plot.fpl.pom {calib} | R Documentation |
Provides plotting method for the various fpl fits.
plot.fpl.pom(fpl.out, conf = 0.9, m = fpl.out@m, main = "", xlab = "", ylab = "", xlim = c(0, max(fpl.out@x)), ylim = c(0, 1.1 * max(fpl.out@y, na.rm = T)), logplot = F, print.txt = T, click.txt = F, start.txt, increm, dig = c(4, 3), txt.size = 1, heading = T, lof.print = F, pred.lim = F, ...)
fpl.out |
Object of class calib.fit |
conf |
Confidence limits to plot |
m |
Number of replicates |
main |
Title of graph |
xlab |
x label |
ylab |
y label |
xlim |
x limit |
ylim |
y limit |
logplot |
Determines if x variable to be printed on the log scale |
print.txt |
Should text be printed on the plot |
click.txt |
... |
start.txt |
... |
increm |
Helps determine the position of the text |
dig |
Graphing parameter determining text size on the plot |
txt.size |
Controls text size proportion (similar to cex par argument) |
heading |
... |
lof.print |
Should the lack of fit statistics be printed |
pred.lim |
Should prediction limits for confidence intervals be plotted. Default is FALSE. |
... |
... |
Note that this function is not directly accessible by the user but is accessed through plot. See example below.
Perry Haaland, Daniel Samarov, Elaine McVey
data(ELISA) attach(ELISA) model <- calib.fit(Concentration, Response, type = "fpl.pom") plot(model)