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Useful function to extract mean phenotype values from RITHMS output

get_mean_phenotypes.Rd

The gets functions use the output of holo_simu() to extract the information of interest from a given generation. get_mean_phenotypesextract average phenotype from a generation object.

Usage

get_mean_phenotypes(data)

Arguments

data

List corresponding to one generation, as returned by holo_simu(). Containing simulation output.

Value

The mean phenotype value for a given generation.

See also

get_microbiomes(), get_phenotypes_value(), get_om_beta_g(), get_selected_ind(), get_phenotypes()

Examples

if (FALSE) { # \dontrun{
library(purrr)
library(magrittr)
data("Deru")
ToyData <- Deru
taxa_assign_g <- assign_taxa(founder_object = ToyData)
generations_simu <- holo_simu(h2 = 0.25, b2 = 0.25, founder_object = ToyData,
                              n_clust = taxa_assign_g, n_ind = 500,
                              verbose = FALSE, seed = 1234)
                              
# Extract mean phenotype value for G1 generation
G1_mean_phenotype <- get_mean_phenotypes(generations_simu$G1)

# Extract mean phenotype values of all generations
## Don't forget to substract the metadata
mean_phenotypes <- generations_simu[-1] %>% map(get_mean_phenotypes)
} # }