Gallery.rpy

install.packages("ggplot2") Now, let's create a simple gallery:

# Create a first plot p1 <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + labs(title = "Scatterplot of MPG vs. WT")

# Create a second plot p2 <- ggplot(mtcars, aes(x = cyl, y = mpg)) + geom_bar(stat = "identity") + labs(title = "Barplot of Cylinders vs. MPG") gallery.rpy

First, ensure you have ggplot2 installed:

# Arrange plots in a grid grid.arrange(p1, p2, p3, p4, nrow = 2, ncol = 2) This example creates four plots and arranges them in a 2x2 grid. You can adjust the nrow and ncol arguments in grid.arrange() to suit your desired gallery layout. install

If you're looking to create a gallery of plots, you can use R's base graphics or packages like ggplot2 for more complex and beautiful plots. Below is an example using ggplot2 to create a few plots and then arrange them in a simple gallery.

# Create a third plot p3 <- ggplot(mtcars, aes(x = wt, fill = factor(cyl))) + geom_histogram(bins = 5, alpha = 0.5, position = "dodge") + labs(title = "Histogram of WT by Cylinders") You can adjust the nrow and ncol arguments in grid

# Load necessary libraries library(ggplot2) library(gridExtra)