Using R and RStudio for Data Management, Statistical Analysis, and Graphics, 2nd Edition

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“K23166” — 2015/1/28 — 9:35 — page 72 — #98

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72 CHAPTER 6. LINEAR REGRESSION AND ANOVA

6.3.1 Predicted values

Example: 6.6.2

mod1 = lm(y ~ x, data=ds)

predicted.varname = predict(mod1)

Note: The command predict() operates on any lm object and by default generates a vector

of predicted values.

6.3.2 Residuals

Example: 6.6.2

mod1 = lm(y ~ x, data=ds)

residual.varname = residuals(mod1)

Note: The command residuals() operates on any lm object and generates a vector of

residuals. Other functions exist for aov, glm, or lme objects (see help(residuals.glm)).

6.3.3 Standardized and Studentized residuals

Example: 6.6.2

Standardized residuals are calculated by ...