Description Usage Arguments Details Value Author(s) References See Also Examples
barplot.mandel.kh
produces a bar plot of Mandel's statistics, suitably
grouped and with appropriate indicator lines for unusual values.
1 2 3 4 5 6 7 8 9  ## S3 method for class 'mandel.kh'
barplot(height, probs = c(0.95, 0.99), main,
xlab = attr(height, "grouped.by"),
ylab = attr(height, "mandel.type"), separators = TRUE,
zero.line = TRUE, ylim, p.adjust = "none",
frame.plot = TRUE, ...,
col.ind = 1, lty.ind = c(2, 1), lwd.ind = 1,
col.sep = "lightgrey", lwd.sep = 1, lty.sep = 1,
lwd.zero = 1, col.zero = 1, lty.zero = 1)

height 
An object of class 
probs 
Indicator lines are drawn for these probabilities. Note that

main 
a main title for the plot. If missing, the default is

xlab 
a label for the x axis; defaults to the 
ylab 
a label for the x axis; defaults to the 
separators 
Logical; if 
zero.line 
logical; if 
ylim 
the y limits of the plot. For Mandel's k, the default lower limit is zero. 
p.adjust 
Correction method for probabilities. If not 
frame.plot 
Logical; If 
... 
Other (usually graphical) parameters passed to 
col.ind, lty.ind, lwd.ind 
Graphical parameters used for the indicator lines, recyckled to 
col.sep, lwd.sep, lty.sep 
Graphical parameters used for the separator lines. 
lwd.zero, col.zero, lty.zero 
Graphical parameters used for the zero line. 
Mandel's statistics are traditionally plotted for interlaboratory study data, grouped by laboratory, to give a rapid graphical view of laboratory bias and relative precision. This plot produces a grouped, sidebyside bar plot.
For classical Mandel statistics, indicator lines are drawn based on qmandelh
or qmandelk
as appropriate. For robust variants, indicator lines use
qnorm
for the h statistic and qf(probs, n, Inf)
for
the k statistic. Note that this corresponds to taking the robust estimates of
location and scale as true values, so will be somewhat anticonservative.
barplot.mandel.kh returns a numeric vector of midpoints of the groups along the xaxis.
S Ellison s.ellison@lgc.co.uk
Accuracy (trueness and precision) of measurement methods and results – Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method. ISO, Geneva (1994).
mandel.h
, mandel.k
, mandel.kh
,
pmandelh
, pmandelk
for probabilities, quantiles etc.
See plot.mandel.kh
for the 'classic' Mandel plot.
1 2 3 4 5 6 7 8 9 10 11 12 13 14  data(RMstudy)
h < with(RMstudy, mandel.h(RMstudy[2:9], g=Lab))
barplot(h, las=2) # Lab 4 shows consistent low bias;
# Lab 23 several extreme values.
#Use colours to identify particular measurands:
barplot(h, las=2, col=1:8)
legend("bottomleft", legend=names(h), fill=1:8, cex=0.7, bg="white")
#Example of Mandel's k:
k < with(RMstudy, mandel.k(RMstudy[2:9], g=Lab))
barplot(k, las=2) # Lab 8 looks unusually variable;
# Lab 14 unusually precise

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