Thursday, January 30, 2025
HomeMathematicsHow do you create scatter plots in R
Mathematics

How do you create scatter plots in R

Ameson
By Ameson
0
1

Creating Scatter Plots in R

In R, you can create scatter plots using the plot() function from base R or the ggplot2 package for more advanced visualizations.

1️⃣ Using Base R (plot())

The simplest way to create a scatter plot is with the plot() function.

Example: Basic Scatter Plot

# Sample Data
x <- c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
y <- c(2, 3, 5, 7, 11, 13, 17, 19, 23, 29)

# Create Scatter Plot
plot(x, y,
main = "Basic Scatter Plot in R",
xlab = "X-axis Label",
ylab = "Y-axis Label",
col = "blue",
pch = 19) # pch controls point shape

🔹 Customization Options:

  • main → Title of the plot
  • xlab, ylab → Axis labels
  • col → Color of points
  • pch → Point style (e.g., 19 for solid circles, 16 for dots)

2️⃣ Adding a Regression Line

To add a trend line, use lm() (linear model) with abline().

model <- lm(y ~ x) # Create linear regression model
plot(x, y, pch = 19, col = "blue")
abline(model, col = "red", lwd = 2) # Add regression line

3️⃣ Using ggplot2 for Advanced Scatter Plots

ggplot2 offers a more customizable approach for scatter plots.

Installing & Loading ggplot2

install.packages("ggplot2") # Install (only needed once)
library(ggplot2) # Load the package

Example: Basic Scatter Plot with ggplot2

# Sample Data (data frame)
df <- data.frame(x = x, y = y)

# Scatter Plot with ggplot2
ggplot(df, aes(x = x, y = y)) +
geom_point(color = "blue", size = 3) +
labs(title = "Scatter Plot with ggplot2",
x = "X-axis Label",
y = "Y-axis Label") +
theme_minimal()

4️⃣ Adding a Regression Line in ggplot2

ggplot(df, aes(x = x, y = y)) +
geom_point(color = "blue", size = 3) +
geom_smooth(method = "lm", color = "red", se = FALSE) + # Linear trend line
labs(title = "Scatter Plot with Trend Line",
x = "X-axis",
y = "Y-axis") +
theme_minimal()

🔹 geom_smooth(method = "lm") adds a linear regression line.
🔹 se = FALSE removes the confidence interval shading.

5️⃣ Scatter Plot with Groups (Colored by Category)

# Sample Data with Categories
df <- data.frame(
x = rnorm(50),
y = rnorm(50),
category = sample(c("A", "B"), 50, replace = TRUE)
)

# Scatter Plot with Different Colors by Category
ggplot(df, aes(x = x, y = y, color = category)) +
geom_point(size = 3) +
labs(title = "Scatter Plot Colored by Category") +
theme_minimal()

📌 Summary

Method Function Used Best For
Base R plot() Simple scatter plots
Base R + Regression plot() + abline() Scatter plots with trend lines
ggplot2 ggplot() + geom_point() Customizable, professional-looking plots
ggplot2 + Regression ggplot() + geom_smooth(method = "lm") Scatter plots with linear regression

Would you like additional customizations or help with a specific dataset?

Related posts:

  1. What Percent of 90 is 50?
  2. What Is the Greatest Common Factor of 12 and 42
  3. Why Isn’t 1 a Prime Number?
  4. How to type a ² (squared symbol)
  5. What are some equivalent fractions for 2/5
  6. What is 10% of 5000?
Previous article
What is the eference between holiday in the past and now?
Next article
How Can I Remove a Key From a Python Dictionary?
RELATED ARTICLES
0 0 votes
Article Rating

Leave a Reply

0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
- Advertisment -

Most Popular

Load more

Recent Comments

Ayo Emeka on What Tropical Fruits Begin With The Letter U?
Alison Jersey on Top 10 Greatest Kings in the World
Bethany Devson on How to Get Current Date and Time in Java
Emmanul Kingsley on What is Martin Luther King Jr’s favorite color?
Fred Phillip on How much is 26c to f?
0
Would love your thoughts, please comment.x
()
x
MORE STORIES

Binary Numbers List

Blessed - 0

How many Hershey kisses will fit in a oz mason jar?

Ember Raven - 0

What Number is 12 Equal to 60 Percent Of?

GB Man - 0