simHostSwitch: Simulates the number of dispersion and successful host switch...

Description Usage Arguments Details Value See Also Examples

Description

Simulates the number of dispersion and successful host switch events by individuals of the Consumer until all individuals die.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
simHostSwitch(
  data = NULL,
  column = NULL,
  K = 100,
  b = 10,
  mig = 0.01,
  sd = 0.2,
  sigma = 1,
  pRes_min = 1,
  pRes_max = 10,
  n_generations = 200,
  jump_back = "no",
  seed = NULL,
  n_sim = 1,
  nInitConsumer = 20
)

Arguments

data

A matrix or dataset, the columns may indicate different types of Consumes characterized by a specific set of parameters (rows), see details. Default value: NULL.

column

Used together with data argument; indicate the column name, string. Default value: NULL.

K

Carrying capacity, positive integer (min=1, max=1000), default value: 100.

b

net reproduction rate; average number of offspring that a population of the Consumer produces at each generation, numeric value (min=0), default value: 10.

mig

define the proportion of successful migrating individuals at each generation, numeric value (min=0, max=1), default value: 0.01.

sd

Standard deviation for mutation, numeric value (min=0, max=10), default value: 0.2.

sigma

Standard deviation of the survival function, numeric value (min=0, max=10), default value: 1.

pRes_min

smallest optimum phenotype value imposed by the Resource, numeric value (min=1, max=pRes_max), default value: 1.

pRes_max

highest optimum phenotype value imposed by the Resource, numeric value (min=pRes_min, max=100), default value: 10.

n_generations

Number of generations, positive integer (min=1, max=50000), default value: 200.

jump_back

Option for consumers that do not survive on the novel resource. If "yes" the consumer(s) jump back to the current resource and will be considered in the selective pressure and reproduction stage for the n+1 generation, if "no" (default) it dies on the new host.

seed

a single value useful for creating simulations or random objects that can be reproduced, positive integer (>0), default value: NULL.

n_sim

Number of simulations, positive integer (min=1, max = 50000), default value: 1.

nInitConsumer

propagule size (or number of initial individuals) at the generation n = 0, default value: 20.

Details

This function simulates the number of host switches by the population of a consumer. There are 2 ways to provide parameters to the simHostSwitch function:

"data","column": Provide names of matrix/dataframe and column, e.g. data= "parli$Cephaloleia", column = "Cb.mLxjN"

individual parameter: e.g. b=5, n_generations=500, etc...

If no data/column or individual parameters are provided, default parameter values are used. The rownames of the data must match the parameter argument names. You may use one of the parli datasets as a template.

Results are stored to an object of class ‘HostSwitch’. to make use of summary and plotting functions in the HostSwitch package. Please note that when arguments "data" and "column" are provided, the results are stored to the global environment using the colname provided to the argument "column" (in our example above Cb.mLxjN).

The object of class ‘'HostSwitch’ includes the following simulated quantities:

$pRes_sim: a vector of the optimum phenotypes (one for each generation) that Consumers should have to be favored by the current Resource.

$pRes_new_sim: a vector of the optimum phenotypes (one for each generation) that Consumers should have to be favored by the novel Resource.

$pInd_sim: list of vectors that includes the individual phenotype values of the Consumers in the population of each generation.

$pInd_jump_sim: vector of number of migrating individuals at each generation. The vector length is always equal to the 'n_generation' parameter, if the simulation ends before the 'n_generation' value then the vector will include a 'NA' by default.

$pInd_whichjump_sim: list of vectors that extracts the individual phenotype values of the Consumers who disperse in a novel Resource in each population and generation.

$pInd_whichsurv_sim: list of vectors that extracts the individual phenotype values of the Consumers who successful colonize a novel Resource in each population and generation.

These simulated quantities of interest are available for each generation step and can be used for summary statistics and plots using functions summaryHostSwitch and plotHostSwitch, respectively.

Note: One important aspect of simHostswitch is that it is based on the survivalProbability function.

Value

An object of class ‘HostSwitch’.

See Also

survivalProbability, summaryHostSwitch, plotHostSwitch

Examples

1
2
3
4
5
6
7
8
9
m1 = simHostSwitch() # using default values for arguments

data(parli)
Cephaloleia=parli$Cephaloleia
m2 = simHostSwitch(data=Cephaloleia, column="Cb.mLxjN")

## Not run: 
simHostSwitch(sigma=100)
## End(Not run)

HostSwitch documentation built on Sept. 27, 2021, 9:06 a.m.