Gallery.rpy May 2026

# 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,

# 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. You can adjust the nrow and ncol arguments in grid

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.

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