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 inter-laboratory study data, grouped by laboratory, to give a rapid graphical view of laboratory bias and relative precision. This plot produces a grouped, side-by-side 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 mid-points of the groups along the x-axis.
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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