

library(dplyr)
BactData %>% filter(year(Date) == 2017) %>% 
  ggplot(aes(Date, Svartediket_CB )) + geom_line()

If we change geom_line to geom_bar we may expect to see a bar plot, but instead

Error: stat_count() must not be used with a y aesthetic.

But it works if we add stat = "identity", like so

library(dplyr)
BactData %>% filter(year(Date) == 2017) %>% 
  ggplot(aes(Date, Svartediket_CB )) + geom_bar(stat = "identity")

Why doesn't geom_bar work without stat = "identity" - i.e. what is the purpose of stat = "identity"?

Upvotes: 38

Views: 136476

Answers (3)

Rutangaba
Rutangaba

Reputation: 439

@Stevec.

I found the answer at rdocumentation.org.

See below what means stat='identity':

"The heights of the bars commonly represent one of two things: either a count of cases in each group, or the values in a column of the data frame. By default, geom_bar uses stat="bin". This makes the height of each bar equal to the number of cases in each group, and it is incompatible with mapping values to the y aesthetic. If you want the heights of the bars to represent values in the data, use stat="identity" and map a value to the y aesthetic."

Hope this was helpful.

Follow the link to documentation: geom_bar documentation

Upvotes: 8

ravic_
ravic_

Reputation: 1831

There are two layers that are closely related: geom_bar() and geom_col(). The key difference is how they aggregate the data by default.

For geom_bar(), the default behavior is to count the rows for each x value. It doesn't expect a y-value, since it's going to count that up itself -- in fact, it will flag a warning if you give it one, since it thinks you're confused. How aggregation is to be performed is specified as an argument to geom_bar(), which is stat = "count" for the default value.

If you explicitly say stat = "identity" in geom_bar(), you're telling ggplot2 to skip the aggregation and that you'll provide the y values. This mirrors the natural behavior of geom_col() below.

In the case of geom_col(), it won't try to aggregate the data by default. From the docs, "geom_col() uses stat_identity(): it leaves the data as is". So, it expects you to already have the y values calculated and to use them directly. And geom_col() doesn't have an argument to change that behavior - it's always going to plot your y values that you provide, and you need to provide them.

If you have y values, you could use either syntax, but I find geom_col() more direct.

Upvotes: 53

Dij
Dij

Reputation: 1378

By default geom_bar() uses stat_count() to plot the frequency of cases at each level of x (some grouping variable). By contrast, this can be overridden with stat_identity() by supplying the argument stat = "identity" to plot the value at each level of x. The reason being geom_bar() is intended to plot frequencies, otherwise a single value could be more efficiently represented by a single point.

Upvotes: 6

Related Questions