Skip to contents

Extract names and times of individuals of interest in the current tree sequence (either all sampled individuals or those that the user simplified to)

Usage

ts_samples(ts)

Arguments

ts

Tree sequence object of the class slendr_ts

Value

Table of individuals scheduled for sampling across space and time

Examples

check_dependencies(python = TRUE, quit = TRUE) # dependencies must be present

init_env()
#> The interface to all required Python modules has been activated.

# load an example model with an already simulated tree sequence
slendr_ts <- system.file("extdata/models/introgression_slim.trees", package = "slendr")
model <- read_model(path = system.file("extdata/models/introgression", package = "slendr"))

# load the tree-sequence object from disk
ts <- ts_load(slendr_ts, model)

# extract the table of individuals scheduled for simulation and sampling
ts_samples(ts)
#> # A tibble: 13 × 3
#>    name   time pop  
#>    <chr> <int> <chr>
#>  1 NEA_1 70000 NEA  
#>  2 NEA_2 40000 NEA  
#>  3 AFR_1     0 AFR  
#>  4 AFR_2     0 AFR  
#>  5 AFR_3     0 AFR  
#>  6 AFR_4     0 AFR  
#>  7 AFR_5     0 AFR  
#>  8 CH_1      0 CH   
#>  9 EUR_1     0 EUR  
#> 10 EUR_2     0 EUR  
#> 11 EUR_3     0 EUR  
#> 12 EUR_4     0 EUR  
#> 13 EUR_5     0 EUR