Plot Regression Coefficients — plot

This function creates a bar plot to visualize regression coefficients, with optional ordering, intercept removal, and coefficient selection.

plot_coef(
  coefficients,
  remove_intercept = FALSE,
  order_coef = TRUE,
  select = NULL,
  title = "Regression Coefficients"
)

Arguments

coefficients: A named vector or data frame of regression coefficients.
remove_intercept: Logical. If TRUE, the intercept (first row) will be removed from the plot (default: FALSE).
order_coef: Logical. If TRUE, the coefficients will be sorted by absolute value before plotting (default: TRUE).
select: A logical vector to specify which coefficients are selected. If provided, the plot will highlight selected coefficients (default: NULL).
title: A character string specifying the title of the plot (default: "Regression Coefficients").

Value

A ggplot object displaying the regression coefficients as a bar plot.

Details

This function takes regression coefficients and creates a horizontal bar plot. It allows for sorting by the absolute value of coefficients, removing the intercept, and highlighting selected coefficients if a logical vector is provided. The plot is useful for interpreting regression models.

Examples

# Example usage:
fit<-lm(mpg~.,data=mtcars)
coef(fit)%>%plot_coef(remove_intercept = TRUE)