plot.slouch: Plot Grid Search
In slouch: Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses

Graphical plot of parameter space traversed by the grid search.

1 2	## S3 method for class 'slouch' plot(x, theta = 30, phi = 30, expand = 0.5, ltheta = 120, shade = 0.75, ...)

`x`	An object of class 'slouch'
`theta`	angles defining the viewing direction. `theta` gives the azimuthal direction and `phi` the colatitude.
`phi`	angles defining the viewing direction. `theta` gives the azimuthal direction and `phi` the colatitude.
`expand`	a expansion factor applied to the `z` coordinates. Often used with `0 < expand < 1` to shrink the plotting box in the `z` direction.
`ltheta`	if finite values are specified for `ltheta` and `lphi`, the surface is shaded as though it was being illuminated from the direction specified by azimuth `ltheta` and colatitude `lphi`.
`shade`	the shade at a surface facet is computed as `((1+d)/2)^shade`, where `d` is the dot product of a unit vector normal to the facet and a unit vector in the direction of a light source. Values of `shade` close to one yield shading similar to a point light source model and values close to zero produce no shading. Values in the range 0.5 to 0.75 provide an approximation to daylight illumination.
`...`	Additional parameters passed to persp(...) or plot(...)

data(artiodactyla)
data(neocortex)

neocortex <- neocortex[match(artiodactyla$tip.label, neocortex$species), ]

m0 <- slouch.fit(phy = artiodactyla,
                 hl_values = seq(0.001, 50, length.out = 15),
                 vy_values = seq(0.001, 3, length.out = 15),
                 species = neocortex$species,
                 response = neocortex$body_mass_g_log_mean,
                 mv.response = neocortex$body_mass_g_log_varmean,
                 fixed.fact = neocortex$diet)
                 
plot(m0)