Plot two graphs in a same plot

📝 Title: Master the Art of Plotting Multiple Graphs in a Single Plot with R 📊📈

👋 Hey there tech wizards! Have you ever faced the conundrum of plotting multiple graphs on the same plot in R, only to end up with separate and disconnected visuals? Don't fret! 🤔

🎯 In this guide, we'll tackle the common issue of plotting two graphs, y1 and y2, pnorm on the same plot in R. We'll provide you with easy solutions and empower you to conquer this challenge like a pro. Let's dive in! 🏊‍♂️

💡 Problem: Integrating y1 and y2 into a single plot 🔄

Here's the code snippet you're using:

x <- seq(-2, 2, 0.05)
y1 <- pnorm(x)
y2 <- pnorm(x, 1, 1)
plot(x, y1, type = "l", col = "red")
plot(x, y2, type = "l", col = "green")

🔍 Explanation: Let's analyze what's going wrong in your code snippet. By using the plot() function twice, you're creating two separate plots, one for y1 and another for y2. As a result, they're not displayed together in a single plot.

✅ Solution: Merge your graphing dreams into one extraordinary plot! 🌈📊

Replace the plot() function calls with lines() functions to achieve your desired outcome. Here's the updated code:

x <- seq(-2, 2, 0.05)
y1 <- pnorm(x)
y2 <- pnorm(x, 1, 1)
plot(x, y1, type = "n", col = "red", ylab = "y")
lines(x, y1, type = "l", col = "red")
lines(x, y2, type = "l", col = "green")

📝 Explanation:

1. type = "n" in the plot() function creates an empty plot without displaying any lines, allowing us to manually add our lines using the lines() function.

2. ylab = "y" sets the y-axis label as "y" for better clarity.

3. lines(x, y1, type = "l", col = "red") adds the line for y1, setting it to red.

4. lines(x, y2, type = "l", col = "green") adds the line for y2, in a delightful shade of green.

🚀 Call to Action: Now you're ready to conquer the plotting world! 😎💪

Play with this code, tweak it, and experiment with different datasets. Share your stunning creations on social media using the hashtag #PlottingPro! 🌟

If you found this guide useful, don't forget to share it with your fellow R enthusiasts and spread the knowledge! Let's revolutionize the art of plotting together! 🤝💻

🌐 Sources

• Check out the official R documentation for more details about the plot() and lines() functions here.

✨ Remember, every graph tells a story, and you have the power to make it a captivating one! Happy plotting! 🎉📊