This worksheet summarizes descriptive statistic functions which can be used to describe the properties of a data set. After completing this worksheet you should know how to use basic descriptive statistic functions and produce box whisker plots.
This time, the following analysis is build on top of your script from W06-1. Please copy your script “W06-1.R”, rename the copy to “W07-1.R” and use it for the programming tasks of this worksheet.
Please figure out the functions for some general descriptive statistics: mean, median, standard deviation, maximum and minimum. Let's try those on the observed animal activity data set.
Let's compare the descriptive values with the predicted values of the animal activity from W06-1.
While those values give us a good impression of the differences between the observed and predicted animal activity data set, a visualization might be more intuitive.
Please visualize the data set properties of the observed and predicted animal activity using a boxplot (e.g. function boxplot()).
Please identify the outliers by computing a scatter plot first and then starting the identify() function. Now you can click on a point of the plot to get the meta information for it.