In this tutorial you’ll learn how to fix the error blog post “Aesthetics should be either size 1 or the same as the data” in the R programming language.

You are watching: Aesthetics must be either length 1 or the same as the data

Table the contents:


Let’s start appropriate away…

Example Data, Add-On Packages & Default Graph

As a very first step, we’ll need to develop some data the we deserve to use in the examples later on:


data data.frame(x = LETTERS<1:5>, # develop example data y = 1:5)data # Print instance data# x y# 1 A 1# 2 B 2# 3 C 3# 4 D 4# 5 E 5

data install and load ggplot2 to R:


install.packages("ggplot2") # install & pack ggplot2 packagelibrary("ggplot2")

install.packages("ggplot2") # install & pack ggplot2 packagelibrary("ggplot2")


Example 1: Reproducing the Error: Aesthetics must be either size 1 or the very same as the data

In instance 1, I’ll present how come replicate the error article “Aesthetics should be either size 1 or the very same as the data” in R.

Have a look in ~ the adhering to R code:


ggplot(data, aes(x, y, fill = c("red", "blue"))) + # shot to draw ggplot2 plot geom_bar(stat = "identity")# Error: Aesthetics must be either length 1 or the very same as the data (5): fill

ggplot(data, aes(x, y, to fill = c("red", "blue"))) + # shot to attract ggplot2 plot geom_bar(stat = "identity")# Error: Aesthetics need to be either length 1 or the very same as the data (5): fill


As you can see, the RStudio console returns the error “”Aesthetics need to be either length 1 or the same as the data”.

The reason for this is the we have specified the fill discussion within the aes duty to be equal a vector of length 2 (i.e. C(“red”, “blue”)).

However, our example data has 5 categories and also therefore doesn’t know which filling color should be supplied for which category.

Let’s solve this problem!

Example 2: resolving the Error: Aesthetics need to be either size 1 or the same as the data

This instance shows how to address the ggplot2 error “Aesthetics must be either size 1 or the exact same as the data”.

As disputed before, we have to specify a filling color for each team in our data. The easiest method to do this is that we collection fill come be equal to our grouping change (i.e. X):


ggplot(data, aes(x, y, to fill = x)) + # Properly illustration ggplot2 plot geom_bar(stat = "identity")

ggplot(data, aes(x, y, fill = x)) + # Properly drawing ggplot2 plot geom_bar(stat = "identity")


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