The top 5 ggplot2 extension packages for easy data visualization in the R programming language. Want to learn more? Check out my comprehensive online course on Data Visualization in R Using ggplot2 & Friends: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
R code of this video:
# install.packages("ggplot2") # Install & load ggplot2
library(ggplot2)
data(iris) # Load example data
head(iris) # Head of example data
# install.packages("ggdist") # Install & load ggdist
library(ggdist)
ggplot(data = iris, # Draw raincloud plot
aes(x = Sepal.Length,
y = Species,
fill = Species)) +
geom_dotsinterval(side = "bottom",
scale = 0.5,
position = position_nudge(y = - 0.07)) +
stat_slab(scale = 0.5,
position = position_nudge(y = 0.07)) +
geom_boxplot(width = 0.1)
# install.packages("ggiraph") # Install & load ggiraph
library(ggiraph)
my_ggiraph ＜- ggplot(data = iris, # Create interactive plot
aes(x = Sepal.Length,
y = Sepal.Width,
color = Species)) +
geom_line_interactive(aes(tooltip = Species,
data_id = Species),
linewidth = 2)
girafe(ggobj = my_ggiraph) # Draw interactive plot
# install.packages("patchwork") # Install & load patchwork
library(patchwork)
my_patchwork1 ＜- ggplot(data = iris, # Create first plot
aes(x = Sepal.Length,
y = Sepal.Width,
color = Species)) +
geom_point()
my_patchwork2 ＜- ggplot(data = iris, # Create second plot
aes(x = Sepal.Length,
y = Sepal.Width,
color = Species)) +
geom_line()
my_patchwork3 ＜- ggplot(data = iris, # Create third plot
aes(x = Species,
y = Sepal.Width,
fill = Species)) +
geom_boxplot()
my_patchwork1 + my_patchwork2 / my_patchwork3 # Draw plot composition
# install.packages("ggstatsplot") # Install & load ggstatsplot
library(ggstatsplot)
ggbetweenstats(data = iris, # Violin plot with stats
x = Species,
y = Sepal.Length)
# install.packages("gganimate") # Install & load gganimate
library(gganimate)
ggplot(iris, # Animated scatter plot
aes(x = Sepal.Length,
y = Sepal.Width,
colour = Species,
group = 1L)) +
geom_point(size = 5) +
transition_states(Species,
transition_length = 1,
state_length = 1.5)
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