anova()

The anova() function will compute an analysis of variance (ANOVA) for a model, and present the statistics in an ANOVA table, that includes:

- sums of squares (Sum Sq)

- degrees of freedom (Df)

- mean squares (Mean Sq)

- F values

- p-values (Pr(>F))

Example 1:

Use the anova() function to get the ANOVA table for an empty model. You can save the model into an object first and use its name as the argument (Example 2 and Example 3), or you can use the lm() function directly in the anova() function (Example 1).

# Generate the ANOVA table for the empty model of Thumb

# using the lm() function within the anova() function

anova(lm(Thumb ~ NULL, data = Fingers))

Example output:

Example 2:

Use the anova() function to get the ANOVA table for a model with a single predictor.

# Generate the ANOVA table for the Sex model of Thumb

# Save the model into an object first

sex_model <- lm(Thumb ~ Sex, data = Fingers)

anova(sex_model)

Example output:

Example 3:

Use the anova() function to get the ANOVA table for a multivariate model.

# Generate the ANOVA table for the Sex + Height model of Thumb

sex_height_model <- lm(Thumb ~ Sex + Height, data = Fingers)

anova(sex_height_model)

Example output:

• Related Articles

• ANOVA

  ANOVA means ANalaysis Of VAriance; partitions variation.

• supernova()

  The supernova() function will compute an analysis of variance (ANOVA) for a model, and present the statistics in a modified ANOVA table, that includes: - sums of squares (SS) - degrees of freedom (df) - mean squares (MS) - proportional reduction in ...

• proportion reduction in error (PRE)

  Proportion reduction in error (PRE) is the proportion of error that has been reduced by a more complex model compared with a simpler model, which in our course is always the empty model. When comparing to the empty model, PRE is calculated as SS ...