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IPMpack (version 1.6)

generateData: Generates random data in the form used by IPMpack.

Description

Simulates growth, survival and fecundity to create a dataframe of the form required by the functions and methods used in IPMpack. Demographic stage data is only continuous.

Usage

generateData(nSamp=1000)

Arguments

nSamp
number of samples desired in the base population, defaults to 1000

Value

  • A dataframe with headings: - "size": continuous variable, indicating current size. - "sizeNext" continuous variable, indicating size in the next time step. - "surv": boolean, indicating whether individual survived or not to the next time step. - "covariate": discrete covariate. - "covariateNext": discrete covariate in the next time step. - "fec": continuous variable, indicating fecundity.

Details

Note that the random data created includes only one discrete covariate structuring the population (e.g., habitat type [shaded, open], age [0, 1, 2, 3 years old...], time since fire [0, 1, 2, 3 years...], etc); user can include into the data frame additional discrete covariates if necessary. To include continuous covariates (e.g., precipitation, temperature, light incidence, hurricane recurrence interval, etc) in randomized data, refer to generateDataStoch(). For randomized datasets with complex life cycles that include discrete stages (e.g., seedbank), refer to generateDataDiscrete().

See Also

generateDataStoch,generateDataDiscrete

Examples

Run this code
dff <- generateData(nSamp=2000)
head(dff)

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