extract r squared from lm in r

To extract R-squared from a linear regression model (lm) in R, you can follow these steps:

1. Fit a linear regression model using the lm() function, for example:

model <- lm(y ~ x, data = dataset)

Replace y, x, and dataset with the appropriate variable names.

1. Use the summary() function to obtain the summary of the linear regression model:

summary(model)

1. Extract the R-squared value from the summary:

r_squared <- summary(model)$r.squared

By following these steps, you can fit a linear regression model, obtain the summary, and extract the R-squared value in R.