Same layout and options as plot.lrp_fit(), with the quadratic descending
arm and the quadratic equation in the annotation.
Usage
# S3 method for class 'qrp_fit'
plot(
x,
title = "Quadratic Plateau",
annotate_model = TRUE,
xlab = NULL,
ylab = "CV (%)",
decimal_mark = c(".", ","),
cond_word = "if",
digits_coef = 3,
digits_c = 4,
digits_stat = 2,
point_size = 2.3,
line_size = 0.8,
point_colour = "black",
line_colour = "black",
bp_colour = "red",
base_size = 12,
label_size = 4.6,
title_size = NULL,
family = "sans",
theme = NULL,
save = FALSE,
file = NULL,
format = c("tiff", "png", "jpeg", "pdf", "eps"),
dpi = 300,
width = 18,
height = 12,
units = "cm",
compression = "lzw",
...
)Arguments
- x
a
"qrp_fit"object.- title
plot title.
- annotate_model
draw the model equations and statistics.
- xlab, ylab
axis titles.
xlab = NULLuses "Plot size (m^2)".- decimal_mark
decimal separator, "." or ",".
- cond_word
conditional word in the equations (e.g. "if" or "se").
- digits_coef, digits_c, digits_stat
decimals for a/b, for c, and for the statistics.
- point_size, line_size
sizes of points and fitted line.
- point_colour, line_colour, bp_colour
point, line and breakpoint colours.
- base_size, label_size, title_size, family
theme and annotation sizes and font family.
- theme
optional ggplot2 theme used instead of the default.
- save, file, format, dpi, width, height, units, compression
saving controls; see
plot.lrp_fit().- ...
ignored.