Eliminating NAs from a ggplot

Solution 1:

You can use the function subset inside ggplot2. Try this

library(ggplot2)

data("iris")
iris$Sepal.Length[5:10] <- NA # create some NAs for this example

ggplot(data=subset(iris, !is.na(Sepal.Length)), aes(x=Sepal.Length)) + 
geom_bar(stat="bin")

Solution 2:

Just an update to the answer of @rafa.pereira. Since ggplot2 is part of tidyverse, it makes sense to use the convenient tidyverse functions to get rid of NAs.

library(tidyverse)
airquality %>% 
        drop_na(Ozone) %>%
        ggplot(aes(x = Ozone))+
        geom_bar(stat="bin")

Note that you can also use drop_na() without columns specification; then all the rows with NAs in any column will be removed.