plot.thpl.pom {calib} | R Documentation |
Provides plotting method for the various thpl fits.
plot.thpl.pom(thpl.out, conf = 0.9, m = thpl.out@m, main = "", xlab = "", ylab = "", xlim = c(0, max(thpl.out@x)), ylim = c(0, 1.1 * max(thpl.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, bios = F, pred.lim = F, ...)
thpl.out |
Object of class thpl.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 printed on the log scale |
print.txt |
Should text be printed |
click.txt |
... |
start.txt |
... |
increm |
Helps determine the position of the text |
dig |
Graphing parameter determining text size of the plot |
txt.size |
Controls text size proportion (similar to cex par argument) |
heading |
... |
lof.print |
Should the lack of fit statistics be printed |
bios |
If TRUE then instead of having the parameterization beta1,..., beta3 to describe the thpl model, Finf, F0 and Kd printed instead |
pred.lim |
Should prediction limits for confidence limits 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(HPLC) attach(HPLC) model <- calib.fit(Concentration, Response, type = "thpl.pom") plot(model)