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metRology (version 0.9-29-2)

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.

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Version

Install

install.packages('metRology')

Version

0.9-29-2

License

GPL (>= 2)

Maintainer

Stephen R Ellison

Last Published

January 20th, 2025

Functions in metRology (0.9-29-2)

apricot

Collaborative study results for fibre content in an apricot test material
bootMtrPairs-class

Object returned by bootMtrPairs and associated methods.
boot.mtr.pairwise

Parametric bootstrap for pairwise comparison statistics.
buildCor

Functions to build correlation and covariance matrices.
boxplot.mandel.kh

Box plot of Mandel's h or k statistics
bootMSD

Parametric bootstrap for median scaled difference
bkp

Draw block plots from block plot objects
bootMSD-class

Object returned by bootMSD and associated methods.
blockplot

Generate a “block plot” - a histogram variant identifiying individual data points.
barplot.mandel.kh

Barplot of Mandel's h or k statistics
drop1.uncert

Single variable deletions from the uncertainty budget.
chromium

Chromium data for two different materials included in an interlaboratory study
contribs

Extract contributions from an 'uncert' object.
Mandel-k

Mandel's k statistic.
Scaled t distribution

Scaled and shifted t distribution.
derSimonian-Laird

derSimonian-Laird estimator
cplot

Consistency plot for Key Comparisons
Mandel-h

Mandel's h statistic.
data.ellipse

Construct data ellipses suitable for use with Youden plots.
cov.dellipse

Constructs a covariance and location object for use in plotting data ellipses.
kplot

Dot-and-bar plot for Key Comparisons
mandel.k

Calculate Mandel's k statistics for replicate observations
duewer.plot

Duewer concordance/apparent precision plot
Triangular

The triangular distribution.
mandel.kh

Calculate Mandel's h and k statistics for replicate observations
gplot

Grouped plots of type "h"
mandel.h

Calculate Mandel's h statistics for replicate observations
loc.est-class

The location estimate class
metRology-package

tools:::Rd_package_title("metRology")
ilab-class

The 'ilab' class.
MSD-class

Methods for the object returned by msd.
Mandel-Paule

Mandel-Paule calculation
PDchisq-class

Methods for the object returned by pdchisq.
methods.ilab

Methods for the 'ilab' class.
pdchisq

Pair-difference chi-squared statistic
metRology_pkg-internal

Internal metRology objects
mle.1wre

Vangel-Rukhin Maximum Likelihood Estimate
plot.d.ellipse

Plot data ellipses
msd

Median scaled difference
plot.mandel.kh

Classical plots of Mandel's statistics.
REML location estimate

Restricted maximum likelihood estimate of location
plot.uncert

Plot method for 'uncert' objects
potassium

Potassium data for two different materials included in an interlaboratory study
uncertMC

Monte Carlo evaluation of measurement uncertainty.
rbind.ilab

Combine 'ilab' objects
plot.uncertMC

Plot method for 'uncertMC' objects
.pmsd.xnorm

Internal functions for package RKC.
uncert-class

The 'uncert' class
pmsd

Median scaled difference probabilities and quantiles
uncertMC-class

The 'uncertMC' class
youden.plot

Youden plots
xs.plot

Mean/Standard deviation plot with confidence region.
update.uncert

Update and recalculate an uncertainty estimate
uncert

Uncertainty estimation functions
vr.mle

Vangel-Rukhin Maximum Likelihood Estimate
welch.satterthwaite

Welch-Satterthwaite effective degrees of freedom
Extract.ilab

The 'ilab' class.
Pb

Lead in wine
GUM.H.1

Example H.1 from the Guide to the Expression of Uncertainty in Measurement
algS

‘Algorithm S’ - robust estimate of pooled standard deviation
algA

Robust estimation of location and scale using Algorithm A
RMstudy

Collaborative study results for metals in a reference material certification study
GUM

Propagation of Measurement Uncertainty for Typical Metrology Applications Using the Methods Outlined in the GUM
GUM.validate

Monte Carlo Check on the Statistical Performance of GUM Uncertainty Intervals Using Attained Coverage Probability
LCS

LCS: Largest consistent subset
M-estimators

M- and MM-estimators for location.