Frequency Histogram displays that use both a specified "Middle Percentage" of a MLboot() distribution that contains outliers as well as a proposed total number of bins.
MLhist(x, comp="opt.beta", xvar=1, npct = 95, bins = 50 )An Output-list object of class "MLboot".
One of five possible choices of MLboot() resampled estimates: "ols.beta", "ols.rmse", "opt.dmse", "opt.beta" or "opt.rmse".
Column number of estimates to be displayed: 1 <= xvar <= x$p.
An integer percentage of the simulated scalar estimates to be displayed. This percentage should be at least 66 and at most 100.
This proposed number of histogram "breaks" is only a suggestion; actual breakpoints will be set to "pretty" values.
An output list object of class MLhist:
Character string showing user choices for "comp" and "xvar" arguments.
The regression formula specifying the linear model in MLboot().
Number of Bootstrap replications performed.
An integer percentage of the simulated scalar estimates displayed.
Number of histogram Bins requested.
Number of histogram Bins actually displayed.
Total number of rows of scalar estimates.
Total number of columns of scalar estimates.
First (smallest) order statistic displayed in Histogram.
Last (largest) order statistic displayed in Histogram.
Total number of scalar estimates displayed in Histogram.
Observed Mean Estimate: location of vertical "blue" dashed line on Histogram.