Draw ggplot2 Plot with Mean & Standard Deviation by Category in R (Example Code)

This tutorial demonstrates how to draw a plot with mean and standard deviation by category in the R programming language.

Preparing the Example

data(iris)                    # Loading example data frame
head(iris)
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1          5.1         3.5          1.4         0.2  setosa
# 2          4.9         3.0          1.4         0.2  setosa
# 3          4.7         3.2          1.3         0.2  setosa
# 4          4.6         3.1          1.5         0.2  setosa
# 5          5.0         3.6          1.4         0.2  setosa
# 6          5.4         3.9          1.7         0.4  setosa
install.packages("dplyr")     # Install dplyr package
library("dplyr")              # Load dplyr
iris_group <- iris %>%        # Calculate means & standard deviations
  group_by(Species) %>%
  summarise_at(vars(Sepal.Length),
               list(mn = mean,
                    sd = sd))
iris_group
                   # # A tibble: 3 × 3
#   Species       mn    sd
#   <fct>      <dbl> <dbl>
# 1 setosa      5.01 0.352
# 2 versicolor  5.94 0.516
# 3 virginica   6.59 0.636

Example: Draw ggplot2 Plot with Means & Standard Deviations by Group

install.packages("ggplot2")   # Install ggplot2 package
library("ggplot2")            # Load ggplot2 package
ggplot(iris_group,            # Plot means & standard deviations for each category
       aes(x = Species, y = mn)) +
  geom_point() + 
  geom_errorbar(aes(ymin = mn - sd,
                    ymax = mn + sd))

r graph figure 1 draw ggplot2 mean standard deviation category r

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