Easy Regression plots in R programming: How to write regression equation on Scatter Plots?

Dive into the world of data visualization with this comprehensive R programming tutorial! Learn how to create insightful scatter plots with regression lines using the ggplot2 package. We'll cover data preparation, plotting, and even add regression equations for a deeper understanding. Whether you're a beginner or looking to enhance your R skills, this tutorial has you covered. Subscribe for more R programming content and enhance your data analysis skills today!

🔗Code used in this video is given below the description

📌 Topics Covered:

1. Loading necessary libraries
2. Structuring and preparing your data
3. Creating a scatter plot with ggplot2
4. Adding a linear regression line with geom_smooth
5. Displaying the regression equation with stat_regline_equation
6. Enhancing your plot with ggpubr and theming

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# How to plot residuals of linear regression
# Load necessary libraries
library(ggplot2)
library(tibble)
library(tidyr)
library(ggpubr)

# Create a data frame with concentration (conc) and optical density (OD) values for three replicates
df = tribble(~conc, ~rep1, ~rep2, ~rep3,
0, 0.00, 0.00, 0.00,
10, 0.05, 0.03, 0.05,
20, 0.10, 0.13, 0.11,
30, 0.17, 0.15, 0.15,
40, 0.23, 0.23, 0.22,
50, 0.28, 0.29, 0.27,
60, 0.41, 0.46, 0.39,
70, 0.50, 0.49, 0.45,
80, 0.53, 0.54, 0.53,
90, 0.64, 0.65, 0.60,
100, 0.74, 0.69, 0.73)

df= pivot_longer(df, cols = 2:4, names_to = "replicate", values_to = "OD")

# Create a scatter plot with a linear regression line and regression equation
ggplot(df, aes(conc, OD)) +
geom_point() + # Add points to the plot
geom_smooth(method = "lm") + # Add a linear regression line
theme_classic()

?stat_regline_equation # to get help for regline equation

------ Code ends here

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[rohitgill]

Sir please make video on how to draw Spatial distribution

[sutchak]

Try out the mcr package on R for regression.