Usage
pfr_plot.gam(x, residuals = FALSE, rug = TRUE, se = TRUE, pages = 0,
select = NULL, scale = -1, n = 100, n2 = 40, pers = FALSE,
theta = 30, phi = 30, jit = FALSE, xlab = NULL, ylab = NULL,
main = NULL, ylim = NULL, xlim = NULL, too.far = 0.1,
all.terms = FALSE, shade = FALSE, shade.col = "gray80", shift = 0,
trans = I, seWithMean = FALSE, unconditional = FALSE,
by.resids = FALSE, scheme = 0, ...)
## S3 method for class 'mgcv.smooth':
plot(x, P = NULL, data = NULL, label = "",
se1.mult = 1, se2.mult = 2, partial.resids = FALSE, rug = TRUE,
se = TRUE, scale = -1, n = 100, n2 = 40, pers = FALSE, theta = 30,
phi = 30, jit = FALSE, xlab = NULL, ylab = NULL, main = NULL,
ylim = NULL, xlim = NULL, too.far = 0.1, shade = FALSE,
shade.col = "gray80", shift = 0, trans = I, by.resids = FALSE,
scheme = 0, ...)
## S3 method for class 'random.effect':
plot(x, P = NULL, data = NULL, label = "",
se1.mult = 1, se2.mult = 2, partial.resids = FALSE, rug = TRUE,
se = TRUE, scale = -1, n = 100, n2 = 40, pers = FALSE, theta = 30,
phi = 30, jit = FALSE, xlab = NULL, ylab = NULL, main = NULL,
ylim = NULL, xlim = NULL, too.far = 0.1, shade = FALSE,
shade.col = "gray80", shift = 0, trans = I, by.resids = FALSE,
scheme = 0, ...)