Plots sample concentration estimates derived from Bayesian calibration. E.g. analyseISE uses Bayesian calibration to estimate parameters for y = a + b log(x + c) + error, where error follows a normal distribution with mean 0 and standard deviation sigma. These valus are combined with experimental data to estimate sample concentrations.
# S3 method for analyseISE
plot(x, xlab = "Sample ID",
ylab = expression(paste(log[10], " { ", italic(x), " }")), xlim = NA,
ylim = c(-15, 0), x.ticks = NA, y.ticks = NA, x.ticks.label = TRUE,
y.ticks.label = TRUE, y.las = 2, col = 1, x.shift = 0, xaxs = "r",
yaxs = "r", add.box = TRUE, ...)No return value, creates plot.
Calibration and experimental sample results (of class 'analyseISE'; see analyseISE)
Label for the x-axis
Label for the y-axis
Limits for the x-axis. Automatically calculated if xlim = NA.
Limits for the y-axis.
Location of tickmarks for the x-axis. Automatically calculated if x.ticks = NA.
Location of tickmarks for the y-axis. Automatically calculated if y.ticks = NA.
Labels associated with x-axis tickmarks for the x-axis. Automatically calculated labels (TRUE), no labels (FALSE), or a column of text specifying custom labels (e.g. x.ticks.label = c("A", "B", "C") or similar, of the same length as x.ticks).
Labels associated with y-axis tickmarks for the y-axis. See x.ticks.label for details.
Indicates whether y-axis labels be perpendicular to the y-axis (2) or parallel to it (0).
Colour for the field of the plot.
Shifts the plots to the left (- values) or right (+ values); useful for overlaying figures.
The style of x-axis interval. See par for further details, but "r" adds 4 percent padding, "i" has no padding.
The style of y-axis interval. See xaxs above.
Indicates whether a box should be drawn around the plot (TRUE) or not (FALSE).
Other arguments to be passed through to plotting functions.
Peter Dillingham, peter.dillingham@otago.ac.nz
analyseISE