"Perform simple linear regression calculations and return the corresponding plot."

Usage

lm_and_plot(data, x, y, group, color)

Arguments

data: The input data frame contains information such as @param x, @param y, @param group, and @param color.
x: Independent variable, which is also used as the X-axis in the plot.
y: Dependent variable, which is also used as the Y-axis in the plot.
group: The column name used to differentiate groups, which also serves as the grouping information for batch calculations of regression coefficients and P-values.
color: The color of the scatter plot in the graph.

Value

A list containing a data frame and a plot, where the data frame includes regression coefficients and P-values, and the plot is a scatter plot.

Examples


library(biohelpers)

df <- iris
lm_and_plot(
  data = df,
  x = "Sepal.Length",
  y = "Sepal.Width",
  group = "Species",
  color = "Species"
) -> results.lm