Color customization
We can color customize the error bars to suit our requirements using the color, width, and size parameter of the geom_errorbar() function.
Syntax: plot + geom_errorbar( aes( ymin, ymax, color ), width, size)
where,
- color: determines the color of the error bar
- width: determines the horizontal spread of the error bar.
- size: determines the thickness of the error bar.
Here, is a barplot with error bars colored by column name. Error bars are formatted using width and size parameters to give contrasting appeal and look.
R
# Create sample dataset.seed(5642) sample_data <- data.frame(name = c("Geek1","Geek2", "Geek3","Geek4", "Geeek5") , value = c(31,12,15,28,45)) # create standard errorstandard_error = 5# Load ggplot2 packagelibrary("ggplot2") # Create bar plot using ggplot() functionggplot(sample_data, aes(name,value,, color=name)) + # geom_bar function is used to plot bars of barplotgeom_bar(stat = "identity", fill="white")+# geom_errorbar function is used to plot error bars# color width and size parameter are used to format# the error barsgeom_errorbar(aes(ymin=value-standard_error, ymax=value+standard_error, color=name), width=0.2, size=2) |
Output:
How To Make Barplots with Error bars in ggplot2 in R?
In this article, we will discuss how to make a barplot with an error bar using ggplot2 in the R programming language.
Error Bars helps us to visualize the distribution of the data. Error Bars can be applied to any type of plot, to provide an additional layer of detail on the presented data. Often there may be uncertainty around the count values in data due to error margins and we could represent them as an error bar. Error bars are used to show the range of uncertainty around the distribution of data.
We can draw error bars to a plot using the geom_errorbar() function of the ggplot2 package of the R Language.
Syntax: plot + geom_errorbar( aes( ymin= value – standard_error, ymax= value + standard_error ))
where,
value: determines the column for mean values
standard_error: determines the mean error
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