The initial Functional Data Explorer report contains a Data Processing report and a Summaries report.
Figure 16.6 Initial Functional Data Explorer ReportĀ
The Data Processing Report includes an initial data plot of all observations, as well as a grid of individual data plots that correspond to levels of the ID variable. The maximum number of individual plots shown in the grid is twenty. There are drop-down menus and arrows above the grid to interactively select which individual plots are shown. If you specified a validation set, the first drop-down menu enables you to select if the individual plots shown are from the training set or the validation set. If there are more than twenty functions, the second drop-down menu and the arrows enable you to view different groups of plots. All graphs plot the functional response data over the values of the input variable. The Data Processing Report also contains data processing buttons.
The Summaries report contains a table of overall summary statistics, including the number of observations, number of functions, and the overall mean, standard deviation, minimum, and maximum values. There are also plots of the functional mean and functional standard deviation. The functional summary statistics displayed in the plots are computed at each unique value of the input variable.
The Data Processing and Summaries reports are useful for preprocessing your data prior to fitting a model or performing direct functional principal components analysis. There are data cleaning, transformation, and alignment buttons available in the Data Processing Report that correspond to the options in the Data Processing red triangle menu. See Data Processing Report Options. Each time you perform a preprocessing step, the graphs and summary results are automatically updated. You can perform multiple preprocessing steps in sequence. Each step is added to the Steps list of the Data Processing report. To remove the most recent step, click the Remove Last Step button below the Steps outline.