plot.matrix: Plot a matrix(-like object) row-wise.
In drmjc/mjcgraphics: mjc's graphics library

Description Usage Arguments Value Author(s)

Can specify a different col, lty and/or lwd for each line (defaults are all 1). unique.lines will work out a unique combination of col and lty for each row of x (num rows <= 64)

  plot.matrix(x, bg.col = "lightgrey", main = NULL,
    sub = NULL, ticks = c(1, 2, 3, 4), xlab = "",
    xlim = c(1, ncol(x)), xlabels = rep("", ncol(x)),
    ylab = "", ylim = range(x, na.rm = TRUE),
    ylabels = NULL, vablines = NULL,
    vabline.col = "darkgrey", vabline.lty = 1,
    hablines = NULL, habline.col = "darkgrey",
    habline.lty = 1, col = 1, lty = 1, lwd = 1, pch = 1,
    type = "l", axes = TRUE, tcl = 0.25, add = FALSE,
    auto.log = TRUE, symmetrical = FALSE,
    unique.lines = FALSE, lty.cor = FALSE,
    legend.pos = "none", ...)

`x`	a matrix-like object of data, with each row to be plotted in a single line (if type draws lines)
`auto.log`	if the data is in the range [0,1] then it can be converted to -log10. Useful if x contains p-values.
`symmetrical`	If the data in x is centred approx about 0, then setting to `TRUE` makes the plots a little more pleasing.
`unique.lines`	works out a unique combination of line colour and type (col and lty) such that the lines plotted are as unique as possible (ie 8 coloured solid lines, then 8 dotted etc)
`lty.cor`	If x contains records that are correlated, and perhaps anti- correlated, setting to TRUE will work out which lines are anti- correlated, and plot them as dashed lines, with all of the correlated lines drawn as solid lines.
`legend.pos`	see `legend`(pos)