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ANOVA

Up to now, you've created output objects to save and extract elements for customized and more detailed presentation of results. However, some output objects like those from the aov() function for running an analysis of variance (ANOVA) can be used as inputs to other functions such as summary() and plot() to get customized results reporting and visualizations. The aov() output can also be used as input to TukeyHSD() to perform post hoc pairwise testing.

The abaloneKeep dataset and dplyr package have been loaded for you.

Deze oefening maakt deel uit van de cursus

R For SAS Users

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Oefeninstructies

  • Compute n, mean, standard deviation, and variance of age by sex.
  • Perform an ANOVA of age by sex groups and save the output as abaov.
  • Run the summary() of abaov.
  • Perform TukeyHSD() posthoc pairwise tests on abaov.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Compute n(), mean(), sd() and var() of age by sex
abaloneKeep %>% group_by(___) %>% select(___, ___) %>%
  summarise(across(everything(), list(mean = ___,
                                      ___ = ~sd(.x),
                                      var = ___)),
            N = ___)

# Run aov() of age by sex, save as abaov
abaov <- aov(___ ~ ___, data = ___)

# Run summary() of abaov
___

# Perform TukeyHSD posthoc pairwise tests on abaov
TukeyHSD(___)
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