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I used this lmp function quite a lot of times.Īnd at one point I decided to add new features to enhance data analysis.

In the case of a simple regression with one predictor, the model p-value and the p-value for the coefficient will be the same.Ĭoefficient p-values: If you have more than one predictor, then the above will return the model p-value, and the p-value for coefficients can be extracted using: summary(fit)$coefficientsĪlternatively, you can grab the p-value of coefficients from the anova(fit) object in a similar fashion to the summary object above. This blog post outlines a function to return the p-value: lmp lmp(fit) Model p-value: If you want to obtain the p-value of the overall regression model, See names(summary(fit)) for a list of all the items you can extract directly. R-squared: You can return the r-squared value directly from the summary object summary(fit)$r.squared.