| MLhist {RXshrink} | R Documentation |
Plot method for MLboot objects
Description
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.
Usage
MLhist(x, comp="opt.beta", xvar=1, npct = 95, bins = 50 )Arguments
x |
An Output-list object of class "MLboot". |
comp |
One of five possible choices of MLboot() resampled estimates: "ols.beta", "ols.rmse", "opt.dmse", "opt.beta" or "opt.rmse". |
xvar |
Column number of estimates to be displayed: 1 <= xvar <= x$p. |
npct |
An integer percentage of the simulated scalar estimates to be displayed. This percentage should be at least 66 and at most 100. |
bins |
This proposed number of histogram "breaks" is only a suggestion; actual breakpoints will be set to "pretty" values. |
Value
An output list object of class MLhist:
x |
Character string showing user choices for "comp" and "xvar" arguments. |
form |
The regression formula specifying the linear model in MLboot(). |
reps |
Number of Bootstrap replications performed. |
npct |
An integer percentage of the simulated scalar estimates displayed. |
rbins |
Number of histogram Bins requested. |
dbins |
Number of histogram Bins actually displayed. |
ntot |
Total number of rows of scalar estimates. |
p |
Total number of columns of scalar estimates. |
nlo |
First (smallest) order statistic displayed in Histogram. |
nup |
Last (largest) order statistic displayed in Histogram. |
noin |
Total number of scalar estimates displayed in Histogram. |
xmn |
Observed Mean Estimate: location of vertical "blue" dashed line on Histogram. |
Author(s)
Bob Obenchain <wizbob@att.net>