streamlines | R Documentation |
streamlines()
draws raindrop-shaped paths at a randomized grid of points that follow trajectories
flow_field()
draws arrows showing the flow at a grid of points
trajectory_euler()
compute an Euler solution. ()
streamlines(..., npts = 8, dt = 0.01, nsteps = 10, color = "black", alpha = 1) flow_field(..., npts = 8, scale = 0.8, color = "black", alpha = 1) trajectory_euler(..., dt = 0.01, nsteps = 4, full = TRUE, every = 1)
... |
The first arguments should describe the dynamics. See details. |
npts |
The number of points on an edge of the grid |
dt |
time step (e.g. 0.01) |
nsteps |
how many Euler steps to take |
color |
What color to use |
alpha |
What alpha to use |
scale |
Number indicating how long to draw arrows. By default, the longest arrows take up a full box in the grid |
full |
report the derivative and the step size for each variable |
every |
n, report will contain every nth step |
The dynamical functions themselves will be formulas like dx ~ a*x*y
and dy ~ y/x
.
Initial conditions will be arguments of the form x=3
and y=4
.
If there are parameters in the dynamical functions, you should also
add the parameter values, for instance a=2
.
For flow_field()
and streamlines()
you do not need to specify
initial conditions. The grid will be set by the domain argument.
The graphics functions are all arranged to accept,
if given, a ggplot object piped in. The new graphics layer will be drawn on
top of that. If there is no ggplot object piped in, then the graphics
will be made as a first layer, which can optionally piped into other
ggformula functions or +
into ggplot layers.
streamlines(dx ~ x+y, dy~ x-y, domain(x=0:6, y=0:3)) flow_field(dx ~ x+y, dy~ x-y, domain(x=0:6, y=0:3)) Dyn <- makeODE(dx ~ 0.06*x, dy ~-x - y, domain(t=0:20), dt=0.1,x=3, y=4) streamlines(Dyn, domain(x=-5:5, y=-5:5), npts=15) flow_field(Dyn, domain(x=-6:6, y=-10:10)) trajectory_euler(dx ~ -y, dy ~ .5*x, x=3, y=3) rabbits <- drabbit ~ 0.2*rabbit - 0.01*rabbit*fox foxes <- dfox ~ -.2*fox + 0.0005*rabbit*fox trajectory_euler(rabbits, foxes, rabbit=100, fox=3, dt=0.1, nsteps=500, every=10)
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