resistors

<p>This data set gives the resistance in ohms of 500 nominally one-half-ohm
    resistors, presented in Hahn and Shapiro (1967). Summary data giving the
    frequency of observations in 28 intervals.</p>

datasets

Functions for the hyperbolic and related distributions.
Density, distribution and quantile functions and random number generation
are provided for the hyperbolic distribution, the generalized hyperbolic
distribution, the generalized inverse Gaussian distribution and
the skew-Laplace distribution. Additional functionality is
provided for the hyperbolic distribution, normal inverse
Gaussian distribution and generalized inverse Gaussian distribution,
including fitting of these distributions to data. Linear models with
hyperbolic errors may be fitted using hyperblmFit.

David Scott

GeneralizedHyperbolic

The Generalized Hyperbolic Distribution

resistors function

<p>The <code>resistors</code> data frame has 28 rows and 2 columns.</p><table class="table">
<tr><td>[, 1]</td><td>midpoints</td><td>midpoints of intervals (ohm)</td></tr>
<tr><td>[, 2]</td><td>counts</td><td>number of observations in interval</td></tr>
</table><p></p><p></p>

Format

Resistance of One-half-ohm Resistors — resistors

<p>The <code>resistors</code> data frame has 28 rows and 2 columns.</p><table class='table'>
<tr><td>[, 1]</td><td>midpoints</td><td>midpoints of intervals (ohm)</td></tr>
<tr><td>[, 2]</td><td>counts</td><td>number of observations in interval</td></tr>
</table>



resistors: Resistance of One-half-ohm Resistors

Description

Usage

Arguments

Format

References

Examples

[, 1]	midpoints	midpoints of intervals (ohm)
[, 2]	counts	number of observations in interval