Gallery.rpy May 2026

# 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")

# Create a first plot p1 <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + labs(title = "Scatterplot of MPG vs. WT") 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. # Create a third plot p3 &lt;- ggplot(mtcars,

# 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 fourth plot p4 &lt;- ggplot(mtcars,

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

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".