lm_equation: Function to get least-squares regression equation as a...

In skgrange/enlightenr: Convenient and robust functions for fancy statistical techniques

Description

lm_equation is used for creating a string which can be plotted with ggplot2.

Usage

lm_equation(df, y, x, labels = TRUE, zero_intercept = FALSE, digits = 3)

Arguments

df	Data frame.
y	y-variable.
x	x-variable.
labels	Should the equation show variable names rather than a generic y and x? Default is TRUE.
digits	Number of digits to display for the coefficents in the equation. Default is 3.

Author(s)

Ramnath Vaidyanathan with some enhancement by Stuart K. Grange

See Also

stackoverflow

Examples

## Not run: 

# Use annotation with ggplot
ggplot(data_my1, aes(nox, bc)) + geom_point() + stat_smooth(method = lm) + 
annotate("text", x = 200, y = 45, label = lm_equation(data_my1, "bc", "nox"),
         parse = TRUE)


## End(Not run)

skgrange/enlightenr documentation built on May 30, 2019, 1:03 a.m.