Gallery.rpy ⚡

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

# Load necessary libraries library(ggplot2) library(gridExtra) gallery.rpy

# Create a fourth plot p4 <- ggplot(mtcars, aes(x = wt, y = mpg, color = factor(gear))) + geom_point() + labs(title = "Scatterplot of MPG vs. WT by Gear") # Create a first plot p1 &lt;- ggplot(mtcars,

install.packages("ggplot2") Now, let's create a simple gallery: If you're looking to create a gallery of

If your intention was something else (like using R within Python, or creating an interactive gallery), please provide more details or context about what you're trying to achieve with "gallery.rpy".

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.

# 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.