tools:::Rd_package_description("metRology")
tools:::Rd_package_author("metRology")
Maintainer: tools:::Rd_package_maintainer("metRology")
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 0.9-29-2 from version 0.9-28-4 include:
A new set of functions for pair-difference chi-squared statistics; see
pdchisq
and bootPDchisq
.
Group label placement in blockplot
has been extended to take
legend
-like character specification.
Variable name checking in uncert
and uncertMC
has
been harmonised and amended to fix a bug which caused apparent
mismatches between the supplied variables in x
and
the arguments in function obj
when the function included
an argument "...".
Minor changes in help files and some functions to clear new CRAN checks.
WARNING: The addition of a new pairwise statistic involves significant duplication of code used for the bootMSD class. Future versions are likely to use common bootstrap code and classes for both MSD and PDchisq classes. bootMSD.default is accordingly deprecated and may be removed or reduced to a wrapper for boot.mtr.pairwise, the current workhorse for bootPDchisq.
Changes in version 0.9-28-4 from version 0.9-28-3:
Corrected bug in uncertMC which sometimes failed to include non-zero covariances in partial covariance treatment when negative.
Changes in version 0.9-28-3 from version 0.9-28-2 include:
Corrected huber.estimate to use additional arguments in rlm call.
Changes in version 0.9-28-2 from version 0.9-28-0 include:
Fixed an error occurring in barplot.bootMSD
when names.arg
was unspecified and the boot object had no labels.
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.