Session Ready
Exercise

Specific statistics for one or more variables

As you saw before, you can use functions like summary(), psych::describe() or Hmisc::describe() to get many descriptive statistics at once for one or more variables in a dataset. You've also computed individual statistics in earlier exercises using functions like mean(), median(), sd() and others.

However, the dplyr package provides the summarise() and summarise_all() functions which allow you to compute multiple custom specific statistics of interest together for one or more variables at a time.

The abaloneKeep dataset and dplyr package are already loaded for you.

Instructions
100 XP
  • Get summary statistics for shucked weight and whole weight from the abaloneKeep dataset using summary().
  • Get mean and standard deviation of length using the summarise() function from the dplyr package. Name the output statistics mean_length and sd_length for mean and standard deviation respectively.
  • Get mean and standard deviation of height and diameter using the summarise_all() function from the dplyr package.
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