simulatorAll: Title
In sylvainschmitt/ecoevosimulator: Eco-evolutionnary simulator

Description Usage Arguments Value Examples

Title

simulatorAll(
  grid = 20,
  Nt = 50,
  timestep = 30,
  topography = "sinusoidal",
  Elim = 5,
  amplitude = 1,
  ruggedness = 1,
  plot = 1,
  muNCI = 124,
  sigmaNCI = 26,
  alpha = -1.32,
  beta = 0.003,
  mu = 0.749,
  sigma = 2.651,
  lambda = 0.31,
  d = 3,
  sigmaGtopo = 1,
  sigmaZtopo = 1,
  sigmaGnci = 26,
  sigmaZnci = 26,
  Pdeath = 0.01325548,
  Ns = 4,
  Rpollination = 1,
  Rdispersion = 1,
  determinist = TRUE,
  verbose = TRUE
)

`grid`	int. Number of cells per side of the matrix.
`Nt`	int. Number of time-steps.
`timestep`	int. Time-step length in years.
`topography`	char. Topography generator between 'sinusoidal', 'squarediamond' or 'paracou'.
`Elim`	double. Environmental matrix extrme (absolute value).
`amplitude`	double. Amplitude of the sinusoidal functional.
`ruggedness`	double. Ruggedness parameter.
`plot`	int. Plot number between 1 and 15 (a cell size is 3x3m).
`muNCI`	double. mu parameter for the normal distribution used for NCI.
`sigmaNCI`	double. sigma parameter for the normal distribution used for NCI.
`alpha`	double. Intercept for the Bernoulli distribution determining the risk to have a negative deltaNCI.
`beta`	double. Slope of previous NCI for the Bernoulli distribution determining the risk to have a negative deltaNCI.
`mu`	double. mu parameter for the lognormal distribution used for positive deltaNCI.
`sigma`	double. sigma parameter for the lognormal distribution used for positive deltaNCI.
`lambda`	double. lambda parameter for the exponential distribution used for negative deltaNCI.
`d`	int. Spatial auto-correlation size in number of cells.
`sigmaGtopo`	double. Variance of genetic values with topography.
`sigmaZtopo`	double. Plasticity of phenotypes with topography.
`sigmaGnci`	double. Variance of genetic values with NCI.
`sigmaZnci`	double. Plasticity of phenotypes with NCI.
`Pdeath`	double. Background mortality probability.
`Ns`	int. Number of seedlings per cell.
`Rpollination`	int. Pollination radius in cells (father to mother).
`Rdispersion`	int. Dispersal radius in cells (mother to seedling).
`determinist`	bool. Deterministic or probabilistic viability.
`verbose`	bool. Should the function print statuses.