metRology-package {metRology}

Support for Metrological Applications

Description

Provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.

Details

The metRology package includes functions for:

• Plotting for Key Comparisons (dot-and-bar, consistency)

• Uncertainty evaluation using algebraic or numeric differentiation, with support for correlation

• Monte Carlo evaluation of uncertainty (including correlation for normally distributed variables)

• Classes and functions for location estimates for metrology comparisons

• Mandel's h and k statistics and plots for interlaboratory studies

• Support functions for an excel interface

Changes in version 0.9-28-1 from version 0.9-28-0 include:

• Fixed blockplot x-axis label, which was incorrect.

Changes in version 0.9-28-0 from version 0.9-27-2 include:

• A new plot, blockplot, added. A “block plot” is a histogram variant identifiying individual data points, which appear as “blocks” in the plot. blockplot provides for grouped data, which generates vertically separated subplots for each group. Fills and label colours can be specified for each data point.

Changes in version 0.9-27-2 from version 0.9-26-2 include:

• pmsd and related functions will now use fast interpolation by default, and provide exact values for both odd- and even-n data sets up to n=199.

• gplot (called by plot.mandel.kh) now has a spacing parameter which allows finer control of vertical line spacing.

Changes in version 0.9-26-2 from version 0.9-26-1 include:

• Fix to a bug in reml.loc which failed to report the standard uncertainty u correctly.

• cplot now respects cex.axis as a plot parameter.

Changes in version 0.9-26-1 from version 0.9-26-0 include:

• Added plot and barplot methods for MSD class.

• Minor correction to code in msd to prevent over-replication of estimated s when s is a function and returns a vector.

Changes in version 0.9-26 from version 0.9-25 include:

• msd now returns an object of class "MSD" which includes the original data as attributes to permit subsequent bootstrapping.

• A new function, bootMSD that performs parametric bootstrapping for MSD objects to obtain critical values and p-values for the general case where standard uncertainties/standard errors differ appreciably.

Improvements in version 0.9-25 from version 0.9-23 include:

• plot.d.ellipse now takes default xlab and ylab from dimnames in the supplied cov.dellipse.

Improvements in version 0.9-23 from version 0.9-22 include:

• A wholly new Youden plot (see yplot), with many options for confidence ellipses

• A REML location estimate, reml.loc, in addition to vr.mle; reml.loc can use means and standard uncertainties/standard errors instead of raw data and when doing so does not require degrees of freedom.

• Incremental improvements in handling for the median scaled difference measure of anomalies. msd is faster and less memory-intensive, and pmsd now uses a beta formulation to extend to very high n (at least 1e6 - if you feel very patient).

• Support for log and log.p in dt.scaled.

Corrections and bugfixes include:

• amends plot.drop1.uncert to give a plot for each measure of change specified in which

• corrects a grep warning appearing in drop1.uncert;

• corrects an unnecessary 'missing u' error message in version 0.9-22's uncert() when cov was specified and u was not.

Author(s)

Stephen L R Ellison <[e-mail]>.

Maintainer: Stephen L R Ellison <[e-mail]>