explain_results: Explaining Results for OLS models
In rgardiner90/researchr: Automating Basic Analyses for Social Science Researchers

Description Usage Arguments Examples

View source: R/explain_results.R

This function returns a string for a specific variable that explains in simple terms the influence of the independent variable on the dependent variable.

1	explain_results(model_name, variable, p_value = 0.05)

`model_name`	The oLS model created
`variable`	The variable (aka term) used in the model. Needs to be exactly how tidy() would name the variable.
`p_value`	The significance threshold used to determine significance

model1 <- lm(mpg ~ wt, data = mtcars)
model2 <- lm(mpg ~ wt + cyl + hp + wt + disp, data = mtcars)
explain_results(model1, "wt")
explain_results(model2, "cyl", p_value = 0.1)