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en:learning:schools:s01:worksheets:ba-ws-07-1 [2015/09/22 16:22]
en:learning:schools:s01:worksheets:ba-ws-07-1 [2015/09/22 16:22] (current)
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 +====== W07-1 Descriptive data set properties ======
 +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.
 +===== Things you need for this worksheet =====
 +  * {{section>​en:​resources:​templates:​tools#​R environment&​inline}}
 +  * {{section>​en:​resources:​templates:​tools#​R studio&​inline}}
 +  * your script and data from [[en:​learning:​schools:​s01:​worksheets:​ba-ws-06-1|W06-1 Leave-one-out validation]]
 +===== Learning log assignments =====
 +:!: This time, the following analysis is build on top of your script from [[en:​learning:​schools:​s01:​worksheets:​ba-ws-06-1|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 [[en:​learning:​schools:​s01:​worksheets:​ba-ws-06-1|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.
 +<note tip>To terminate the identify() function, just hit Escape</​note>​
en/learning/schools/s01/worksheets/ba-ws-07-1.txt ยท Last modified: 2015/09/22 16:22 (external edit)