calc_bin_prob: Calculate bin probabilities for a univariate ordinal dataset
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package

x is the independent variable and v is the response variable for univariate ordinal data. Bin the data by x, and calculate the proportion of observations falling into each ordinal category for each bin.

The input bin_bounds is optional. If it is not provided, 20 evenly spaced bins on the interval min(x) to max(x) are used.

The output is a list containing three variables:

bin_centers – The x-values of the bin centers bin_counts – A matrix with dimenesions num_bins by num_cat giving the counts of the ordinal variable (v) for each bin and category bin_prop – A matrix with dimenesions num_bins by num_cat giving the probabilities of the ordinal variable (v) for each bin and category (a normalized version of bin_counts)

1	calc_bin_prob(x, v, bin_bounds = NA)

`x`	The vector of independent variables
`v`	The vector of responses (m-values)
`bin_bounds`	(Optional) The bounds to use for binning. If not given, 20 evenly spaced bins on the interval min(x) to max(x) are used.