View source: R/plotmethod_lcc.R
lccPlot | R Documentation |
lcc
ObjectThis function generates a plot of predictions versus the time covariate for
an lcc
object. Predicted values are connected by lines, while actual
observations are denoted by circles. If components=TRUE
was used in the
lcc
object, individual plots for each statistic (LCC, LPC, and LA) are
produced on separate pages.
lccPlot(obj, type = "lcc", control = list(), ...)
obj |
An object inheriting from class "lcc", representing a fitted lcc model. |
type |
Character string specifying the type of plot to generate.
|
control |
A list of graphical control values or character strings returned
by the |
... |
Additional arguments passed to the
|
An object of class ggplot
or viewport
, depending on the
all.plot
setting in control
.
Thiago de Paula Oliveira, thiago.paula.oliveira@alumni.usp.br
lcc
, plotControl
data(hue)
# Second degree polynomial model with random intercept, slope and quadratic term
fm1 <- lcc(data = hue, subject = "Fruit", resp = "H_mean",
method = "Method", time = "Time", qf = 2, qr = 2, components = TRUE)
lccPlot(fm1, type = "lcc")
lccPlot(fm1, type = "lpc")
lccPlot(fm1, type = "la")
# Using ggplot2 themes
lccPlot(fm1, type = "lpc") + theme_bw() + labs(x = "Time (Days)", y = "LPC Value")
# Generating and saving plots
## Not run:
ggsave("lccPlot.pdf", lccPlot(fm1, type = "lcc"))
## End(Not run)
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