report_extremes_count: Count and plot extreme observation by regions and measures of...
In antonmalko/ettools: Utility functions for dealing with eye-tracking data

Count and plot extreme observation by regions and measures of interest

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report_extremes_count(dat, by = subj, rois, mois, value.col = value,
  region.col = reg.name, measure.col = fixationtype, max.cutoff,
  min.cutoff = 0, plot.name = "Give a sensible name to the plot!")

`dat`	data.frame containing information about `by` column
`by`	quosure indicating which column we are aggregating along. Usually it is the subject or the item column.
`rois, mois`	vectors of identifiers for regions and measures, in which cells have to be counted. The type of entries in the vector should be the same as in `region.col` and `measure.col` respectively. Any of these can be left unsepcified, in this case, all regions and/or measure form the data will be used.
`value.col`	unquoted name of the column containing NAs which should be counted (typically it would be the column containing reaction times or something similar)
`region.col`	unquoted name of the column containing region ids
`measure.col`	unquoted name of the column containing measure ids
`max.cutoff`	numeric value, indicating the upper threshold; any values above this threshold will be considered "extreme" and counted
`min.cutoff`	numeric value, indicating the lower threshold. Defaults to 0
`plot.name`	Name of the heatmap plot with extreme values counts

list with 3 components:

counts - data.frame with counts data
count.plots - list with 3 components
- high.plot - plot with counts of extreme observations above max.cutoff
- low.plot - plot with counts of extreme observations below min.cutoff
- all.plot - plot with combined counts of both high and low extreme values
values.plots - list with 2 components
- high.plot - plot with numerical values of extreme observations above max.cutoff
- low.plot - plot with numerical values of extreme observations below min.cutoff