Draws the observed points, the fitted power curve \(a X^{-b}\), dotted guides to the maximum-curvature point and the model annotation. Unlike the plateau models there is no flat segment: the curve keeps decreasing.
Usage
# S3 method for class 'mcm_fit'
plot(
x,
title = "Modified Maximum Curvature",
annotate_model = TRUE,
xlab = NULL,
ylab = "CV (%)",
decimal_mark = c(".", ","),
digits_coef = 3,
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
an
"mcm_fit"object.- title, annotate_model, xlab, ylab, decimal_mark, digits_coef, digits_stat
as in
plot.lrp_fit().- point_size, line_size, point_colour, line_colour, bp_colour
aesthetics.
- base_size, label_size, title_size, family, theme
theme and text controls.
- save, file, format, dpi, width, height, units, compression
saving controls.
- ...
ignored.