metRology (version 0.9-28-1)

gplot: Grouped plots of type "h"

Description

gplot is primarily used by plot.mandel.kh to produce the underlying grouped data plot.

Usage

gplot(x, main = NULL, xlab = NULL, ylab = deparse(substitute(x)), 
		ylim = NULL, las = 1, axes = TRUE, cex.axis = 1, 
		frame.plot = axes, lwd = 1, lty = 1, col = par("col"), 
		separators = TRUE, col.sep = "lightgrey", lwd.sep = 1, 
		lty.sep = 1, zero.line = TRUE, 
		lwd.zero = 1, col.zero = 1, lty.zero = 1, 
		spacing=NA, ...)

Arguments

x

A matrix or data frame to be plotted.

main

Main title for the plot.

xlab, ylab

Labels for x and y axes.

ylim

the y limits of the plot.

las

the style of the axis labels; see par for details.

axes

a logical value indicating whether axes should be drawn on the plot.

cex.axis

The magnification to be used for axis annotation relative to the current setting of 'cex'.

frame.plot

Logical; If TRUE a box is drawn around the plot.

lwd, lty, col

Graphical parameters used for the plotted vertical lines corresponding to each value in x.

separators

Logical; if TRUE, separator lines are drawn between groups of values.

col.sep, lwd.sep, lty.sep

Graphical parameters used for the separator lines.

zero.line

logical; if TRUE a horizontal line is drawn at zero.

lwd.zero, col.zero, lty.zero

Graphical parameters used for the zero line.

…

Other graphical parameters passed to plot.

spacing

Spacing for data within each group, as a fraction of inter-group spacing. Defaults to 0.3 or less.

Value

A numeric vector of mid-points of the groups along the x-axis.

Details

gplot produces a plot of type="h", with values in x grouped by row and with optional vertical separators between groups. The plotting order (left to right) is in order of stack(as.data.frame(t(x))); each group corresoponds to a row in x.

Because gplot is primarily a supporting function for plot.mandel.kh, it assumes a suitable object will be provided and does minimal checking to ensure an appropriate object class. Error messages may not be very informative.

References

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).

See Also

plot.mandel.kh

Examples

# NOT RUN {
   data(RMstudy)
   h <- with(RMstudy, mandel.h(RMstudy[2:9], g=Lab))
   gplot(h, las=2) 
   	#Note the absence of indicator lines, title etc. 
   	#compared to plot(h)
# }