Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Noam Ross
Senior Research Scientist, EcoHealth Alliance
plot(mod_2d)
plot(mod_2d, scheme = 1)
plot(mod_2d, scheme = 2)
vis.gam(x,
view = NULL,
cond = list(),
n.grid = 30,
too.far = 0,
col = NA,
color = "heat",
contour.col = NULL,
se = -1,
type = "link",
plot.type = "persp",
zlim = NULL,
nCol = 50,
...)
vis.gam(x = mod, # GAM object
view = c("x1", "x2"), # variables
plot.type = "persp") # kind of plot
vis.gam(x = mod, # GAM object
view = c("x1", "x2"), # variables
plot.type = "contour") # kind of plot
vis.gam(mod, view = c("x1", "x2"), plot.type = "contour", too.far = 0.1)
vis.gam(mod, view = c("x1", "x2"), plot.type = "contour", too.far = 0.05)
vis.gam(x = mod, view = c("x1", "x2"),
plot.type = "persp", se = 2)
vis.gam(g, view = c("x1", "x2"), plot.type = "persp",
theta = 220)
vis.gam(g, view = c("x1", "x2"), plot.type = "persp",
phi = 55)
vis.gam(g, view = c("x1", "x2"), plot.type = "persp",
r = 0.1)
vis.gam(g, view = c("x1", "x2"), plot.type = "contour",
color = "gray")
vis.gam(g, view = c("x1", "x2"), plot.type = "contour",
contour.col = "blue")
vis.gam(g, view = c("x1", "x2"), plot.type = "contour",
nlevels = 20)
Nonlinear Modeling with Generalized Additive Models (GAMs) in R