Utility function to compute and optimize bin breaks for histograms
util_optimize_histogram_bins(
x,
interval_freedman_diaconis = NULL,
nbins_max = 100,
cuts = NULL
)a list with bin breaks, if needed separated for each segment of the plot
a vector of data values (numeric or datetime)
range of values which should be included to
calculate the Freedman-Diaconis bandwidth (e.g., for
con_limit_deviations only values within limits) in interval
notation (e.g., [0;100])
the maximum number of bins for the histogram. Strong
outliers can cause too many narrow bins, which might be
even to narrow to be plotted. This also results in large
files and rendering problems. So it is sensible to limit
the number of bins. The function will produce a message if
it reduces the number of bins in such a case. Reasons
could be unspecified missing value codes, or minimum or
maximum values far away from most of the data values, a few
number of unique values, or (for con_limit_deviations)
no or few values within limits.
a vector of values at which breaks between bins should occur
Other figure_functions:
util_heatmap_1th()